1,451 to 1,475 of 1,733 Machine Learning Jobs in England

predictive signals. Building world‐class research tooling to speed up Algo Developers’ research iteration. Aiding the development and deployment of very large deep learning models for HRT’s live trading. Improving HRT’s monetization systems which turn our predictions into profitable trades. Evaluating sim vs. live differences to improve … superlative reviews. Experience with supporting internal users is preferred; bonus if you have real hands‐on experience with quant research and/or ML/Deep Learning platforms. Experience with python numerical, ML and data‐oriented libraries is a big plus (e.g. pandas, scikit, pytorch, etc.). Candidates should ...

Senior AI/ML Software Engineer (LLM Focus) Location: Guildford, Surrey UK (office based role) Salary and benefits: £on experience + a truly outstanding package that includes an unrivalled holday entitlement. Role Overview Our client has tasked us to source a talented Senior level AI/ML Software Engineer with ...

machine intelligence and to demonstrate how hardware can drive the next generation of innovative AI models. We publish at leading AI/ML conferences, including NeurIPS, ICML and ICLR, as well as specialist workshops, and collaborate with other research teams and organisations across the world. We pride ourselves … PyTorch or JAX. Familiarity with deep learning fundamentals, including model architectures, optimisation, evaluation and scaling. Ability to design, execute, analyse and clearly communicate ML experiments. Mathematical foundations to support the above, including calculus, probability theory and linear algebra. Evidence of research ability, such as conference or workshop submissions, publications ...

dashboards (DAX, Power Query, RLS, performance). ETL/ELT tooling (SSIS/Power Query) and dimensional modelling (Star Schema). Practical AI/ML exposure (e.g., Python notebooks, Azure ML, or equivalent) and the ability to operationalise models responsibly within reporting workflows. Proven track record integrating disparate systems post … Pivot tables, Power Pivot. Qualifications: Degree in a quantitative field (or equivalent experience). Microsoft certifications (DP-203, PL-300) advantageous. Evidence of continuous learning in data engineering, BI, and AI. What we offer: Competitive salary commensurate with level of experience Hybrid working options considered following training & probation completion ...

Senior Software Engineer (Contract) | AI/ML, Cloud & Backend Contract: Initial 6 Months Location: London (Hybrid – 3 Days Onsite Minimum) Start Date: ASAP Engagement: Full-Time Contract IR35: Outside Rate £500-£600 per day We’re working with a highly regarded enterprise software business seeking a Senior Platform Engineer … quickly integrate into an established engineering function and contribute from day one across backend engineering, cloud infrastructure, platform architecture and AI/ML-enabled product initiatives. You’ll work closely with engineering leadership and cross-functional teams to help deliver critical roadmap objectives, contributing directly to the design, build, deployment ...

Providing technical leadership across key domains in data and AI Demonstrating deep expertise in one or more areas such as data platforms, AI/ML, analytics, data governance, or integration. Setting direction, establishing best practices, and ensuring architectural quality across engagements, while staying at the forefront of emerging technologies … you. Proven experience in Enterprise and/or Solution Architecture, ideally within data, AI, or analytics-focused environments Experience shaping or delivering AI/ML and advanced analytics solutions, with an appreciation of both technical and ethical considerations Demonstrated experience advising senior stakeholders and building trusted relationships across business ...

market operates. This is not a research role — we need someone who ships. What You Will Do Lead the design and delivery of complex ML and GenAI systems — robust, scalable, and built for production. Guide the team across the full AI lifecycle, from experimentation and evaluation through deployment and monitoring … cash flow waterfalls, ABS/CLO structures, and priority of payments. Strong software engineering skills (Python preferred) combined with deep knowledge of AI/ML frameworks, GenAI tooling, and modern data infrastructure. Hands‐on experience building and deploying ML/GenAI systems in production within finance, legal, or other high ...

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 ...

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/ ...