Production Line Management Engineer Jobs

Principal Data Engineer – AWS Location: London (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent Engineer future-ready data platforms that power financial transformation. The Role We’re looking for a Principal Data Engineer with AWS to join our growing team of engineering experts driving next -generation transformation for Tier 1 financial services clients. You’ll play a pivotal role in designing, building, and deploying cloud-based data pipelines that enable trusted, scalable data platforms. Working across greenfield initiatives and enterprise-scale programmes, your work will directly influence how data is ingested, transformed, and consumed across the financial services industry. You'll also embrace AI-enabled ways of working, using approved AI and automation tools where appropriate to enhance productivity, improve delivery quality, and accelerate engineering outcomes while applying sound engineering judgement and responsible AI practices. What You’ll Do Design and build end-to-end data pipelines using AWS -native services and modern cloud data architectures, ensuring scalable, secure, and resilient solutions. Partner with clients and cross-functional teams to understand business requirements, define technical solutions, and deliver production-grade data platforms. Apply AWS Well-Architected Principles, engineering best practices, CI/CD, and AI-enabled development approaches to improve quality, efficiency, and operational excellence. Lead the development of robust, tested, fault-tolerant data engineering solutions while promoting responsible engineering standards and governance. Mentor engineers, share technical expertise, and encourage the effective and responsible use of approved AI tools and automation to enhance collaboration and delivery. What We’re Looking For Strong proficiency in Python , Scala , or Java , with hands-on experience of Big Data technologies including Spark , Hadoop , or similar distributed processing frameworks. Experi

Senior Azure Data Engineer ( Databricks ) Location: London (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent Engineer advanced data solutions at scale in a world-class consulting environment. The Role As a Senior Azure Data Engineer ( Databricks ) at Capco, you will play a hands-on role in designing, building, and deploying scalable and secure data engineering pipelines using the Databricks platform on Azure . You'll partner with clients to understand their data needs and develop innovative solutions that drive business transformation. You'll also contribute to engineering best practices and continuous improvement across cross-functional teams. Databricks platform on Azure . You'll embrace AI-enabled ways of working, using approved AI and automation tools where appropriate to improve engineering productivity, accelerate delivery, and enhance solution quality while applying sound engineering judgement and responsible AI practices. What You'll Do Design and develop robust data pipelines using Delta Lake, Spark Structured Streaming, Unity Catalog, and Azure -native services. Build real-time, event-driven solutions using technologies such as Kafka and Azure Event Hubs, applying AI-enabled engineering approaches where appropriate to improve delivery efficiency. Develop and maintain CI/CD pipelines using Azure DevOps, Jenkins, GitHub Actions, and modern DevOps practices to support reliable deployments. Collaborate with clients and multidisciplinary teams to translate business requirements into scalable, production-ready data solutions. Champion clean code, data lifecycle optimisation, engineering best practices, and the responsible use of approved AI tools and automation to improve collaboration and delivery. What We're Looking For Proven hands-on experience with the Databricks platform, including orchestration and enterprise-scale Azure data engineering solutions. Strong technical skills in Python , PySpark , and SQL, with experience wor

Capco, a Wipro company, is a global technology and management consultancy specializing in driving digital transformation in the financial services industry. With a growing client portfolio comprising of over 100 global organizations, Capco operates at the intersection of business and technology by combining innovative thinking with unrivalled industry knowledge to deliver end-to-end data-driven solutions and fast-track digital initiatives for banking and payments, capital markets, wealth and asset management, insurance, and the energy sector. Capco’s cutting-edge ingenuity is brought to life through its Innovation Labs and award-winning Be Yourself At Work culture and diverse talent. Role Summary As a Data Architect , you will lead the architecture and data design work, working closely with Data Engineers, Business Analysts, BI teams, and client technology and business stakeholder in the Data Lake/Lakehouse implementation project. What You’ll Do Designing the target Lakehouse architecture and end-to-end data flows. Defining data models, canonical structures and reusable data-product patterns . Designing scalable and reusable batch, CDC and streaming ingestion patterns . Establishing data architecture standards covering data quality, reconciliation, lineage, governance, security and access . Assessing and aligning the solution with existing enterprise and regional architecture standards. Supporting source-to-target mapping, data migration and integration design. Providing technical leadership and guidance to Data Engineering teams throughout implementation. Supporting solution design reviews, testing, production readiness and BAU handover. What We’re Looking For 6+ years of experience in data architecture, data engineering, or related roles. Strong expertise in Azure, Databricks, Delta Lake, data modelling, data architecture, data integration/ETL, data governance and cloud architecture. Experience designing enterprise data platforms and data products, particula

