Infrastructure Network And Supply Engineer Jobs

Consultant Histopathologist NHS Consultant Opportunity Competitive NHS Consultant Salary + Pension + Relocation Support Join a Modern, Digitally Enabled Histopathology Service We are seeking an ambitious Consultant Histopathologist to join a well-established Cellular Pathology department within a leading NHS organisation. This opportunity offers the chance to work within a collaborative consultant team supported by digital pathology, advanced practitioner reporting, dedicated biomedical scientist support and a strong multidisciplinary working environment. The department operates an oligo-specialist reporting model and welcomes applications from both experienced consultants and doctors approaching CCT/CESR. Why Consider This Opportunity? Established and supportive consultant team Modern digital pathology environment UKAS-accredited laboratory Flexible working opportunities Strong MDT involvement Excellent work-life balance Dedicated SPA time Opportunities for teaching, training and service development Supportive leadership team with a focus on innovation and quality improvement The Role The successful candidate will join a consultant-led service providing high-quality diagnostic histopathology and cytopathology support across a broad range of specialties. Applications are welcomed from consultants with interests in: Gastrointestinal Pathology Dermatopathology Breast Pathology Gynaecological Pathology Urological Pathology Head & Neck Pathology Cytopathology General Diagnostic Histopathology Responsibilities include: Diagnostic reporting Participation in multidisciplinary team meetings Clinical governance activities Teaching and supervision of trainees Service development and quality improvement initiatives Department Features The service benefits from: Consultant-led subspecialist reporting Dedicated biomedical scientist support Advanced practitioner and dissection support Digital pathology infrastructure Strong clinical engagement with referring specialtie

About BlockTech As a Quantitative Trader on our Singapore trading floor, you’ll own positions and PnL end-to-end, from interpreting live market flow and liquidity through tuning and intervening in our automated systems, all the way to shaping the next generation of execution logic and trading tools. You’ll sit shoulder-to-shoulder with Quantitative Researchers, Quantitative Developers, and Software Engineers, and your decisions will directly drive how we trade across venues. The role Managing and monitoring D1 positions across multiple venues, owning the PnL and risk that comes with them Reading live market flow, liquidity conditions, and market events, and translating that read into concrete trading and execution decisions Tuning and parameterising our automated and semi-automated systems, and knowing when to step in to manage risk or capture an opportunity Improving execution quality and market-making performance through data-driven analysis of strategy behaviour Designing and specifying the trading tools, dashboards, and analytics that the desk relies on to make decisions Collaborating closely with researchers, developers, and engineers to sharpen models, infrastructure, and execution logic, and shaping the roadmap for new trading initiatives What we’re looking for 3+ years of experience as a Quantitative Trader and/or Quantitative Researcher in a professional trading environment, with demonstrated PnL responsibility on linear (D1) products across multiple venues Hands-on experience operating automated and semi-automated trading systems under live conditions: monitoring, tuning, and intervening when it matters Strong analytical instincts: you can take a messy dataset of fills and quotes and turn it into a concrete execution improvement A deep, intuitive grasp of market microstructure and the ability to explain why a strategy works, not just that it does Proficiency in Python for analysis, tooling, and interaction with trading systems An ownership mindset: being p

About BlockTech BlockTech is an algorithmic trading firm operating at the frontier of global crypto derivatives and spot markets. We trade 24/7 across some of the fastest-moving, most data-rich venues in finance. Crypto remains one of the few markets where a researcher can still meaningfully move the edge: abundant data, novel microstructure, and the shortest possible loop between a research idea and live PnL. We're looking for an experienced Quantitative Researcher to take ownership of that edge and push it further. The role This is a senior, hands-on research seat on our trading floor. You'll own a research agenda end-to-end from hypothesis, dataset construction, feature engineering, model training, backtesting, live deployment, monitoring, and iteration. You'll be trusted to set its direction. You'll work shoulder-to-shoulder with fellow researchers, traders and analysts, shape how we price and trade, and help raise the bar for research across the floor, including mentoring less experienced researchers and influencing the tools and standards the team relies on. You will: Own price-prediction, signal, execution, and anomaly-detection models across crypto derivatives and spot markets from idea to live PnL Shape our research, backtesting, and trading infrastructure together with engineers, so good ideas reach production quickly and safely Own models in production: monitor live performance, diagnose decay, and iterate on what you ship Set research direction alongside traders, deciding which trades are worth making and why Raise the research bar by mentoring colleagues, reviewing work, and setting standards for rigour What we're looking for 4+ years of hands-on quantitative research and/or applied ML experience, with a track record of models you've taken into production trading live A strong academic foundation in a quantitative discipline (mathematics, physics, statistics, computer science, ML/AI, or similar) Fluency in Python and the modern ML stack (PyTorch and/or

