351 to 375 of 1,111 Machine Learning Jobs in England

teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: · Strong Python and SQL experience · Applied AI engineering, ML engineering or software engineering background · Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning · Exposure to LangChain, LangGraph, Agent Development Kit or similar agent ...

product is built at Mintel — AI-first thinking in discovery and validation to delivery and measurement.* Lead the strategic use of AI/ML in product development to gain competitive advantage.* Coach and mentor product managers to elevate the craft across the team. **What We’re Looking For**Essential: * 10+ ...

seeking a Head of Machine Learning & AI, based in Manchester (Hybrid). In this pivotal leadership role, you will define and oversee ML strategies that enhance customer experience across one of the UK’s top consumer platforms. Your responsibilities will include leading a team in production ML systems ...

Engineer/ML Engineer £700-£800 pd via Umbrella Fully Remote- occasional UK office visit Leading Financial Services business is looking to bring in an experienced AI Engineer/ML Engineer with commercial experience in Generative AI and/or Agentic AI solutions. Key Requirements Proven experience delivering GenAI … architecture, orchestration, and scalable deployment practices Preferred Experience Building AI agents, RAG pipelines, or enterprise AI applications Working with cloud-based AI/ML platforms and data storage solutions Collaborating with engineering and product teams to deliver production-ready AI systems This role would suit someone who combines strong technical ...

Senior AI/ML Engineer (LLM's/RAG Pipeline Development)Guildford, Surrey (Fully Onsite)£85000 - £125,000 + 25% Bonus, 10% Pension, Private Medical.- Must have a Masters or PhD Degree in a STEM/Computing discipline.- Must work full-time, 5 days a week in the Guildford office. … building, and deploying LLM-based applications into production environments.We're looking for a Senior Engineer who can bridge the gap between advanced AI/ML and production-grade software, taking models from concept through to scalable deployment. It is not purely an AI/ML role ...

team. You will join a collaborative team of data and AI engineers, scientists, developers, analysts, and architects. Together, you will design and build modern machine learning and AI services that support analytics and improve products across the business. Main Responsibilities as the Senior Data Engineer: Build and support … performance of data components Improve engineering processes across the wider data community Promote high coding and data practice standards Experiment with emerging data, ML and AI technologies Partner with architects on data product designs Work collaboratively in multi-functional agile squads Support ML and GenAI infrastructure and workflows Skills ...

technical audiences; influence product roadmaps, prioritization, and resourcing via data-driven analysis, scenario studies, and clear articulation of trade-offs. Lead development of ML/AI solutions end-to-end (feature engineering, model training/validation, MLOps, monitoring and drift management) with rigorous controls, documented governance, and demonstrable business value. … differentiation). Experience with market risk, time-series/stress analytics, model risk governance, and regulatory expectations for pricing/risk models. Hands-on ML/AI for quant finance (signal extraction, surrogate modeling, anomaly detection), including MLOps, drift monitoring, and explainability. Knowledge of portfolio optimization, hedging algorithms, execution analytics ...

emerging trends in LLMs, GenAI, and AI tooling Experience Required Strong commercial experience (typically 4-8+ years) in software engineering, data science, or machine learning Proven experience building and deploying LLM/Generative AI applications in production environments Hands-on experience with RAG architectures, embeddings, and vector ...

Kubernetes. Familiarity with event-driven architecture and message brokers (e.g., Kafka, RabbitMQ). Knowledge of front-end performance optimisation and accessibility standards. Exposure to machine learning pipelines or data engineering workflows. Prior experience working in startup environments or high-growth technology companies. Benefits Hybrid working as standard ...

technical leadership roles. Strong experience in Azure cloud architecture and enterprise application delivery. Experience working with Dataiku for analytics, data pipelines, or AI/ML-driven applications. Strong knowledge of .NET/ASP.NET Core architecture and enterprise integrations. Experience with financial services, treasury, derivatives, or risk management platforms. Understanding ...

Branch) Tech Stack Java Python ATS C Qualifications Master's degree Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Experience in building Overall, we appreciate the value of correct modeling. Compensation and Role Type Compensation: Competitive Role ...

Tech Stack Java Python ATS C Basic Qualifications Master's degree Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Experience in building... Overall, we appreciate the value of correct modeling. Compensation and Role Type Compensation: Competitive Role ...

Requirements: Graduate degree in a STEM field such as Computer Science, Engineering, Statistics, or equivalent practical experience 5+ years of experience developing AI/ML applications and data driven solutions Excellent knowledge of Python and core data science libraries such as pandas, scikit-learn, LangChain, etc. Experience with LLMs, e.g. … foundation model APIs, prompt engineering, retrieval augmented generation Substantial depth and breadth across state-of-the-art AI/ML techniques such as Generative AI, NLP, Deep Learning, etc. Understanding of CS fundamentals, computational complexity, and algorithm design Ability to engineer and deploy well-architected software packages Strong communication ...

Requirements: Graduate degree in a STEM field such as Computer Science, Engineering, Statistics, or equivalent practical experience 5+ years of experience developing AI/ML applications and data driven solutions Excellent knowledge of Python and core data science libraries such as pandas, scikit-learn, LangChain, etc. Experience with LLMs, e.g. … foundation model APIs, prompt engineering, retrieval augmented generation Substantial depth and breadth across state-of-the-art AI/ML techniques such as Generative AI, NLP, Deep Learning, etc. Understanding of CS fundamentals, computational complexity, and algorithm design Ability to engineer and deploy well-architected software packages Strong communication ...

