1,451 to 1,475 of 1,726 Machine Learning Jobs in England

systems for text, image, speech, and video applications. Own end‐to‐end delivery, performance, and continuous improvement of LLM Suite products. Working closely with ML Engineering, Product Management, and Cloud Engineering, you will ensure our AI solutions are reliable, secure, and built for real business impact. Bridge advanced AI research … Skills Hold a PhD or possess equivalent experience in Computer Science, Mathematics, Statistics, or a related quantitative discipline. Demonstrate extensive hands‐on experience in ML engineering, with a proven track record of shipping production AI systems. Bring deep expertise in NLP, Computer Vision, and/or Multimodal LLM algorithms, with ...

bodies, and the broader Adecco Group technology ecosystem. About you 15-20 years in enterprise technology leadership roles, with deep experience in: AI/ML platforms, enterprise architecture, cloud-native design Emerging technology evaluation & adoption Scalable platform design and global solution integration Proven experience leading technical architecture for complex, multi … country digital platforms. Demonstrated ability to evaluate, implement, and govern AI solutions in an enterprise environment. Strong technical fluency (AI/ML frameworks, data architecture, APIs/integration, modern engineering practices). Exceptional communication and executive stakeholder management skills. Preferred Background in HR Tech, talent, consulting, or professional services. Experience ...

Engineer for their expanding Data & AI practice. They are looking for someone who can take AI from prototype to production, building and operationalising ML and GenAI systems that land real business impact for enterprise clients across the public and private sectors. What the role involves: Designing and delivering full …/ML pipelines — from data prep and model development through to deployment, monitoring, and feature stores Architecting GenAI solutions: RAG pipelines, agentic workflows, LLM orchestration across Azure, GCP, or AWS Building with the latest agentic frameworks (LangChain, LlamaIndex, CrewAI, AutoGen, Google ADK and more) Embedding MLOps best practices, governance ...

have been the person others look to for the hard calls. Experience delivering data products that serve diverse consumers — analytics, APIs, AI/ML systems — with different latency, quality, and access requirements. Background in financial services, insurance, or broking is a plus but not required. Technical Skills Deep expertise … Databricks, including Unity Catalog, Delta Lake, Delta Sharing, and the full Databricks data engineering and ML stack. Strong command of DBT for modular, testable, and well-documented data transformation; a clear point of view on semantic modeling and metric layer design. Fluency in Python and SQL; comfort with Spark ...

Bachelor's degree in computer science or a related discipline, or equivalent work experience required; advanced degree preferred Strong hands-on experience with Python, ML frameworks, and LLM/GenAI tooling. Strong hands-on experience with AI Development tools like Claude CLI, Windsurf Solid understanding of the ML lifecycle; exposure ...

multinational organisations Familiarity with the design of operating models and organisational structures for data and AI functions Familiarity and understanding of AI/ML technologies, including generative AI, predictive analytics, NLP, data and Intelligent Automation Familiarity with AI governance frameworks, model risk management, and regulatory requirements Soft Skills Communication, storytelling … workshop design capabilities including ability to influence senior stakeholders Experience of interacting and collaborating with multi-disciplinary teams (data scientists, engineers, business strategists) Continuous learning mindset to stay ahead of rapidly evolving AI landscape and strategies for deployment Strategic thinking with ability to translate complex technical concepts into business ...

roles within energy trading, financial services, or commodity markets Deep understanding of trading systems, market data, and risk platforms Solid exposure to AI/ML deployment, data engineering, and cloud transformation Experience with regulatory compliance and cybersecurity in trading environments Master’s degree in Computer Science, Engineering, or a related … shape the technological future of a global energy leader Exposure to cutting-edge technologies and innovative projects Collaborative and diverse work environment Continuous learning and development opportunities Flexible working arrangements to support work-life balance Comprehensive health and wellness benefits Pension scheme and employee share ownership programs Opportunity ...

llama, gpt etc. and OCR: textract, tesseract etc. Strong understanding of the use of neural networks, embeddings, transformers etc. Cloud platforms (AWS SageMaker, Azure ML; etc) Orchestration tools (e.g. Prefect; etc) Agentic toolkits (LangChain, LlamaIndex, AutoGen, Google Agentic Framework) Experience in productionizing AI applications. Strong programming skills in python … Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive ...

