1,126 to 1,150 of 1,288 Machine Learning Jobs in the UK

practical, commercially valuable way. Stack: Python, PyTorch, LLMs, TensorFlow, scikit-learn, MLOps tooling What do you need? Strong experience as an AI Engineer/ML Engineer delivering production systems Hands-on experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) Proven experience deploying models into live environments Strong understanding of data ...

practical, commercially valuable way. Stack: Python, PyTorch, LLMs, TensorFlow, scikit-learn, MLOps tooling What do you need? Strong experience as an AI Engineer/ML Engineer delivering production systems Hands-on experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) Proven experience deploying models into live environments Strong understanding of data ...

evolve infrastructure-as-code and automation for provisioning, orchestration, and lifecycle management Architect and improve CI/CD systems for both infrastructure and ML training workflows Optimize distributed training workloads (scheduling, resource utilization, observability) Partner with ML engineers and researchers to enable efficient experimentation and productionization Lead troubleshooting and resolution … tooling Strong understanding of distributed systems, networking, and system reliability Demonstrated ability to lead large technical initiatives and influence system design Experience supporting ML workloads or training pipelines (PyTorch, TensorFlow, etc.) Nice to have: Experience with multi-cloud or hybrid cloud environments Background in performance optimization for large-scale training ...

Consumer Marketplace/App Department: Product & Insights A leading global marketplace is hiring a Senior Product Analyst to partner with product, engineering, design, and ML teams to shape the future of a mobile-first product used worldwide. What You'll Do Act as the lead data scientist for a core … interpret experiments across the product ecosystem Influence product strategy by connecting insights to business goals Improve datasets, dashboards, and analytical tooling Work closely with ML teams on discovery, ranking, and personalisation initiatives What We're Looking For Expert-level SQL + solid Python for product analytics Hands-on A/ ...

with auth data, payment flows, chargebacks, behavioural signals Transaction Monitoring (AML) Owning system performance. Rule effectiveness, typology coverage, backlog, false positives Working closely with ML models and monitoring frameworks Screening (Sanctions/PEP) Match quality, list coverage, tuning logic, global screening performance Detection Engineering/ML Systems Building monitoring frameworks … typologies and how they translate into detection logic Strong SQL. Complex queries, large datasets, no hand-holding Python for analysis and modelling (pandas, numpy; ML exposure expected) Experience building, tuning, or deploying detection systems (rules and/or models) Ability to think about systems end-to-end. Not just models ...

About BrainLake BrainLake transforms private alternative asset managers into AI native funds. We succeed by providing funds with tailored AI training programmes, a continuous learning platform and building custom workflows and agents for alternative asset professionals in private equity, credit, real estate, secondaries, fund of funds, and family offices. … layer build using the latest models, tools and workflows. Our engineering team handles the BrainLake platform, infrastructure and software engineering needs. Data science or ML research. We use frontier models via API. you will not need to train models. Working Arrangement London-based. In-office is ideal ...

maintain infrastructure-as-code and automation for provisioning, orchestration, and lifecycle management Build and evolve CI/CD pipelines for both infrastructure and ML training workflows Optimize distributed training workloads (scheduling, resource utilization, observability) Ensure high standards of reliability, scalability, security, and monitoring across systems Collaborate with ML engineers … experience with multi-GPU and/or distributed compute environments Experience with GPU scheduling/orchestration (e.g., Kubernetes schedulers - Volcano, Ray, etc.) Experience supporting ML workloads or training pipelines (PyTorch, TensorFlow, etc.) Experience with multi-cloud or hybrid cloud environments Background in performance optimization for training workloads Experience in robotics ...

unpaid sabbatical after 5 years of service Pension and healthcare support (including free eye tests and employee assistance programs) Company-funded training and external learning opportunities Employee discount on company products Interest-free company loan up to £1,000 (after 6 months) Social events, staff incentives, and clear career … ensure alignment with strategic objectives Work with leadership to plan workloads, delegate responsibilities, and manage multiple projects efficiently Explore emerging technologies, including AI & ML, to enhance analytical capabilities (training available) Collaborate with data engineers to support ETL process improvements Whats next? Its easy! Click APPLY now! We cant wait ...