Requirements: Graduate degree in a STEM field such as Computer Science, Engineering, Statistics, or equivalent practical experience 5+ years of experience developing AI/ML applications and data driven solutions Excellent knowledge of Python and core data science libraries such as pandas, scikit-learn, LangChain, etc. Experience with LLMs, e.g. … foundation model APIs, prompt engineering, retrieval augmented generation Substantial depth and breadth across state-of-the-art AI/ML techniques such as Generative AI, NLP, Deep Learning, etc. Understanding of CS fundamentals, computational complexity, and algorithm design Ability to engineer and deploy well-architected software packages Strong communication ...

Requirements: Graduate degree in a STEM field such as Computer Science, Engineering, Statistics, or equivalent practical experience 5+ years of experience developing AI/ML applications and data driven solutions Excellent knowledge of Python and core data science libraries such as pandas, scikit-learn, LangChain, etc. Experience with LLMs, e.g. … foundation model APIs, prompt engineering, retrieval augmented generation Substantial depth and breadth across state-of-the-art AI/ML techniques such as Generative AI, NLP, Deep Learning, etc. Understanding of CS fundamentals, computational complexity, and algorithm design Ability to engineer and deploy well-architected software packages Strong communication ...

/CD processes Strong communication skills and a collaborative mindset Nice to Have SaaS or product development experience Exposure to AI or machine learning environments Experience with Databricks, Fabric or modern cloud data platforms The Opportunity Work on AI-powered products rather than internal reporting Join a collaborative … product engineering team Exposure to modern cloud and AI technologies Opportunity to influence products used by real customers Excellent environment for learning and development For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes ...

technical audiences; influence product roadmaps, prioritization, and resourcing via data‐driven analysis, scenario studies, and clear articulation of trade‐offs. Lead development of ML/AI solutions end‐to‐end (feature engineering, model training/validation, MLOps, monitoring and drift management) with rigorous controls, documented governance, and demonstrable business value. … differentiation). Experience with market risk, time‐series/stress analytics, model risk governance, and regulatory expectations for pricing/risk models. Hands‐on ML/AI for quant finance (signal extraction, surrogate modelling, anomaly detection), including MLOps, drift monitoring, and explainability. Knowledge of portfolio optimisation, hedging algorithms, execution analytics ...

Eaglecliff is seeking a senior AI/ML Research Engineer to join their innovative GenAI Team in Greater London. This role involves designing, developing, and deploying scalable AI/ML solutions, focusing on creating production-grade machine learning systems. The ideal candidate will have over 10 years ...

including harvesting, ingesting, integrating, cleansing, migrating, and converting structured and unstructured data. Designing and managing data structures, storage, and data flows to enable analytics, machine learning, business intelligence, compliance, and system integration. Building solutions with security, compliance, scalability, reliability, and portability at their core, ensuring all data handling ...

level proficiency in SQL, BigQuery, and modern data ingestion/transformation patterns Tooling: Experience with Looker, dbt, and Python Data Science: Ability to develop Machine Learning models and the required supporting infrastructure Architecture: Familiarity with modern data architecture patterns and real‐time data infrastructure AI & Automation: Familiarity with ...

APIs and data pipelines with strong security, data governance and residency practices. Cloud platform experience (AWS, Azure or GCP) including managed AI/ML services. Proficiency in Agile, CI/CD, modern SDLC and TDD. Strong data and architecture skills: modelling across relational, columnar and vector stores, grounded in sound ...

Depop is looking for a Staff ML Scientist to join our Ranking ML team in London. In this role, you will lead the design and deployment of advanced ranking models, collaborating closely with cross-functional teams to deliver scalable solutions. The ideal candidate will have significant experience as a Machine Learning Scientist, with advanced programming skills in Python and familiarity with ML frameworks like PyTorch and TensorFlow. This position includes a hybrid working model and various employee benefits. #J-18808-Ljbffr ...

management, and stakeholder management. You should have a strong knowledge of: Project management and change management frameworks Effective visualisation and presentation Statistical & probabilistic analyses Machine learning methodologies, including GenAI Programming/software development Position responsibilities (including but not limited to): Fully own and lead the delivery … keyboard (Python) Be intellectually curious and enjoy learning Requirements: Exceptional project management, change management, and stakeholder management skills Fluency in AI/ML tools and techniques, including GenAI/Agentic AI Experience with cloud computing (Azure is a plus) Master's degree in a quantitative discipline, exceptional candidates considered ...

open‐source AI projects or published research in AI/ML. Extensive experience in software or systems architecture, with strong focus in AI/ML domains. Proven experience designing and deploying AI solutions using frameworks such as LangChain, RAG, and vector databases or the MCP protocol. Deep understanding of LLMs … prompt engineering, model evaluation, and fine‐tuning strategies. Strong proficiency in ML frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (AWS, Azure, GCP). Experience with AI infrastructure components including model gateways, orchestration layers, and observability tools. Familiarity with AI governance, data privacy, international regulation and ethical AI frameworks. Excellent leadership ...