1,051 to 1,075 of 1,236 Machine Learning Jobs in England

data enabled future. Your responsibilities: Define and maintain conceptual, logical, and physical data models that accurately reflect business processes and support analytics, AI/ML, and operational needs. Translate business requirements into robust data entities, attributes, relationships, and constraints; ensure traceability from requirements to models. Establish and enforce GDM modelling … . Drive data integration design across sources (CDC, event streaming, APIs), mapping source-to-target, resolving conflicts, and handling historical changes. Support AI/ML readiness by modelling features, aggregations, and histories; collaborate on feature stores and model input/output schemas. Embed privacy and security requirements into models ...

Who Are We? Taking care of our customers, our communities and each other. That’s the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers ...

Are you a strategic data leader ready to shape the future of a modern, digitally-enabled building society? Dudley Building Society is looking for an exceptional Head of Data to lead our enterprise-wide data ...

Conduct QA on creatives, ad tags, and tracking before launch. Analyse delivery and performance, providing actionable insights to improve results. Set up and manage machine learning-driven targeting campaigns for clients. Product Delivery & Coordination Coordinate GMS campaign setup, including articles, dashboards, microsites, and client ABM target lists. Maintain ...

Senior AI/ML Engineer Shaping AI for individuals and business London (Hybrid, 3 days/week) Up to £120k + 10% bonus + £20k equity We're building AI that actually matters. AI is at the centre of every business, what you're working … learning at scale for some of the world's most ambitious organisations and individuals looking to better themselves. As a Senior AI/ML Engineer at Multiverse, you won't just ship models. You'll own the full lifecycle, influence our product roadmap, and leave a tangible mark ...

technologies while collaborating with cross-functional teams to design scalable APIs. The ideal candidate should have a PhD in a quantitative field, significant ML engineering experience, and strong communication skills. This position offers a unique opportunity to innovate and shape the future of AI within the organization. #J-18808-Ljbffr ...

Contract (Inside IR35) Duration: 6 Months Job Summary: Our client is seeking a skilled and innovative Generative AI Engineer to join our AI/ML team. In this role, you will design, develop, and deploy cutting-edge generative models-including LLMs, diffusion models, and GANs-to solve real-world problems … ethical and responsible AI development , including bias mitigation and safety evaluations. Essential Skills, Experience, and Abilities: Strong programming skills in Python and experience with ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face Transformers). Solid understanding of deep learning, NLP, and generative modeling techniques . Experience with training and fine ...

Middleware Integration: Practical experience building recipes or connectors in Workato to trigger AI workflows from external business events is a strong plus. · Data & Traditional ML: Experience with Databricks for data engineering (PySpark) or building classical ML models (Scikit-Learn, XGBoost) is beneficial for handling complex data pre-processing and hybrid ...

deployment → monitoring → iteration Make pragmatic trade-offs between speed, quality and technical elegance Product & User Impact Translate messy real-world user problems into testable ML solutions Partner closely with Product to ensure models improve user trust, confidence and discovery Focus on feature value, ROI and the signals that truly matter … frameworks and evaluation pipelines Decide where data investment matters most Technical Direction & MLOps Establish pragmatic MLOps practices (deployment, monitoring, iteration) Build scalable but lightweight ML pipelines in AWS alongside engineering Ensure models are robust, reliable and safe for production Team & Culture Set the technical bar for data science Mentor future ...

using modern cloud platforms (AWS/Azure/GCP). Build scalable APIs, inference pipelines, and end‐to‐end MLOps workflows (MLflow, Kubeflow, Azure ML, Vertex AI, etc.). Shape the future of our AI platform Prototype bold new ideas fast. Iterate with a “learn quickly, ship often” mindset. Collaborate … experts to identify high impact use cases and refine strategy. 🛠️ What You Bring Must‐Haves Strong Python engineering skills and experience shipping AI/ML systems into production. Hands‐on experience with LLMs, RAG, Transformers, or NLP/IR architectures. Experience with prompt engineering, evaluation, and optimisation techniques. Comfortable working ...