best practices Implementing robust cloud security controls and ensuring compliance with industry standards Collaborating with engineering, DevOps, and data teams to deploy applications and ML pipelines Providing technical leadership and guidance across cloud-related initiatives Evaluating and recommending new cloud services and capabilities What They're Looking For Essential: 5+ … fast-paced, client-facing environments Desirable: Multi-cloud experience (AWS, Azure, GCP) Experience with hybrid cloud/on-prem integration Exposure to AI/ML workloads and data-driven platforms Background in large-scale consulting or transformation programmes What's on Offer Competitive salary and performance-based bonus Private medical ...

maintain a competitive edge, with a particular focus on AI. Provide technical leadership and mentorship to more junior developers, fostering a culture of learning and growth within the team. Ideal profile 7+ years of professional experience in Java development, with a focus on building client facing APIs or platforms … mentoring diverse teams. Knowledge of building applications using AI tooling and frameworks (e.g. LLMs, prompt engineering, vector databases). Experience integrating AI/ML services into backend systems and APIs. Familiarity with AI driven development practices and tools for code generation and testing. Strong proficiency in Java and related frameworks ...

sales, consulting, AI product roles, or AI-focused innovation. Knowledge within the Finance Services or Areospace and Defence sector. Familiarity with AI/ML frameworks, Data platforms, and Cloud ecosystems (Azure, AWS, GCP). Ability to translate complex technical concepts into clear business value. Strong communication and stakeholder engagement skills … emerging AI technologies. Opportunity to shape the future of AI adoptionwithin some of the UKs most impactful industries. Collaborative, forward-thinking environment with continuous learning and development opportunities. ...

roles, or AI-focused innovation. Knowledge of one or more key industries: A&D, Finance, Healthcare, Government, or Life Sciences. Familiarity with AI/ML frameworks, Data platforms, and Cloud ecosystems (Azure, AWS, GCP). Ability to translate complex technical concepts into clear business value. Strong communication and stakeholder engagement … emerging AI technologies. Opportunity to shape the future of AI adoptionwithin some of the UKs most impactful industries. Collaborative, forward-thinking environment with continuous learning and development opportunities. ...

roles, or AI-focused innovation. Knowledge of one or more key industries: A&D, Finance, Healthcare, Government, or Life Sciences. Familiarity with AI/ML frameworks, Data platforms, and Cloud ecosystems (Azure, AWS, GCP). Ability to translate complex technical concepts into clear business value. Strong communication and stakeholder engagement … emerging AI technologies. Opportunity to shape the future of AI adoptionwithin some of the UKs most impactful industries. Collaborative, forward-thinking environment with continuous learning and development opportunities. ...

Python Engineer - AI/ML Automation Location - remote, with occasional trip to Edinburgh or Glasgow when required Duration - 6 months with possible extensions Day rate - circa £520 Outside ir35 We are looking for an experienced Python Engineer to join a forward-thinking agile team focused on building AI-driven automation … integrate solutions into existing digital platforms Support production systems, ensuring performance, reliability, and continuous improvement Contribute to research and development of innovative AI/ML solutions Write clean, maintainable, and well-tested code following best engineering practices Participate in agile ceremonies, code reviews, and collaborative development activities Mentor team members ...

willingness to dive into the details, taking a hands‐on approach to solving product challenges and driving execution. Background in AI/ML, CRO, analytics, personalization, or content management domains is a plus. What’s in it for you? Join an ambitious tech company reshaping the way people build digital … grow in your career Enjoy a full range of virtual and in‐person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties An annual wellbeing stipend to care for your physical, financial, or emotional health A monthly communication phone ...

engineering reusable cloud infrastructure, automating platform provisioning, embedding governance and controls, and enabling high-quality, production-ready GCP services for enterprise AI/ML workloads. Key Responsibilities Design, build, and automate GCP infrastructure using Terraform and Python. Provision and manage cloud environments required for the program, including Production. Develop reusable … templates, and engineering patterns for scalable GCP adoption. Implement cloud services and platform capabilities required to enable Vertex AI APIs and enterprise AI/ML workloads. Build automation for provisioning, configuration validation, compliance checks, operational workflows, and platform integrations. Collaborate with architecture, security, network, IAM, and platform teams to deliver ...