About BlockTech BlockTech is a fast-paced algorithmic trading firm at the frontier of global cryptocurrency derivatives and spot markets. We trade 24/7 across some of the most data-rich, fast-moving venues in finance, and we use that data to build smarter models, sharper signals, and more adaptive systems. Crypto is one of the few markets where a researcher can still meaningfully move the edge. The data is abundant, the microstructure is novel, and the feedback loop between a research idea and live PnL couldn’t be shorter. We’re growing fast, and we’re looking for a Quantitative Researcher with a strong machine learning toolkit to help us push that edge further. The role As a Quantitative Researcher on our trading floor, you’ll own ideas end-to-end from hypothesis and dataset construction through feature engineering, model training and backtesting, all the way to live deployment, monitoring, and iterative improvement. You’ll sit shoulder-to-shoulder with Quantitative Traders and Quantitative Analysts, and your work will directly drive how we price and trade. You will: Collaborate closely with traders to translate research insights into systematic trading strategies Design, develop and deploy models for price prediction, signal generation, execution, and anomaly detection across crypto derivatives and spot markets using state-of-the-art AI and ML techniques. Build robust trading, backtesting and research infrastructure alongside our engineers, so promising ideas can move into production quickly and safely Own models in production: monitoring live performance, diagnosing decay, and iterating on what you ship What we're looking for A strong academic background in a quantitative discipline (Mathematics, Physics, Statistics, Computer Science, Econometrics, ML/AI, or similar), typically a PhD or an MSc with strong research experience Fluency in Python and the modern ML stack (PyTorch and/or TensorFlow, scikit-learn, NumPy, pandas) A deep, intuitive grasp of overfitting, g

About BlockTech BlockTech is an algorithmic trading firm operating at the frontier of global crypto derivatives and spot markets. We trade 24/7 across some of the fastest-moving, most data-rich venues in finance. Crypto remains one of the few markets where a researcher can still meaningfully move the edge: abundant data, novel microstructure, and the shortest possible loop between a research idea and live PnL. We're looking for an experienced Quantitative Researcher to take ownership of that edge and push it further. The role This is a senior, hands-on research seat on our trading floor. You'll own a research agenda end-to-end from hypothesis, dataset construction, feature engineering, model training, backtesting, live deployment, monitoring, and iteration. You'll be trusted to set its direction. You'll work shoulder-to-shoulder with fellow researchers, traders and analysts, shape how we price and trade, and help raise the bar for research across the floor, including mentoring less experienced researchers and influencing the tools and standards the team relies on. What you'll do Own price-prediction, signal, execution, and anomaly-detection models across crypto derivatives and spot markets from idea to live PnL using state-of-the-art ML Shape our research, backtesting, and trading infrastructure together with engineers, so good ideas reach production quickly and safely Own models in production: monitor live performance, diagnose decay, and iterate on what you ship Set research direction alongside traders, deciding which trades are worth making and why Raise the research bar by mentoring colleagues, reviewing work, and setting standards for rigour What we're looking for 4+ years of hands-on quantitative research and/or applied ML experience, with a track record of models you've taken into production trading live A strong academic foundation in a quantitative discipline (mathematics, physics, statistics, computer science, ML/AI, or similar) Fluency in Python and the m

About BlockTech BlockTech is a fast-paced algorithmic trading firm at the frontier of global cryptocurrency derivatives and spot markets. We trade 24/7 across some of the most data-rich, fast-moving venues in finance, and we use that data to build smarter models, sharper signals, and more adaptive systems. Crypto is one of the few markets where a researcher can still meaningfully move the edge. The data is abundant, the microstructure is novel, and the feedback loop between a research idea and live PnL couldn’t be shorter. We’re growing fast, and we’re looking for a Quantitative Researcher with a strong machine learning toolkit to help us push that edge further. The role As a Quantitative Researcher on our trading floor, you’ll own ideas end-to-end from hypothesis and dataset construction through feature engineering, model training and backtesting, all the way to live deployment, monitoring, and iterative improvement. You’ll sit shoulder-to-shoulder with Quantitative Traders and Quantitative Analysts, and your work will directly drive how we price and trade. What you’ll work on Collaborating closely with traders to translate research insights into systematic trading strategies Designing, developing and deploying models for price prediction, signal generation, execution, and anomaly detection across crypto derivatives and spot markets using state-of-the-art AI and ML techniques. Building robust trading, backtesting and research infrastructure alongside our engineers, so promising ideas can move into production quickly and safely Owning models in production: monitoring live performance, diagnosing decay, and iterating on what you ship What we’re looking for A strong academic background in a quantitative discipline (Mathematics, Physics, Statistics, Computer Science, Econometrics, ML/AI, or similar), typically a PhD or an MSc with strong research experience Fluency in Python and the modern ML stack (PyTorch and/or TensorFlow, scikit-learn, NumPy, pandas) A deep, intuit