Proven experience applying deep technical expertise across AI, ML, LLMs, agentic AI, and applied AI engineering, driving the design, evaluation, and governance of advanced AI solutions Proven experience designing, evaluating and governing multi-agent systems, incorporating memory structures, tool-use orchestration, planning algorithms and autonomy controls. Demonstrated ability to benchmark … communication skills, including senior-level engagement. Commercial awareness and a value-driven mindset. Use of professional networks and external influencers with clear evidence of learning and development to build and maintain skills and expertise. ...

pipelines and test automation tooling. Strong understanding of cloud architecture, service layers, and data management patterns. Passion for emerging technologies such as AI/ML, IoT, edge computing, or blockchain. Strong working knowledge of agile principles and modern delivery methodologies. Excellent stakeholder engagement, communication, and teamwork skills. High emotional intelligence … architecture and engineering standards at a strategic level. Clear pathway for continued professional growth and leadership development. Supportive, collaborative engineering culture built around continuous learning and technical excellence. We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion ...

project delivery for some of the leading FTSE-100 companies, shaping how they apply data, analytics, and innovation across their business lifecycle Continuous learning and growth through Accenture’s world-class training programs, mentorship, and access to cutting-edge tools and knowledge A collaborative, purpose-driven culture that encourages … Business Data Cloud (BDC) with SAP S/4HANA and non-SAP platforms, enabling seamless data sharing and collaboration for AI/ML use cases across the enterprise. Collaborate with cross-functional teams to identify, prioritize, and deliver AI-powered use cases leveraging SAP Business AI, focusing on domains like ...

business Mentoring junior engineers and supporting best practice What Youll Need Essential Strong senior level software engineering experience Hands on experience building AI or ML solutions Data engineering and feature engineering experience Experience with cloud platforms such as AWS, Azure, or GCP Ability to work autonomously and take ownership … collaborator Desirable Experience working in a regulated environment Understanding of ethical AI, risk management, and responsible deployment Leadership or mentoring experience AI or ML related certifications Whats on Offer £60,000 salary 25 days holiday plus bank holidays Annual bonus scheme Weekly personal training session Private medical healthcare Employee Assistance ...

Head of Data (Architect Architecture Data Development Engineer Engineering Manager Management Head of Agile Microsoft Azure ML AI Automation Finance Financial Services Fabric Synapse DataBricks Snowflake SQL Banking Asset Management Investment Lending Loans Mortgtages) required by our financial client in London. You MUST have the following: Good experience … essential: Microsoft Fabric, Synapse, Databricks or Snowflake Role: Head of Data (Architect Architecture Data Development Engineer Engineering Manager Management Head of Agile Microsoft Azure ML AI Automation Finance Financial Services Fabric Synapse DataBricks Snowflake SQL Banking Asset Management Investment Lending Loans Mortgtages) required by our financial client in London. ...

Head of Data (Architect Architecture Data Development Engineer Engineering Manager Management Head of Agile Microsoft Azure ML AI Automation Finance Financial Services Fabric Synapse DataBricks Snowflake SQL Banking Asset Management Investment Lending Loans Mortgtages) required by our financial client in Brighton, East Sussex. You MUST have the following: Good experience … essential: Microsoft Fabric, Synapse, Databricks or Snowflake Role: Head of Data (Architect Architecture Data Development Engineer Engineering Manager Management Head of Agile Microsoft Azure ML AI Automation Finance Financial Services Fabric Synapse DataBricks Snowflake SQL Banking Asset Management Investment Lending Loans Mortgtages) required by our financial client in Brighton, East ...