rapid productisation, and clear business accountability. Applied AI Delivery Oversee the design and delivery of production AI systems – agentic workflows, LLM‐powered co‐pilots, ML inference pipelines, embedded into live front‐office operations. Ensure solutions integrate seamlessly with core systems and existing architectures. Drive the transition from proof‐of‐concept … scalable, enterprise‐grade deployment with measurable adoption and impact. Data & Platform Strategy Own the Applied AI platform strategy, including real‐time data pipelines, ML feature stores, model registries, and agentic runtime and control plane infrastructure. Partner with relevant teams and stakeholders to ensure a coherent, governed AI foundation. Governance, Risk ...

client pitch contribution, client hosting at events. Internal Contribution – Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & Development – Training to support your career development and the skills demand within the company, certifications etc. Your Profile You’ll thrive in this role … automation, such as: RPA development (e.g., UiPath, Blue Prism, Automation Anywhere, NICE, ServiceNow, Power Platform) IDP (Intelligent Document Processing) (e.g., Hyperscience, ABBYY, Kofax) NLP, ML, or AI‐enabled automation (e.g., Spacy, Azure Cognitive Services) Low‐code platforms (e.g., Appian, Power Platform, Pega, Dynamics 365) Workflow orchestration Exposure to Agentic ...

multiple countries committed to serving patients worldwide. Please visit www.jazzpharmaceuticals.com for more information. Essential Functions • Support the development and implementation of AI/ML/GenAI solutions to optimize clinical trial operations, including such areas as patient recruitment, patient retention, real-time data monitoring and automated data collection system build. … regulatory requirements and data privacy standards. Required Knowledge, Skills and Abilities • Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow). • Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. • Knowledge/experience with digital healthcare tools design and development ...

Essential: Proven experience as a Product Manager for data-driven enterprise products. Strong understanding of data architecture, analytics, and governance. Experience integrating AI/ML models, LLMs, or agent-based systems into commercial products. Familiarity with Model Context Protocol (MCP) or similar AI orchestration frameworks. Ability to translate complex technology … Proficiency in Agile methodologies and tools (Jira, Confluence). Desirable: Knowledge of cloud data technologies (SQL, NoSQL, data lakes). Experience with AI/ML frameworks and orchestration tools. Background in financial services or other regulated industries. Understanding of data processing and reconciliation solutions. What’s on Offer Competitive salary ...

performance cloud workflows. Raising engineering standards – introducing Git, CI/CD pipelines, automated testing and best-practice engineering processes. Preparing data for AI and ML – designing resilient architectures that ensure high-quality, accessible data for future AI initiatives. What You Will Need In The Role Of Data Engineer 3–5+ … Python for automation Solid understanding of star schemas and Kimball methodologies Experience supporting advanced Power BI models (DAX and Power Query) Exposure to ML/AI concepts (e.g. scikit-learn, TensorFlow) or an interest in preparing data for LLMs, RAG architectures or predictive models Experience with Docker and/ ...

advancements in AI, cloud-native architectures, data governance/security best practices, and how Alteryx integrates with modern cloud data warehouses and AI/ML workflows* Remain up to date on Alteryx solutions and features, competitive products, and emerging technologies while maintaining familiarity and adherence to all company methods … Python, R, Apache Spark or similar product or language are also a plus.* Strong knowledge of data analytics, data science, ETL processes, AI/ML workflows, automation, and model deployment within cloud environments. Proficiency in using Alteryx or similar data analytics tools is highly desirable.* Experience setting up data connectivity ...

We're hiring AI Engineers and Technical AI Leaders in Manchester A leading consulting and technology firm is growing its AI capability across financial services and they're looking for engineers who build things that ...

Innovate UK grants and partnerships across leading research and innovation organisations. Our lab is at Plus X Innovation Hub, Brighton. The role As our ML engineer, you'd own our cloud ML infrastructure, building it out closely with the CTO, who leads the technical direction. You'd work alongside … full-stack engineer to get ML capabilities into the product, and with the materials scientists running the experiments your models train on. In practice: Stand up and run our production ML stack on GCP. Design and automate the pipelines that move experimental data out of the lab and into training. ...

looking for exceptional Software Engineers to join a scaleup Medical AI firm aiming to do wonders for the healthcare sector using novel ML techniques. With big investment and data tie-ins secured, an already-large valuation and top talent on board, this one is not to be missed … engineering and frontier AI research, building systems that directly enable breakthroughs in drug development and patient care. You'll be working alongside world-class ML researchers, designing and implementing the tools, APIs, and platforms they need to train, evaluate, and deploy models at unprecedented scale. This isn't about maintaining ...

