Process Integration And Yield Enhancement Engineer Jobs

Band 8a Midwife Sonographer Locum - Derby Position: Sonographer Banding: 8a Location: Derby Days: 2 days a week Start: ASAP Hours: 10 hours Rate: £40.00 - £45.00 per hour Job Description: We are seeking a skilled and dedicated Sonographer to join our team at Derby. As a Sonographer, you will play a crucial role in providing high-quality diagnostic imaging services to our patients. Your primary focus will be on obstetric scans, ensuring accurate and detailed assessments. The duration of this contract will be ongoing. Responsibilities: Include performing obstetric ultrasound scans using state-of-the-art equipment, assessing fetal development, monitoring pregnancies, and detecting any abnormalities. The role involves collaborating with physicians and other healthcare professionals to interpret scan results, maintaining accurate records while ensuring patient confidentiality, and providing compassionate care and excellent communication to patients during the scanning process. Requirements: Relevant qualification in Diagnostic Medical Sonography or equivalent. Experience in abdomen and pelvic scans. Proficiency in using ultrasound machines and associated software. Strong attention to detail and excellent communication skills. Ability to work independently and as part of a team. HCPC registration. 1 year of UK experience as a Sonographer in the NHS and private sector. Why work for Pulse: At Pulse, we believe that great things begin with great people. Working with us is much more than just a job; it’s an opportunity to realise your potential and make a meaningful impact. Our team values collaboration, growth, and excellence, and we strive to create a supportive and rewarding environment for our employees. Join us on this exciting journey and be part of a dynamic team that makes a difference!

Our mission and customers: We are creating the freedom for SMEs to succeed by delivering Europe's leading finance workspace with banking at its core, augmented by financial tools. We are proud to be rated 4.8 on Trustpilot, based on 55,000+ reviews. Our culture puts customer satisfaction at the core of what we do, as proven by our Net Promoter Score of 75 (more about our culture here). Our journey: Founded in 2017 by Alexandre and Steve, Qonto has grown to 1,700 Qontoers serving over 750,000 customers across 8 European countries. We have been profitable since 2023, and we are just getting started. Our beliefs: We hire for skills and potential. With 80+ nationalities, 45% women, of which 56% of women in our leadership team, diversity isn't a program; It's who we are. We've built a discrimination-free hiring process because the best teams are built on merit. AI at Qonto: AI is deeply embedded in how we work (here) - Every Qontoer gets unlimited access to the best AI tools. We want people who experiment without waiting for permission, push AI beyond the obvious, know when to trust it, and when to question it. ------------------------------------------------------------------------------------------------------ Join Qonto's Growth Operations team as an intern and help drive key initiatives to empower growth channels through best-in-class marketing automation, MarTech tools, revenue products, and generative AI. Under Hugo's leadership, you'll enhance operational efficiency by streamlining processes, centralising marketing data, and supporting cross-functional projects crucial to our growth strategy. What you'll do Support Sales, Partnerships, and Customer Success by maintaining clear workflows, reliable data, scalable processes in Salesforce, and gradually learn how information flows across the full Growth stack. Spot recurring blockers, dig into root causes, contribute to lasting solutions, and document everything so the team gets stronger each time a problem is so

Our Strategic Account Executives target and close new business with Datadog’s largest, most strategic customers and prospects. In this role you’ll be focused on uncovering the pain points organizations face as they operate in or migrate to a cloud environment at scale as well as delivering the appropriate Datadog solution. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Prospect into large Fortune 1000 companies while running an efficient sales process Maintain, build and own specific relationship maps for your territory including existing relationships and aspirational contacts Develop a deep comprehension of customer's business Negotiate favorable pricing and business terms with large commercial enterprises by selling value and ROI Handle existing customer expectations while expanding reach and depth into assigned territory Demonstrate resourcefulness when faced with challenges that defy easy solution Have intuitive sense of necessary steps to close business and gain customer validation Identify robust set of business drivers behind all opportunities Ensure high forecasting accuracy and consistency Who You Are: Someone with 5+ years closing experience (mix of field selling within mid-market and enterprise) Driven and have met/exceeded direct sales goals of 1M+ and operated with an average deal size of $100k+ Able to demonstrate methodology to prospect and build pipeline on your own Experienced in working for an innovative tech company (SaaS, IT infrastructure or similar preferred) Experienced in selling into large Fortune 1000 companies with the ability to win new logos Role requires regular travel to client sites, within your area and other regions, using various modes of transportation (car, train, air), depending on business needs Datadog valu