architecture boards, and executive communications. Required Qualifications Bachelors or Masters degree in Computer Science, Data Science, or related field. Deep expertise in AI/ML architectures, including LLMs, data platforms, knowledge graphs, and MLOps concepts. Strong understanding of hybrid/multi-cloud architectures, APIs, microservices, and event-driven systems. Excellent … develop enterprise technology strategy and governance frameworks. Preferred Experience Strong experience in a enterprise, solution, or data architecture role, including large-scale AI/ML implementations. Experience evaluating and integrating AI platforms and emerging technologies (e.g. generative AI). Familiarity with enterprise architecture frameworks (e.g. TOGAF) and cloud architecture certifications. ...

data platforms and cloud-based solutions. Contribute to CI/CD practices for data engineering and platform deployment. Enable the integration of AI/ML capabilities to enhance data-driven outcomes. Required Skills & Experience Strong hands-on experience with Azure Data Factory and Azure Databricks . Advanced proficiency … knowledge of Azure cloud services within a data engineering context. Experience implementing and managing CI/CD pipelines . Familiarity with integrating AI/ML workflows into data platforms. Strong problem-solving skills and ability to work in complex data environments. Preferred Qualifications Experience leading or mentoring data engineering teams. ...

execute the AI product strategy aligned with business goals and regulatory requirements in wealth management. Identify high-impact use cases for AI/ML, such as portfolio optimization, personalized client insights, risk profiling, and automation of advisory workflows. Collaborate cross-functionally with engineering, data science, compliance, UX, and commercial teams … Required Experience & Skills: 4–7+ years of product management experience, ideally within fintech, wealth management, or financial services platforms. Strong understanding of AI/ML concepts and experience working with data science teams. Familiarity with investment products, portfolio management, and client advisory processes. Proven track record of launching data-driven ...

including research copilots, RAG systems, workflow automation, data enrichment, and deal intelligence tooling Ingest, clean, and analyse external datasets through scripts, pipelines, and lightweight ML components Integrate third-party APIs, datasets, scraping frameworks, and internal systems such as CRM and deal flow platforms Rapidly prototype MVPs, validate value with … systems Guide and coach the investment team on the latest tools, processes Skills and Experience: 5+ years in software engineering, applied AI engineering, ML engineering, or forward deployed roles Strong Python Experience building and deploying LLM applications (OpenAI, Anthropic, Gemini, etc.) Deep familiarity with RAG methodologies, embeddings, and vector databases ...

POWER BI DEVELOPER Up to £50,000 | Leicester (Hybrid) | Finance Team THE COMPANY A leading UK organisation investing heavily in modern analytics and building gold standard data infrastructure. Operating at scale with sophisticated finance operations ...

Lead Deep Learning Researcher – Hedge Fund I’m partnered with an industry-leading Hedge Fund that, after nearly 20 years of pioneering innovation and hiring some of the brightest minds in the market, is now looking to further its success through the latest advancements in deep learning . … NeurIPS, ICML, or ICLR. Hands-on experience applying deep learning models to complex, ideally temporal or financial, datasets. Expertise in Python and modern ML frameworks (TensorFlow, PyTorch, JAX, etc.). Prior experience in a commercial or industry setting post-PhD, ideally in a similarly data-driven domain. Why Apply ...

Innovation Software Engineer (Numerical Modelling, AI/ML, C++/Python) Guildford, Surrey (On-site) £65000 - £100,000 + 25% Bonus, 10% Pension, Private Medical. - A Masters or PhD Degree in Computing or STEM disciplines. - Can work full-time, 5 days a week in Guildford in the office click apply ...

fast-paced, evolving environments. Desirable Proficiency in SQL for data extraction and transformation. Knowledge of supply chain/logistics KPIs. Familiarity with AI/ML tools and languages, including Python, R, Azure ML, or AWS SageMaker. Why Ligentia? Why now? Accelerated growth in one of the most dynamic industries ...

huge + Experience of completing projects to deadline. Experience in Deep Learning and DL frameworks such as Tensorflow/Pytroch Deploying ML models Good command of Python and use of libraries for data science – scikit-learn, NumPy, matplotlib Relation database experience with data manipulation skills in SQL and large ...