physical robot hardware Mentor junior researchers and engineers, and publish at top-tier venues What We're Looking For Essential: PhD/MSc in ML, Robotics, CS, or related field with 4+ years of equivalent industry research experience Demonstrated expertise training and deploying learned manipulation policies on real robots Strong … tier venues — conference attendance and open-source contributions are actively supported What's On Offer Join a team with world class applied research scientists, ML engineers, and robotics software engineers A mature platform that ships to physical hardware, not slides Active support for conference attendance and open-source contributions Competitive ...

experience. Essential Requirements You will have a PhD in a relevant discipline and circa 10+ years of demonstrable experience in an AI/ML role in industry or academia, preferably in the Defence sector. You will have experience of previously leading R&D teams. You will have experience of previously … Assurance activities. Proposal writing experience is essential. Of particular interest are candidates with experience in one or more of the following domains: AI/ML for imagery including applied to remote sensing applications. Reinforcement learning. Natural Language Processing. Large Language Models. Knowledge graphs and graph-based neural nets. AI/ ...

scalable, robust services in production environments, not just prototypes.* Hands-on experience working with Large Language Models (LLMs), Generative AI and modern AI/ML frameworks; current on the AI tooling landscape and able to keep up as it evolves.* Expertise in Python in AI/ML frameworks and libraries. … Demonstrated ability to understand and engage with a complex business domain — capable of sitting with non-technical professionals, learning how they work, and translating that understanding into production tools. Prior exposure to financial markets, broking, trading or other front-office environments is a strong plus.* Experience managing technical priorities ...

fast, and motivated to turn new technology into practical enterprise value. What You’ll Help Build Technology Radar: Support horizon scanning across AI/ML, quantum, blockchain, knowledge graphs, AR/VR, and more. Help track signals, summarize trends, and contribute to written assessments and internal updates. Hot-Takes/… problem statements Qualifications 2–5 years experience in technology, engineering, data, or applied research roles (or equivalent experience) Hands-on exposure to AI/ML concepts and modern developer tooling; familiarity with cloud platforms (AWS/Azure/GCP) preferred Experience building small prototypes (e.g., Python, notebooks, APIs, lightweight apps ...

Azure, Power BI, Business Intelligence, D365, Dynamics 365, lakehouse, datalakes, dataops, CI/CD, SQL, databricks, fabric, pyspark, spark, fabric, medallion, data model, AI, ML, data lifecycle, seamtic models, pipelines, Dataverse, T-SQL, Azure Base Data – Remote - £60-65kpa Our client are seeking a Data Engineer to join their … processing Understanding of DataOps principles, including CI/CD, automated testing, monitoring, and data lifecycle management. Awareness of enterprise data needs, including AI/ML enablement, governance, security, reusable data assets, plus strong problem-solving, collaboration, and continuous learning mindset. Location: Cambridge/Hybrid Candidates must be eligible ...

Consumer Marketplace/App Department: Product & Insights A leading global marketplace is hiring a Senior Product Analyst to partner with product, engineering, design, and ML teams to shape the future of a mobile-first product used worldwide. What You'll Do Act as the lead data scientist for a core … interpret experiments across the product ecosystem Influence product strategy by connecting insights to business goals Improve datasets, dashboards, and analytical tooling Work closely with ML teams on discovery, ranking, and personalisation initiatives What We're Looking For Expert-level SQL + solid Python for product analytics Hands-on A/ ...

industry, financial market data and analytics Exposure to different cloud-based data and analytics platforms (e.g. AWS, DataBricks, Snowflake). Experience working with data, ML and GenAI and familiarity with API and web-based data delivery systems Ability to work as part of a larger team and being willing … building collaborative relationships. Certification in Agile methodologies Why Choose Fitch: Hybrid Work Environment: 3 days a week in office required A Culture of Learning & Mobility: Dedicated training, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunity Investing ...

trade finance? As a Global Solution Architect, you’ll be at the forefront of digital transformation—designing innovative solutions that leverage cloud, AI/ML, open banking, and sustainable finance. You’ll work with major financial institutions across EMEA, shaping strategies that drive efficiency, compliance, and ESG integration. … technical documentation that highlight the value and future-proofing of our solutions. Stay ahead of trends : Continuously research and apply emerging technologies—AI/ML, blockchain, open banking APIs, instant payments—to deliver innovative solutions that differentiate Finastra. Required Skills & Experience: Experience of working with corporate lending and trade finance ...