P-926 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer-obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. We're only getting started in Bengaluru, India - and are currently in the process of setting up 10 new teams from scratch ! Our engineering teams build technical products that fulfill real, important needs in the world. We always push the boundaries of data and AI technology, while simultaneously operating with the security and scale that is important to making customers successful on our platform. We develop and operate one of the largest-scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. As a software engineer in the Observability team , you will develop observability solutions that provide insights into the health and performance of our products and infrastructure. The impact you'll have: Establish standards for logging, metrics, and tracing. You will collaborate with different teams to identify metrics that allow engineers to observe how well the system and different subcomponents are performing. You will build tooling and infrastructure to allow components to efficiently emit, aggregate, and store metrics that can be displayed on dashboards and used for alerting. Ensure the scalability

(HYBRID) Capco is a global management and technology consultancy focused on the financial services industry. We are looking for an experienced Talent Acquisition Specialist to join our Talent Acquisition team in Warsaw. As a Talent Acquisition Specialist, you will take ownership of the end-to-end recruitment process for technology and business consulting roles across Capco Poland. From identifying and approaching candidates through interviews, stakeholder management and offer stages, you will be responsible for delivering an effective recruitment process and a positive candidate experience. You will work closely with hiring managers and business stakeholders to understand their hiring needs, advise them on the talent market and develop sourcing and recruitment approaches that help Capco attract the right people for our growing business. What You’ll Do Own the end-to-end recruitment process for technology and business consulting roles, from initial role briefing and sourcing through interviews, offer management and successful hire Proactively source, identify and engage candidates through LinkedIn Recruiter, job boards, referrals, professional networks and other relevant sourcing channels Conduct candidate screening and interviews to assess experience, skills, motivation and alignment with the requirements of the role Partner closely with hiring managers and business stakeholders, providing recruitment guidance, market insights and regular updates throughout the hiring process Manage candidate relationships and the overall candidate experience, ensuring clear communication and effective coordination from initial contact through to offer and onboarding What We’re Looking For Proven experience managing end-to-end recruitment processes, ideally within technology, consulting, financial services or another professional services environment Strong sourcing skills and hands-on experience identifying and directly engaging candidates across different channels Expe

Roles & Responsibilities:- Planning Facilitates roadmap meetings. Ensures the business commit happens with proper coordination across teams and scope is well understood. Derives functional specs and provides a solution Architecture based on PRD. Ensures a proper project plan is available for all major features. Presentation to all Stakeholders. Planning and administering both projects and the overall program. Escalation point for any program. Execution Owns the overall execution plan that is derived from individual team plans. Ensure that teams follow the agreed process and guidelines. Status communication to all stakeholders.(Business & Engineering). Change Management. RISK management. Ensures that deliverables meet the quality standards set. Responsible for all cross team communications. Guides the team on best practices and processes. Maintains the KPI Metrics @ division and Program Level. Closure Lessons Learned are documented and applied in further programs. Contracts are formally closed and conduct necessary meetings to check and communicate that the key tenets of the project are met or not. Transfer of Deliverable s to customer and support functions. Desired Skills and Experience:- 6-8 years of technical program management experience. Deep hands-on technical expertise & systems knowledge. Excellent understanding ofprocessing platforms and queues Must have exposure to leading product development within a high growth environment Ability to lead cross functional teams of developers, designers, DevOps engineers. A proven track record of delivering initiatives from conception through completion on time, within budget and on or beyond scope. Requirement gathering, definition, and documentation experience & manage release schedules Ability to communicate effectively at all levels with executives and technical teams. Ability to handle multiple priorities in a fast-paced environment & deep&nbsp

P-926 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. Databricks Mosaic AI offers a unique data-centric approach to building enterprise-quality, Machine Learning and Generative AI solutions, enabling organizations to securely and cost-effectively own and host ML and Generative AI models, augmented or trained with their enterprise data. And we're only getting started in Bengaluru , India - and currently in the process of setting up 14 new teams from scratch ! As a Senior Software Engineer at Databricks India, you can get to work across : - Backend - DDS (Distributed Data Systems) - Full Stack The impact you'll have: 1. Our Backend teams span many domains across our essential service platforms. For instance, you might work on challenges such as: Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience. Deliver reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store. Build reliable, scalable services, e.g. Scala, Kubernetes, and data pipelines, e.g. Apache Spark™, Databricks, to power the pricing infrastructure that serves millions of cluster-hours per day and develop product features that empower customers to easily view and control platform usage. 2. Ou

