1,426 to 1,450 of 1,721 Machine Learning Jobs in England

artefacts (templates, examples, checklists) that support effective adoption of recommended practices. Lead and facilitate the AI engineering knowledge and community activities—curating content, running learning sessions, and integrating feedback into improved guidance. Review and adapt industry best practices, working with internal experts to publish reusable patterns and architectural recommendations. … Experience applying software engineering fundamentals: writing tests, structuring user stories, managing iterative releases, and working with CI/CD pipelines. Experience in AI/ML, software, or platform engineering, with exposure to automated testing and infrastructure‐as‐code or policy‐as‐code. Working knowledge of AI observability (logs, metrics, traces ...

architectures relevant to the platform. • Improve model robustness, inference performance, and operational reliability. Key Skills and Experience • 5+ years in data science or ML engineering, with recent applied AI/LLM experience. • Strong Python and modern AI stack: PyTorch, Hugging Face, LLM serving (vLLM, SGLang), agent frameworks (OpenAI Agents … LangGraph), and provider APIs (OpenAI, Anthropic). • Track record building and deploying production AI/ML systems, with strong evaluation harness design (agent trajectories, LLM-as-a-judge, trace and error analysis). • Hands-on with open-source LLM fine-tuning (SFT, LoRA, QLoRA, DPO, GRPO) and libraries such ...

maintaining developer-facing platforms, SDKs, or internal tools Comfortable articulating technical architecture, vision, and strategy to both technical and non-technical audiences AI/ML & Ecosystem Knowledge Hands-on experience with LLMs, agentic frameworks, and GenAI tooling (models, APIs, orchestration platforms) Practical experience with RAG architectures, prompt engineering, fine-tuning … advocacy Deeply committed to enabling others and multiplying team impact across 500+ engineers Pragmatic - prefers safely shipping good solutions now over perfect solutions later Learning-oriented - actively seeks to deepen AI knowledge while staying grounded in engineering fundamentals Accountability - takes responsibility for platform reliability, team adoption, and driving measurable ...

data teams depend on. These are hands-on engineering roles where you'll build and operate the foundations that analytics, BI, data science and ML all stand on. You'll work across the full data engineering lifecycle—from ingestion and modelling through to transformation, orchestration, quality, observability and platform operation. … models Build streaming pipelines where the use case warrants it (Kafka, Kinesis, Pub/Sub, Flink) Partner with analysts, scientists, BI developers and ML engineers to deliver the data products they need Contribute to data governance, cataloguing, access management and platform security (Analytics Engineer) Sit closer to the analyst side ...

Full Stack Engineer – ML/GenAI Our trusted partner, which operates within the Ed-Tech domain, employs over 10,000 individuals across 100 countries, and has a reach of 600 million users, is recruiting a Full Stack Engineer with hands-on development capabilities in Python, JavaScript/TypeScript and ML … Experience in software development and architecture, with a track record of delivering high-quality, scalable software applications, is desirable. Experience working on AI/ML/LLM-based applications is desirable. Beneficial technical skills include: AWS – including certification Terraform Kubernetes Data science/ML tooling – scikit, TensorFlow, hugging face, pytorch ...

Preferred Qualifications: Experience with Site Reliability Engineering (SRE) principles and practices. Knowledge of CI/CD pipelines and DevOps methodologies. Exposure to AIOps or machine learning-based monitoring tools Certification in cloud platforms or monitoring technologies. If you are interested in this position and would like to learn ...

integration. Frameworks: Hands-on experience building GenAI applications using LangChain and LangGraph (agent architecture design, state management, and graph-based workflow orchestration). ML & Cloud Ecosystems: Solid understanding of ML algorithms, FastAPI, PyTorch/TensorFlow, MLflow, MLOps practices, containerization (Docker, Kubernetes/AWS EKS), and cloud services (AWS Bedrock, SageMaker ...