Capco, a Wipro company, is a global technology and management consultancy specializing in driving digital transformation in the financial services industry. With a growing client portfolio comprising of over 100 global organizations, Capco operates at the intersection of business and technology by combining innovative thinking with unrivalled industry knowledge to deliver end-to-end data-driven solutions and fast-track digital initiatives for banking and payments, capital markets, wealth and asset management, insurance, and the energy sector. Capco’s cutting-edge ingenuity is brought to life through its Innovation Labs and award-winning Be Yourself At Work culture and diverse talent. Role Summary We are seeking an experienced Data Engineer to design, build, and maintain scalable data pipelines and infrastructure that support analytics, AI/ML, and business intelligence use cases for BankX's digital banking platform. What You’ll Do Design, develop, and maintain scalable data pipelines for batch and real-time data processing. Build and optimize data ingestion, transformation, and loading (ETL/ELT) workflows. Work with Azure Data Services, Databricks, and Delta Lake to implement Lakehouse architecture. Ensure data quality, reliability, and availability across all data products. Collaborate with Data Architects to implement data models and architecture standards. Support data governance, metadata management, and lineage tracking. Ensure pipelines comply with PDPA, data classification, and security requirements. Monitor pipeline performance and troubleshoot data issues in production environments. Work closely with Data Scientists and Analysts to deliver model-ready datasets. Participate in code reviews and promote engineering best practices. What We’re Looking For 5+ years of experience in data engineering or related roles. Strong proficiency in SQL and Python for data transformation and processing. Hands-on experience with Azure Data Services, Databricks, and D

Senior Data Engineer – AWS Location: London (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent Engineer future-ready data platforms that power financial transformation. The Role We’re looking for a Senior Data Engineer with AWS to join our growing team of engineering experts driving next -generation transformation for Tier 1 financial services clients. You’ll play a pivotal role in designing, building, and deploying cloud-based data pipelines. Working across greenfield projects and enterprise-scale platforms, your work will directly impact how data is ingested, transformed, and served at scale across the financial services industry. You'll also embrace AI-enabled ways of working, using approved AI and automation tools where appropriate to improve engineering productivity, accelerate delivery, and enhance solution quality while applying sound engineering judgement and responsible AI practices. What You’ll Do Design and build end-to-end data pipelines leveraging AWS -native services and modern data architectures. Collaborate with clients to gather requirements, define technical solutions, and deliver production-grade systems that meet business needs. Apply AWS Well-Architected Principles, CI/CD practices, and AI-enabled engineering approaches to deliver scalable, secure, resilient, and high-quality solutions. Develop robust, tested, and fault-tolerant data engineering solutions while promoting engineering best practices and data governance. Mentor junior engineers, contribute to knowledge sharing, and encourage the responsible use of approved AI tools and automation to improve collaboration and delivery. What We’re Looking For Strong proficiency in Python , Scala , or Java with hands-on experience in Big Data technologies including Spark , Hadoop , or similar distributed processing frameworks. Practical experience building real-time event streaming pipelines using technologies such as Kafka , Spark Streaming, or Amazon Kinesis within AWS en