Quantitative Researchers are responsible for independently conducting quantitative financial research with a focus on statistical and predictive models. About Cubist Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. Role Quantitative Researchers are responsible for independently conducting quantitative financial research with a focus on statistical and predictive models. Successful researchers manage all aspects of the research process including methodology selection, data collection and analysis, testing, prototyping, backtesting, and performance monitoring. Desirable Candidates M.S., Ph.D., or Ph.D. candidates in finance, computer science, mathematics, physics, or other quantitative discipline. Programming in any of the following: C++, C#, Java, or Python. Strong analytical and quantitative skills. Keen interest in quantitative research and metrics driven decision making. Demonstrated ability to conduct independent research utilizing large data sets. Detail-oriented. Passion for spotting trends in data. Willingness to take ownership of his/her work, working both independently and within a small team. Ability to work under pressure. Prior experience developing, researching, or implementing quantitative models for equities is preferred, but not required. We will provide training for new researchers without finance backgrounds.

ABOUT CUBIST Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. ROLE Our research center in Singapore is seeking an experienced researcher with a strong background in alpha research. In this highly selective role you will have access to abundant research resources and exciting opportunities to discover high quality alpha signals that directly drive our investment decisions. RESPONSIBILITIES Conduct original quantitative alpha signal research Manage all aspects of the research process, including data analysis, alpha signal discovery, backtesting, trading idea generation, alpha signal/portfolio analysis and the management of production code Evaluate new datasets for alpha potential Follow, digest, analyze and improve upon the latest academic research DESIRABLE CANDIDATES 2+ years of research experience in Equities. Ph.D. or M.S. in finance, accounting, economics, mathematics, statistics, physics, computer science, operations research, or another quantitative discipline. Programming in any of the following: R, Python, or C++. Experience with SQL. Demonstrated ability to learn and apply new methodologies to alpha generation. Ability to work both independently and collaboratively within a team. Strong desire to deliver high quality results in a timely fashion. Detail-oriented. Willingness to take ownership of his/her work.

JOB DESCRIPTION Researchers are responsible for applying, adapting, and extending existing results in the broad field of machine learning, while also conducting novel research as required. We are interested in all aspects of ML including: predictive modelling, clustering, time series analysis, natural language processing, and computer vision. Successful researchers manage all aspects of the research process including methodology selection, data collection and analysis, implementation and testing, prototyping, and performance evaluation. Some successful researchers have joined us from similar backgrounds at other firms. Others have joined from related fields or directly from academia and have thrived with hands on guidance from our large team of experienced portfolio managers and researchers. Our most exceptional team members combine strong technical skills and a passion for problem solving with an intense curiosity about financial markets and human behavior. DESIRABLE CANDIDATES Students enrolled in a PhD program in machine learning, computer science, statistics, or a related field. Superb analytical and quantitative skills, along with a healthy streak of creativity. Demonstrated ability to conduct independent research utilizing large data sets. Passion for seeing research through from initial conception to eventual application. Curiosity about financial markets Strong scientific programming in Python, R or Matlab. Empirical, detail-oriented mindset. Sense of ownership of his/her work, working well both independently and within a small collaborative team. We’re looking for exceptional colleagues with unparalleled passion. If you’d like your resume to stand out, tell us about your exceptional personal achievements, even if they have nothing to do with finance. Of course we love to hear more about specific engineering or data projects that you’ve worked outside of school, or as part of your curriculum. If you’re proud of the work you did we want to hear abou

About Cubist Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. Role/Responsibilities: We are seeking a quantitative researcher for the Cubist Machine Learning Research group with experience in machine learning, especially recent deep learning and natural language processing technology. Researchers will use a rigorous scientific method to develop sophisticated trading models and shape our insights into how the markets will behave. Successful researchers manage all aspects of the research process including data ingestion and processing, data analysis, methodology selection, implementation and testing, prototyping, and performance evaluation. Researchers will be introduced to industry standard datasets, including understanding which data may be relevant to a certain model or financial problem; how to collect, parse, and clean the data; how to incorporate the data into innovative functional models; how to construct and develop features from raw data; and how to estimate effectiveness of such features. Researchers will also be provided with the opportunity to implement the full breadth of their knowledge and training to actively participate in all stages of research & development of financial models through use of machine learning. Based on experience from working with existing industry-standard models and algorithms, researchers will learn how to construct their own models in order to solve complex financial problems and enhance data prediction capabilities within the financial services industry. Requirements: PhD or PhD candidate in machine learning, computer science, statistics, or a related field Experience with sequential modeling and time