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're looking for a Commercial Counsel, SPARC (Safety, Policy, and Research Contracts) to join our legal team at the forefront of shaping how cutting-edge AI technology reaches users, researchers, and enterprises worldwide. You'll work alongside experienced colleagues who operate as true strategic partners—moving fast, thinking creatively, and working collaboratively on cutting-edge AI safety and research agreements, including threat-sharing frameworks with leading security organizations and collaborations that shape and advance responsible AI development standards. This is an excellent opportunity for a motivated attorney to develop deep expertise in their commercial transactions career while contributing directly to responsible AI development. Key responsibilities Draft, review, and negotiate commercial agreements, focusing mainly on AI safety and research agreements, as well as product and strategic partnership agreements Partner closely with beneficial deployments, health, policy, and education partnerships teams to support deal velocity and provide practical legal guidance Draft program terms for the phased deployment of AI models with frontier capabilities in cybersecurity and health sciences. Help build and maintain commercial legal infrastructure, including contract templates, playbooks, and process improvements Partner with Policy, Safeguards, and Research teams on novel AI governance initiatives Identify and escalate legal risks appropriately while supporting business momentum Stay current on legal developments affecting AI technologies Minimum qualifications Hold a law degree (JD, LLB, or equivalen

About the Team The Agent Post-Training team creates the frontier agents OpenAI ships to the world. We are training the models behind our agents in Codex, ChatGPT, the API, and other frontier products: persistent, proactive intelligence that can operate computers, collaborate with people and other agents, and expand what people and organizations can imagine, attempt, and achieve. We define what the next generation of agents should be able to do, build the training signal that teaches those abilities, and run the experiments that make them real. Our work spans coding, tool use, computer use, multi-agent coordination, long-horizon execution, factuality, instruction following, calibrated reasoning, and taste. Our team is where new model capabilities get made. We build the data, environments, graders, training methods, and feedback loops that shape what OpenAI's next agents can do, then carry those capabilities through major training runs and into the products people use. About the Role As a member of Agent Post-Training, you will improve the capabilities, reliability, and product fit of OpenAI's agentic models. You might own a research direction, build the infrastructure that makes large training runs faster and more trustworthy, create evals that reveal where models fail, or drive a capability from an idea through experimentation, integration, and launch. This role is intentionally broad. The strongest candidates are not defined by one method or subfield; they are people who can take an ambiguous capability problem and make progress across research, engineering, data, evals, and product. You should be excited to work on models that act in the world: writing and debugging code, using tools, calling functions, operating computers, collaborating with other agents, and completing valuable work on behalf of users. You will work with researchers, engineers, product teams, infrastructure teams, and safety/alignment partners to decide what should go into major model runs, meas

Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the Role This position is part of the Business Systems Product team supporting the CIO organization. The goal of the Business Systems team is to create and deliver meaningful, large-scale technology programs that increase the ROI of Verkada’s business systems and technology and improve the overall value and performance of the organization. We make systems/processes more efficient, reduce manual, low-value work, and enable the company to run better, make better decisions, and ultimately be more profitable. What You'll Do Partner with leaders across: FLOPS (Finance, Legal, Operations, People and Supply Chain) and other key functions to address key business challenges – with a primary focus on systems, data pipelines and infrastructure, and large-scale Security and IT initiatives Implement best-practice solutions, including process

Why join us Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career. AI at Brex AI Engineering at Brex is redefining how businesses run their finances by building intelligent, autonomous systems directly into the Brex platform. Our teams develop AI agents that don’t just surface insights—they take action, optimizing spend, managing workflows, and making real-time decisions on behalf of our customers. By deeply integrating proprietary financial data with product and platform infrastructure, we’re turning complex financial operations into simple, automated experiences and setting a new standard for how modern finance works. What you’ll do As an AI Engineer on our Finance Agents team, you’ll build Brex’s Agent Workbench: our singular conversational surface where finance professionals work with Brex’s agents through documents, charts, spreadsheets, and other interactive surfaces. You’ll help customers understand financial activity, investigate findings, revise policies, and steer agents doing consequential