Data Scientist Lead Location: Hong Kong (Hybrid) | Practice Area : Data & Analytics | Type: Permanent The Role As a Data Scientist Lead at Capco, you’ll help clients optimise fraud models, machine learning platforms and supporting Google Cloud infrastructure, turning detailed analysis into practical, implementation-ready recommendations. You’ll take a hands-on approach to improving model and platform performance, reliability and run-cost across GCP infrastructure and ML pipelines. Working closely with IT infrastructure teams, data scientists and fraud stakeholders, you’ll identify opportunities to reduce compute and inference costs while maintaining effective, resilient solutions. You’ll provide configuration-level and code-level guidance, supported by clear estimates of implementation effort, expected savings and measurable outcomes. You’ll also use approved AI tools and AI-enabled workflows where appropriate to accelerate analysis, improve insight and support delivery, while maintaining human judgement, appropriate review and responsible AI guardrails. What You’ll Do GCP engineering: Lead hands-on design, diagnostics and optimisation across compute, storage and network services, implementing monitoring and observability to improve cost, performance and reliability. Fraud ML modelling: Support the development, validation and deployment of fraud and ML models end-to-end, identifying measurable opportunities to reduce compute requirements, accelerate inference and improve automation. ML and data pipelines: Optimise pipelines spanning ingest, transformation, feature creation and serving, training and inference, with a focus on cost efficiency, performance, resilience and responsible AI-enabled automation where appropriate. Big data and distributed processing: Develop and tune large-scale batch and streaming workloads using Spark or similar technologies, improving efficiency, stability and production readiness. Engineering excellence: Apply strong Python and SQL sk

Opportunity Get Well (GW RhythmX) is seeking a highly experienced and innovative Staff AI Engineer to lead the architecture, development, and optimization of cutting-edge AI solutions across the organization’s healthcare platform. This role requires deep technical expertise in large language models (LLMs), multimodal AI systems, agentic frameworks, and voice technologies—including STT (speech-to-text) and TTS (text-to-speech). As a Staff-level technical leader, you will guide the AI engineering lifecycle from conceptualization to deployment at scale while serving as a key cross-functional partner to product, engineering, and clinical teams. This is a high-impact, hands-on role for a forward-thinking AI expert with a strong understanding of emerging agentic systems and best practices in safety, observability, and machine learning operations in regulated environments. Responsibilities Healthcare-Focused AI System Design & Development Architect and develop production-ready AI models trained on real-world clinical datasets sourced from hospital systems, EHRs, and patient engagement platforms. Partner with clinical informatics and product teams to derive insights from structured and unstructured health data, including FHIR, HL7, CCDA, and EHR notes. Design and train speech-to-text (STT) and text-to-speech (TTS) models to power voice-enabled AI applications and virtual assistants in a healthcare setting. Integrate and optimize agentic systems using frameworks such as LangChain, LangGraph, or CrewAI for autonomous decision-making and workflow automation. Drive the end-to-end development lifecycle—from data prep and model training to evaluation, deployment, and monitoring—ensuring responsiveness and efficiency in high-impact healthcare settings. Evaluate and incorporate emerging AI technologies and architectural tools to improve intelligence, personalization, and user experience. Infrastructure Optimization & MLOps Lead the model lifecycle from ingestion and p