ABOUT CUBIST Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. JOB DESCRIPTION Researchers are responsible for independently conducting quantitative finance research with a focus on statistical and predictive models. Successful researchers manage all aspects of the research process including methodology selection, data collection and analysis, testing, prototyping, backtesting, and performance monitoring. Some successful researchers have joined us from similar backgrounds at other firms. Others have joined from related fields or directly from academia and have thrived with hands on guidance from our large team of experienced portfolio managers and researchers. Our most exceptional team members combine strong technical skills and a passion for problem solving with an intense curiosity about financial markets and human behavior. DESIRABLE CANDIDATES MS or PhD candidates in finance, computer science, mathematics, physics, or other quantitative discipline 3-7 years of experience in alpha driven quantitative research for equities, futures, fixed income, credit, and/or FX Strong analytical and quantitative skills Demonstrated ability to conduct independent research utilizing large data sets Programming in any of the following: C++, Java, C#, MATLAB, R, Python, or Perl Detail-oriented Willing to take ownership of his/her work, working both independently and within a small team We’re looking for exceptional colleagues with unparalleled passion. If you’d like your resume to stand out, tell us about your exceptional personal achievements, even if they have nothing to do with finance. Of course we love to hear more about specific engineering or data projects that yo

ABOUT CUBIST Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. JOB DESCRIPTION Researchers are responsible for independently conducting quantitative finance research with a focus on statistical and predictive models. Successful researchers manage all aspects of the research process including methodology selection, data collection and analysis, testing, prototyping, backtesting, and performance monitoring. Some successful researchers have joined us from similar backgrounds at other firms. Others have joined from related fields or directly from academia and have thrived with hands on guidance from our large team of experienced portfolio managers and researchers. Our most exceptional team members combine strong technical skills and a passion for problem solving with an intense curiosity about financial markets and human behavior. DESIRABLE CANDIDATES MS or PhD candidates in finance, computer science, mathematics, physics, or other quantitative discipline 3-7 years of experience in alpha driven quantitative research for equities, futures, fixed income, credit, and/or FX Strong analytical and quantitative skills Demonstrated ability to conduct independent research utilizing large data sets Programming in any of the following: C++, Java, C#, MATLAB, R, Python, or Perl Detail-oriented Willing to take ownership of his/her work, working both independently and within a small team We’re looking for exceptional colleagues with unparalleled passion. If you’d like your resume to stand out, tell us about your exceptional personal achievements, even if they have nothing to do with finance. Of course we love to hear more about specific engineering or data projects that yo

ABOUT CUBIST Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. ROLE Entry-Level Quantitative Researchers are responsible for conducting rigorous quantitative research with a focus on predictive models. You will be trained in all aspects of systematic trading from idea generation all the way to practical trading considerations. Successful hires will ultimately become thought leaders within our collaborative research group. RESPONSIBILITIES Conduct original quantitative alpha signal research Follow, digest and analyze the latest academic research Manage all aspects of the research process, including idea generation, data analysis, hypothesis development and testing, alpha discovery, trading strategy generation, backtesting and portfolio analysis Build analytical tools to supplement our shared research framework REQUIRMENTS B.S., M.S. or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative discipline. Programming in Python (or comparable language) and working knowledge of SQL Strong analytical and quantitative skills. Willingness to take ownership of his/her work. Ability to work both independently and collaboratively within a team. Strong desire to deliver high quality results in a timely fashion. Detail-oriented. Prior experience in the financial services industry is not required. A commitment to the highest ethical standards.

ABOUT CUBIST Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. ROLE Entry-Level Quantitative Researchers are responsible for conducting rigorous quantitative research with a focus on predictive models. You will be trained in all aspects of systematic trading from idea generation all the way to practical trading considerations. Successful hires will ultimately become thought leaders within our collaborative research group. RESPONSIBILITIES Conduct original quantitative alpha signal research Follow, digest and analyze the latest academic research Manage all aspects of the research process, including idea generation, data analysis, hypothesis development and testing, alpha discovery, trading strategy generation, backtesting and portfolio analysis Build analytical tools to supplement our shared research framework REQUIRMENTS B.S., M.S. or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative discipline. Programming in Python (or comparable language) and working knowledge of SQL Strong analytical and quantitative skills. Willingness to take ownership of his/her work. Ability to work both independently and collaboratively within a team. Strong desire to deliver high quality results in a timely fashion. Detail-oriented. Prior experience in the financial services industry is not required. A commitment to the highest ethical standards.