651 to 675 of 917 Machine Learning Jobs in England

Hybrid: 4 days in our Central Manchester office/1 WFH 👥 Clients: AI Startups, SaaS, Ecommerce, Tech & Innovation Labs 🧠 Markets: Data Science, AI/ML, MLOps, Data Engineering, Analytics, BI, AI Product & Strategy Tribal Digital is expanding into one of the fastest-growing areas in tech — Data & AI . … Data & AI division What We’re Looking For ✔ Experience in tech or data recruitment (agency or in-house) ✔ Strong understanding of Data, AI/ML or Engineering hiring ✔ Confident communicator who can engage both technical candidates & stakeholders ✔ Proactive, organised and commercially minded ✔ Someone who thrives in a growth environment ...

Claude, Gemini, Mistral, LLaMA, Cohere). Experiment with advanced prompting techniques; Chain-of-Thought, ReAct, Tree-of-Thoughts, and more. Deploy AI/ML pipelines using Azure ML, AWS SageMaker, Vertex AI, or Databricks. Integrate LLMs into production apps using LangChain, LlamaIndex, and RAG architectures. Build APIs and microservices … PromptOps tools (PromptLayer, Humanloop, LangFuse). Knowledge of ethical AI, bias mitigation, responsible AI principles. Bachelors or Masters degree in Computer Science, AI/ML or related field. Tech Stack LLMs: GPT-4/5, Claude, Gemini, Mistral, LLaMA, Cohere Frameworks: LangChain, LlamaIndex, Haystack Tools: GitHub Copilot, Cursor, PromptLayer, Weights ...

forward-deployed engineer, working closely with both technical teams and business stakeholders. What You’ll Bring Proven experience deploying enterprise-grade AI or machine learning solutions in cloud and/or on-premise environments. Hands-on familiarity with at least one major cloud provider and strong DevOps skills. … paid holiday plus bank holidays (carry over/sell up to 5 days) Work abroad days and flexible benefits, including Health/Dental Insurance Learning & development budget, tech purchase support, office snacks, team events, referral bonuses Interview Process Initial screening call Hiring manager/team interview (30-45 mins ...

JANUARY 2026 (SUBJECT TO APPLICATION VOLUMES) What we can offer you 1 year placement: starting September 2026, that allows you to apply your university learning to real-world projects and technologies Company bonus : based on company performance and will vary year to year Pension : maximum total (employer and employee … range strike weapons Operator decision aids for strike mission planning Threat evaluation & weapon assignment algorithms for air defence Multi-weapon co-operation Application of machine learning techniques to air-to-air combat We make a difference - the capabilities we deliver give our armed forces an operational advantage. Within ...

experienced founders. The role You will: Build production-ready, pythonic data pipelines Create data models to organise raw behavioural data Support feature engineering for machine learning workflows Handle ETL processes and data ingestion across clients Identify and resolve data quality issues Work closely with senior technical leadership What ...

integration of equipment and software Command and Control Systems Hardware and software network design, implementation and management Acoustics/Sonar RF communications Autonomy, AI, Machine learning Data management Software Safety (DEF STAN 00-56 & IEC 61508 or equivalent) Additional Information: Please note, due to the sensitive nature ...

management skills (working with cross-functional teams and resource management etc) Stakeholder management Desirable: Experience in Data Science Knowledge and/or experience of Machine Learning What you get in return: Up to £60,000 per annum + benefits Hybrid working (3 days in office) Opportunity to lead ...

Software Engineer will: Work with a mature Python/Django codebase to further develop clinical products which give diagnostics information to clinicians Work with machine learning concepts to develop existing and new medical image analysis technologies The Company The Software Engineer will be joining an established Oxford-university ...

proficiency in adopting and implementing new technology Experience with collaboration software applications such as HighQ, Legatics, SmartSheet, or SharePoint Knowledge of generative AI or machine learning based legal software such as Harvey, CoCounsel, and Kira would be highly advantageous Experience with document automation software such as Contract Express ...

initial conversation — but expect complex, meaningful, and highly innovative AI challenges. What they're looking for: > 7–8 years' commercial experience in AI/Machine Learning > Strong hands-on expertise in Generative AI (LLMs, multimodal models, RAG, diffusion models, or similar) > Solid background in healthcare – NHS, medtech, clinical ...

enhance core trading systems, research tooling, and data-driven applications. Projects span proprietary trading system development, front-office tools, and the application of machine learning across the investment process. The environment is fast-paced, collaborative, and a highly technical one where code quality and low latent systems ...