Kincellis Advanced Therapies is a U.S.-based contract development and manufacturing organization supporting advanced-therapy developers from early-stage CMC, process and analytical development through clinical supply, pivotal-stage programs and commercial supply. With facilities in Gainesville, Florida; Research Triangle Park, North Carolina; and The Woodlands, Texas, Kincellis combines broad technical expertise with flexible, scalable GMP infrastructure across autologous and allogeneic therapies, including but not limited to CAR-T, Tregs, CAR-NK, MSCs, dendritic cell vaccines, exosomes, iPSCs & synthetic mRNA. For more information, visit our website at www.kincellis.com. The Senior Quality Assurance Associate supports the day-to-day early phase cell and gene therapy clinical GMP manufacturing operations via execution of all operational elements of the Quality Management System (QMS), including but not limited to the EDMS (electronic document management system) and training management system in support of gene and cell therapy manufacturing production. They will collaborate cross-functionally with Manufacturing, Supply Chain, Facilities, and the Laboratories to ensure cGMP compliance and establish a quality culture. This is a unique opportunity to help build and grow the Quality Assurance organization in a dynamic new environment. Experience with administrative access using Veeva as a document control and training management system preferred. Essential Duties and Responsibilities Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of this position. This list contains the major duties and requirements of the job and is not all-inclusive. Incumbent(s) may be expected to perform role-related duties other than those contained in this document. Essential Duties and Responsibilities Assist in executing QA responsibilities to support material and product release. Work with Quality team mem

For more than 30 years, SonicWall has delivered a partner-first unified cybersecurity portfolio that helps SMBs, MSPs, and IT teams consolidate network security, endpoint security, security service edge (SSE), and threat response across hybrid environments. By bringing connected technology, real-time threat intelligence, automation, and expert services together, SonicWall helps organizations simplify security operations, achieve better security outcomes, and lower total cost of ownership. Backed by a global ecosystem of more than 17,000 partners, SonicWall delivers enterprise-grade protection built for SMB and mid-market realities. For more information, visit www.sonicwall.com or follow us on X, LinkedIn , Facebook , and Instagram . Roles & Responsibilities Design, deploy, and manage AWS cloud infrastructure and Kubernetes (EKS) environments. Build, maintain, and optimize GitLab CI/CD pipelines for automated deployments. Implement DevSecOps best practices, including infrastructure security, vulnerability management, and compliance controls. Monitor, troubleshoot, and improve platform reliability, performance, and scalability. Deploy and manage cloud-native applications, databases, and supporting services. Collaborate with development teams on architecture, deployment strategies, and production readiness. Drive infrastructure automation using Infrastructure as Code (Terraform). Support incident management, root cause analysis, and operational excellence initiatives. Mandatory Requirements 6+ years of hands-on DevOps/DevSecOps experience in production environments. Strong expertise with AWS services including EKS, EC2, S3, CloudFront, WAF, Lambda, and VPC. Minimum 3+ years of Kubernetes experience, preferably Amazon EKS. Hands-on experience building and managing GitLab CI/CD pipelines. Strong Linux administration and troubleshooting skills. Experience with Infrastructure as Code using Terraform. Proficiency in Python for automation and scriptin

Spaulding Ridge is an advisory and IT implementation firm. We help global organizations get financial clarity into the complex, daily sales, and operational decisions that impact profitable revenue generations, efficient operational performance, and reliable financial management. At Spaulding Ridge, we believe all business is personal. Core to our values is our relationships with our clients, our business partners, our team, and the global community. Our employees dedicate their time to helping our clients transform their business, from strategy through implementation and business transformation. What You Will Do and Learn We are looking for an Anaplan Consultant to join our Anaplan Delivery Team! As an Anaplan Consultant , you will help some of the world’s most well-known organizations solve business challenges through Enterprise Performance Management. With the opportunity to build your Anaplan expertise by obtaining recognized certifications, you will implement Anaplan as a ‘Best in Cloud’ solution for Finance, Supply Chain and Sales. Ideal candidates will be able to: Interact directly with clients to extract their needs Analyze customer needs, design, configure, and test customer solutions Resolve technical issues through debugging, research, and investigation Assist with production support issues as required Maintain effective working relationships with team members Mentor Analysts with domain knowledge and configuration questions Assist with configuration reviews to provide useful feedback Contribute to project and team documentation Deliver Anaplan training to our clients Stay current with latest Anaplan technologies and best practices within the industry Qualifications: 1-5 years of experience in Consulting or Financial Reporting and Analysis Strong knowledge of Excel. Including an understanding of how to develop macros, and model large data sets utilizing Lookups and SumIf functions Microsoft Office Suite expertise Strong understandin