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Staff Software Engineer within the Security Platform Engineering group, you'll serve as the primary execution anchor for our most critical regulatory and cryptographic initiatives. This team owns Coinbase's Tier-0 Multi-Party Computation (MPC) engine, which secures 99% of assets under custody. You'll lead the development of high-availability services that directly protect customer assets and ensure global regulatory compliance from our Israel office. What you'll do: Lead the architecture and execution of critical cryptographic infrastructure, including services required for global regulatory compliance Define technical strategies with a multi-quarter horizon, bringing clarity to highly ambiguous requirements for novel cryptographic solutions Own risky and ambitious initiatives, implementing secure and resilient cryptographic protocols in a high-stakes, zero-trust environment Shape engineering quality practices as a technical anchor and mentor within a team of senior engineers, driving rigorous code reviews and eliminating single points of failure Build alignment and secure commitment from cross-functional partners across Security, Product, and Policy to drive flawless execution Required Skills and Experience: 8+ years of experience in software engineering with demonstrated success building highly available, distributed systems Deep domain expertise in app

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Senior Software Engineer within the Security Platform Engineering group, you'll serve as the primary execution anchor for our most critical regulatory and cryptographic initiatives. This team owns Coinbase's Tier-0 Multi-Party Computation (MPC) engine, which secures 99% of assets under custody. You'll lead the development of high-availability services that directly protect customer assets and ensure global regulatory compliance from our Israel office. What you'll do: Lead the architecture and execution of critical cryptographic infrastructure, including services required for global regulatory compliance Define technical strategies with a multi-quarter horizon, bringing clarity to highly ambiguous requirements for novel cryptographic solutions Own risky and ambitious initiatives, implementing secure and resilient cryptographic protocols in a high-stakes, zero-trust environment Shape engineering quality practices as a technical anchor and mentor within a team of senior engineers, driving rigorous code reviews and eliminating single points of failure Build alignment and secure commitment from cross-functional partners across Security, Product, and Policy to drive flawless execution Required Skills and Experience: 5+ years of experience in software engineering with demonstrated success building highly available, distributed systems Deep domain expertise in applied c

Why Harvey At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. The Partner Programs Lead builds and scales the infrastructure that powers Harvey's partner ecosystem across technology, consulting, and channel relationships. They sit on the Partnerships Business Development team, translating Harvey's go-to-market priorities into clear, structured programs that partners can execute against. This role ensures Harvey's partner motion is repeatable, measurable, and tightly aligned with customer outcomes as the ecosystem grows. They act as the connective tissue between Partnerships, Sales, Marketing, Product, and Customer Success to keep partners enabled and accountable. It is an opportunity to define the systems, programs, and incentives underpinning a category-defining AI partner ecosystem from the ground up. What You'll Do Design, launch, and conti

Why Harvey At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. The Partner Programs Lead builds and scales the infrastructure that powers Harvey's partner ecosystem across technology, consulting, and channel relationships. They sit on the Partnerships Business Development team, translating Harvey's go-to-market priorities into clear, structured programs that partners can execute against. This role ensures Harvey's partner motion is repeatable, measurable, and tightly aligned with customer outcomes as the ecosystem grows. They act as the connective tissue between Partnerships, Sales, Marketing, Product, and Customer Success to keep partners enabled and accountable. It is an opportunity to define the systems, programs, and incentives underpinning a category-defining AI partner ecosystem from the ground up. What You'll Do Design, launch, and conti

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. Elastic is looking for a Public Sector Partner Manager to build and grow a high-performing ecosystem of Global System Integrators (GSIs) and Influence Partners (IPs) across the UK Public Sector. You will develop strategic partnerships that help government organisations overcome fragmented data, strengthen cyber resilience, modernise operations, and build trusted foundations for AI adoption. Working across Central Government, Defence, Healthcare, Public Safety, Education, and Critical National Infrastructure, you will enable partners to deliver measurable customer outcomes while driving sustainable growth for both Elastic and our ecosystem. Success is measured by the strength of the partner community you build, the capabilities you develop, the customer outcomes you enable, and the long-term value you create. What You'll Do Build and grow strategic GSI and IP partnerships across UK Public Sector. Create executive relationships that drive joint growth and customer success. Develop partner capabilities through enablement, certifications, and solution development. Lead joint go-to-market initiatives with Sales, Solutions Architecture, Services, Marketing, and Customer Success. Drive partner-sourced and partner-influenced pipeline through strategic account planning and pursuit engagement. Foster a culture of collaboration, reuse, and innovation across