PowerBI, Tableau, Looker,... Background in Data Governance and Data Catalog solutions: Axon, Informatica EDC, Colibra, Purview, etc. Previous experience in Artificial Intelligence techniques: ML/Deep Learning, Computer Vision, NLP, etc General information: Start Date: ASAP Length of Contract: 1 year (minimum) Work Location: Madrid Remote working. ...

Azure OpenAI, AWS Bedrock, or Vertex AI LangChain, LangGraph, LlamaIndex Python Hugging Face, PyTorch, TensorFlow Cloud Architecture (Azure/AWS/GCP) AI/ML Architecture experience Enterprise solution design Experience: 7+ years in AI/ML, Solution Architecture, or AI Architecture Proven experience delivering production-grade GenAI solutions Strong ...

experience. Outside IR35 Experience and skills required for the Agentic AI Architect, Agentic Artificial Intelligence, Architecture 8+ years of experience in AI/ML, including 5+ years as a Solution Architect 4+ years of hands-on development with LLMs and autonomous AI agents Strong experience with Python and orchestration libraries … with the ability to present solutions to both technical and non-technical stakeholders. Hands-on exposure to cognitive architectures, planning-based agents, or reinforcement learning in real-world deployments. Experience integrating AI agents into enterprise apps like Salesforce, ServiceNow, SAP, or custom apps via APIs. Understanding of AI observability ...

architect and scale the systems powering our client's AI products: from real-time pipelines and analytics infrastructure to vector databases and ML data workflows. You'll define data architecture, tooling, and engineering standards, working closely with AI and backend engineers, and lay the foundations for the future data … product systems Design data ingestion, transformation, and storage architectures Build batch and real-time pipelines, plus vector search/retrieval systems for ML workflows Own data reliability, security, governance, and observability Shape long-term data strategy and mentor the team as we scale What You'll Bring 7+ years ...

expand AI professional services offerings, contributing to go-to-market strategies and pre-sales activities including proposals and solution positioning Collaborate with Data Scientists, ML Engineers, and cross-functional teams to deliver end-to-end AI solutions that combine technical excellence with business impact Drive innovation by contributing … internal capability development REQUIREMENTS Proven track record of building and delivering large-scale AI systems from concept to production, with expertise in Generative AI, ML frameworks, and MLOps Strong consulting and advisory skills, with the ability to navigate ambiguity and maintain focus on client success in fast-paced environments Demonstrated ...

require a Data Science Consultant to join their Defence & National Security team. You will design, build, and deploy scalable data pipelines and AI/ML solutions that directly support vital national security projects. In order to be successful, you will have the following experience: Experienced in the Python data stack … ready data engineering pipelines Utilise AWS-based infrastructure and services to deploy and manage data workflows Evaluate and implement a variety of AI and ML solutions to solve complex client problems, integrating models smoothly into production systems Creative visualisation techniques to design impactful, intuitive data visuals and dashboards Adhere ...

frameworks Embed data quality checks by default (schema validation, completeness, freshness, thresholds, alerting) Improve pipeline resilience, monitoring, observability and recovery mechanisms Integrate AI/ML capabilities where appropriate (e.g. anomaly detection, intelligent monitoring) Support delivery of a wider Data Strategy programme , improving consistency and data quality Ensure pipelines are production … strong SLAs Exposure to AI-enabled data pipelines (e.g. anomaly detection, intelligent monitoring) Experience with data quality at scale Understanding of MLOps or deploying ML models into production Must-Haves Strong hands-on experience with GCP, Python and Scala Proven track record delivering production-grade data pipelines Deep expertise across ...

into business workflows to deliver measurable commercial impact. The responsibilities of the Chief Data & Analytics Office include advancing both traditional AI/ML and generative AI capabilities, identifying priorities and focusing on high-impact AI use cases, setting the GenAI strategy around LLMs and Agentic AI, reusing and scaling … experience with diverse problem-solving background required – e.g. top strategy consulting firm, internal strategy, investment banking, private equity Deep knowledge and understanding of AI&ML preferred (esp. how to use GenAI tools/Prompt Engineering, retrieval-augmented generation (RAG) and agentic workflows) BSc or MSc degree in relevant field Outstanding ...

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 ...