CAPCO POLAND *We are looking for Poland based candidate. At Capco Poland, we’re not just another consultancy - we’re the spark behind digital transformation in the financial world. As a global leader in technology and management consulting, we thrive on helping clients tackle the toughest challenges across banking, payments, capital markets, wealth, and asset management. Role Overview We are looking for an experienced Senior DevOps Engineer to provide specialist DevOps services focused on designing, implementing, and enhancing cloud-based infrastructure and CI/CD solutions on Microsoft Azure. The ideal candidate should have strong hands-on experience in Azure services, Infrastructure as Code (IaC), automation, containerization, and monitoring tools to enable scalable, secure, and reliable application deployments. Scope of Services Design, implement, and manage cloud infrastructure on Microsoft Azure. Build, maintain, and optimize CI/CD pipelines using Azure DevOps. Automate infrastructure provisioning using Terraform, ARM Templates, or Bicep. Manage containerized applications using Docker and Kubernetes (AKS). Implement infrastructure monitoring, logging, and alerting solutions. Ensure security, compliance, and governance practices across Azure environments. Collaborate with development, QA, and operations teams to streamline deployment processes. Troubleshoot production issues and perform root cause analysis. Implement backup, disaster recovery, and high-availability solutions. Optimize infrastructure performance, scalability, and cost. Required Skills 7+ years of overall IT experience with strong DevOps expertise. Hands-on experience with Microsoft Azure services Strong experience with Azure DevOps (Repos, Pipelines, Boards, Artifacts). Expertise in CI/CD pipeline development and automation . Experience with Terraform, ARM Templates, or Bicep . Strong scripting skills in PowerShell, Bash, or Python . Experience with Docker and Kuberne

Research Engineer, Applied AI Location: Germany About EnCharge AI: EnCharge AI is building the next generation AI platform. Our novel in-memory-computing architecture delivers a 10x step-function improvement in compute energy efficiency and performance for AI inference workloads. As the demands of artificial intelligence move beyond today's models, we believe fundamental underlying infrastructure must evolve. We are an experienced team of AI researchers, silicon & systems engineers, and architects backed by leading investors, poised to become the essential platform for the next wave of AI innovation. The Opportunity: Modern AI workloads—from large language models to diffusion-based generators to multimodal systems—represent some of the most compute-intensive frontiers in AI, and some of the most promising applications for our hardware’s energy efficiency advantages. We’re building a vertically integrated AI stack that will showcase the transformative potential of our silicon while delivering real value to customers today. We are seeking a Research Engineer to push the boundaries of AI model capability, quality, and efficiency. You’ll build fine-tuning and post training pipelines, develop rigorous benchmarking frameworks, and work at the intersection of ML research and hardware-aware optimization—ensuring our models run beautifully on our silicon. This is a role for someone who thrives at the boundary between research and engineering. You’ll read papers, implement techniques, and ship production-quality code—all in service of making AI inference faster, cheaper, and better. Key Responsibilities: Algorithmic Acceleration: Research and implement state-of-the-art techniques to accelerate AI inference—quantization, sparsity, distillation, speculative decoding, caching strategies, and