Strong understanding of sales, marketing, and customer service business processes Experience with business process modelling, analysis, and optimisation methodologies Working knowledge of AI and machine learning concepts and their application within CRM platforms Ability to translate business requirements into technical solutions Full UK Driving License and access ...

near Cambridge, is seeking a Senior RF Data Scientist/Research Engineer to work at the intersection of RF hardware, digital signal processing, and machine learning. This hands-on R&D role involves analysing complex RF datasets, developing advanced signal-processing pipelines, and contributing t... ...

near Cambridge, is seeking a Senior RF Data Scientist/Research Engineer to work at the intersection of RF hardware, digital signal processing, and machine learning. This hands-on R&D role involves analysing complex RF datasets, developing advanced signal-processing pipelines, and contributing t click apply for full ...

Experience with backend systems, async code, and debugging production issues. Comfortable working directly with customers and cross-functional teams. Nice-to-have: experience integrating ML models, voice-stack exposure. ...

shifting energy usage to cleaner, cheaper periods. It’s large-scale optimisation across EVs, home batteries, and heating systems - all driven by data and machine learning. They’re backed by leading investors, scaling quickly, and building the core technology behind a smarter, low-carbon energy network. 💡 Why join: Work ...

extended team to identify AI use cases across the client and support the assessment of technical feasibility of these use cases. Understanding of AI, ML and GenAI tools, such as GPT models, and Agentic AI frameworks. Experience across: Solution Design: Lead the design and architecture of solutions, ensuring scalability, security ...

with industry leaders ensure delivery of best-in-class solutions. Innovative Solutions : Offerings : SAP S4 Hana, ERP, Cloud, Analytics, IoT, Blockchain, RPA, AI/ML, Supply Chain, HCM, Procurement, and Mobility solutions. Proprietary Innovations : Unique solutions like AI-driven project management tools and advanced business suites. Competitive Compensation and Benefits ...

real impact. Global exposure : Collaborate with diverse teams and clients across industries and geographies. Drive innovation : Influence data governance strategies and harness AI/ML to create smarter solutions. Grow and lead : Access leadership pathways, mentorship programs, and opportunities to develop others. Inclusive culture : Thrive in an environment that values ...

understanding of evaluation and experimentation for generative AI, focused on correctness, faithfulness, and robustness. Demonstrable experience owning technical design and delivery of complex AI, ML, or data-driven systems in production environments. Experience operating as a senior AI engineer or technical lead, balancing experimentation with production delivery and communicating effectively ...

understanding of evaluation and experimentation for generative AI, focused on correctness, faithfulness, and robustness. Demonstrable experience owning technical design and delivery of complex AI, ML, or data-driven systems in production environments. Experience operating as a senior AI engineer or technical lead, balancing experimentation with production delivery and communicating effectively ...

contract basis, contributing to a critical Data Foundations programme. This programme encompasses several interdependent workstreams, including Data Platform build, Data Governance Framework, AI/ML readiness, Business Glossary, Data Catalogue, Self-Service, and Data Quality Frameworks. Key Responsibilities: Facilitate Agile ceremonies, ensuring adherence to Scrum principles and practises. Remove blockers ...

administration (e.g., NVIDIA, AMD) and workload schedulers such as SLURM or PBS. •Proficiency with AI model training workflows and experience supporting popular AI/ML frameworks (e.g., TensorFlow, PyTorch, CUDA). Solid understanding of networking, storage, and server platforms in both Windows and Linux environments. •Advanced analytical, troubleshooting, and performance ...

mobile Deep understanding of mobile performance constraints Computer Vision Experience Experience with mobile CV frameworks such as: Apple Vision/CoreML OpenCV (mobile) Custom ML or image processing pipelines Experience working with real-time camera input Understanding of lighting conditions, motion, spoofing, and edge cases Experience in using Tensaflow Software ...

large-scale programmes. Deep understanding of technology principles across diverse contexts. Expertise in core IT domains: Cloud, Infrastructure & Networks, Applications, Data (including AI/ML), ITSM (ITIL), Cyber Security, and Automation. Ability to design and deliver complex, mission-critical systems within time and budget constraints. Strong communication skills , both written ...