About the Team DoorDash Labs is an independent team within DoorDash. We are working on building autonomous delivery robots from the ground up and other automation solutions as part of DoorDash's core delivery platform. If you have a passion for applying AI and robotics solutions in a service used by millions of people, then we want to talk to you! Please Note: This role is based in San Francisco, CA, and requires being in-person 5 days a week. About the Role We are seeking a master-level Prototype Machinist & Fabrication Specialist to join the Prototype Integration (PI) Team. This is a high-impact role designed for a "maker" with a deep technical pedigree in both traditional and cutting-edge manufacturing. You will be the primary resource for the engineering team, responsible for transforming complex designs into high-precision physical hardware. You are an expert in 5-axis CNC machining, CNC lathes, and manual machining, as well as a power user of a diverse 3D printing fleet. When not machining, you will serve as a Prototype and Integration Technician, helping the team assemble and troubleshoot the robotic platforms you helped create. You’re excited about this opportunity because you will… Operate and program 5-axis CNC machines, CNC lathes, and manual mills/lathes to produce high-tolerance prototype components. Oversee the daily operation, post-processing, and maintenance of 3D printing technologies including FDM, SLS, and SLA platforms. Design and fabricate custom jigs, fixtures, and specialized tooling to support complex assemblies and unique testing requirements. Interpret engineering drawings, blueprints, and CAD models to ensure all builds meet exact specifications. Provide feedback to Mechanical Engineers on Design for Manufacturability (DFM) to optimize part production. Perform preventative maintenance on all shop machinery and shop-specific equipment to ensure zero downtime. Manage inventory for machinist-specific consumables including cutting to

Opportunity Overview: The RN Reviewer position is a crucial role in our organization — in this role you are responsible for performing a full range of activities that will positively impact the organization and contribute to guiding the strategic operations for the company. As an RN Reviewer, you will perform prospective review (prior authorization) admission, concurrent, and retrospective reviews according to established criteria and protocols to determine the medical appropriateness of the clinical requests from providers. You will work closely with Medical Directors and other Cohere Health staff to ensure appropriate cost-effective care by applying your clinical knowledge and critical thinking skills to assess the medical necessity of inpatient admissions, outpatient services and procedures, and provider out of network requests. You will be required to review Commercial, Medicare, and Medicaid lines of business. You will need to be an agile and comprehensive thinker and planner and be able to work in an environment that is in flux. This position offers the ability to make a substantive mark in simplifying the way healthcare is delivered and contributes to an up and coming company with exponential growth opportunity. What you'll do: Review medical necessity for inpatient, concurrent, prior auth, and retrospective cases to ensure appropriate, high-quality care Collaborate with Medical Directors and providers to align on clinical decisions Document reviews accurately and meet production/quality goals Apply MCG, Cohere, and coverage guidelines to ensure compliance and consistency Partner across teams (Operations, Product, Quality, Health Plans) to improve processes and outcomes Identify opportunities for care management or quality improvement programs Support accreditation, regulatory, and quality initiatives What you'll need: Strong communication and collaboration skills across remote teams Customer-focused mindset and ability to stay calm under pressure

Opportunity Overview: We are seeking a Staff Software Engineer to join our Engineering department. In this role, you will direct a fast-paced, collaborative, agile team of software engineers in the design, development, and scaling of highly available AI healthcare products on the Cohere platform. You'll set the technical direction for how the platform evolves — owning architecture and design decisions that span multiple teams and outlive any single release. This is an opportunity to drive technical excellence, define customer-configurability capabilities, and establish patterns other teams build on at the intersection of healthcare interoperability and modern distributed systems. This is a remote-first role that may require travel to Boston, MA for new hire onboarding and occasional in-person team meetings and company events. What you’ll do: Technical Leadership: Provide technical leadership across architecture, system design, and mentor junior engineers for building scalable SaaS products. Platform Ownership: Lead the development and enhancement of Cohere’s AI-powered applications and platforms, ensuring that it is highly configurable, and optimized for performance. Data & Retrieval Architecture: Design data and retrieval architectures that give AI agents the right context, across diverse healthcare sources. Hands-On Engineering: Design, review, and own high-quality production code — actively contributing alongside the team, leading releases, production deployments, reducing developer development friction and on-call support. NFR, Security & Compliance: Drive technical strategy to ensure the team's designs consistently address non-functional requirements — observability, instrumentation, performance, and operational readiness that incorporate security and privacy regulations Cross-Functional Collaboration: Work closely with ML/DS teams, product teams, and architects to understand requirements and ensure systems meet business needs. A