Specialist Microsoft Partner, we specialise in delivering secure, scalable cloud‐native platforms and services, including containerisation, FinOps, modernisation, data platforms and engineering, ML models, and AI integration. Whether organisations are seeking cloud funding, support with their strategy, or a fully managed service, we have the capabilities and solutions to help … Pension plus a salary sacrifice option for even greater savings Employee Assistance Programme Free hygiene products available in the London office Other fun perks Learning budget of £1,000 a year Your own MacBook Pro while you work at Appvia Dog friendly office Wear what makes you comfortable Free ...

Microsoft Azure AI solutions using services such as AI Foundry, Open-AI, and Microsoft Copilot Studio. Apply governance frameworks to ensure responsible AI/ML model deployment. Use Python to automate processes and optimise workflows. Handle large datasets, including data preprocessing, feature engineering, and model evaluation. Lead the agile development … language models, prompt engineering, and RAG implementations. Strong skills in data analytics, MLOps practices, and API development. Knowledge of governance frameworks for AI/ML models. Python expertise for automation. Experience working with large datasets and deploying AI solutions in an agile environment. Desirable familiarity with Docker and Kubernetes. Join ...

GitHub or GitLab Actions. Build and iterate on frontend interfaces using React, Vue, or Next.js within a single-page application architecture. Integrate AI/ML models built with SciPy, Pandas, Scikit-learn, and TensorFlow into production systems. Must have's as Software Developer: Backend: Python, Django, Django REST Framework, Celery … task queue architectures. Eligible to work in the UK. Nice to have's as a Software Development Engineer: Interest or experience in AI/ML or scientific computing. Exposure to the bioenergy, clean technology, or sustainability sectors. Experience in early-stage or scale-up technology environments. This is an excellent ...

GitHub or GitLab Actions. Build and iterate on frontend interfaces using React, Vue, or Next.js within a single-page application architecture. Integrate AI/ML models built with SciPy, Pandas, Scikit-learn, and TensorFlow into production systems. Must have's as Software Developer: Backend: Python, Django, Django REST Framework, Celery … task queue architectures. Eligible to work in the UK. Nice to have's as a Software Development Engineer: Interest or experience in AI/ML or scientific computing. Exposure to the bioenergy, clean technology, or sustainability sectors. Experience in early-stage or scale-up technology environments. This is an excellent ...

working with: Cloud platforms (AWS, Azure, and/or GCP) Application security across the full SDLC Designing and securing multi-tenant architectures AI/ML infrastructure and emerging security challenges Infrastructure as Code (IaC) with embedded security controls What we’re looking for: Strong background in cloud architecture or security … core architectural consideration, including tenant isolation at both application and data layers Hands-on experience with AWS, Azure or GCP Understanding to AI/ML platforms and infrastructure (e.g. model pipelines, serving layers, vector databases, LLM integrations) Strong knowledge of authentication and authorization patterns (OAuth2, OIDC, SAML, JWT, RBAC/ ...

securing multi-tenant systems, including robust tenant isolation Working closely with engineering teams to influence architecture and design decisions Securing modern AI/ML infrastructure (LLMs, pipelines, vector databases) Building and enforcing security within Infrastructure as Code and CI/CD pipelines What they’re looking for: Background in cloud … tooling into CI/CD (SAST, DAST, SCA, container scanning) Familiarity with Terraform or Pulumi and policy-as-code approaches Exposure to AI/ML systems and associated security risks is a strong plus Why this role stands out: Opportunity to influence architecture , not just review it Strong engineering-first ...

junior colleagues and modernising our AI capabilities. The Role Technical Leadership: Act as a senior hands-on practitioner, leading the delivery of analytical and ML workstreams. Modernisation: Take an active interest in emerging tools (including Agentic frameworks and Generative AI ) to strengthen the team's capability. Mentorship: Provide technical guidance … likely have a background in the Public Sector, Government (Grade 7 equivalent), or a highly regulated industry . Essential Experience: End-to-End ML: Proven experience delivering applied data science projects from feature engineering to deployment. Python Mastery: Expert-level Python skills with a focus on code structure, testing ...

.NET Developer, C# 14 - Financial Consultancy - London (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, .NET MAUI, ML.NET, Azure AI, GitHub Copilot, Docker, Kubernetes, .NET Aspire, CI/CD, HTML Living Standard, CSS ...

Role: ML Lead Type: 12 Months Contract Location: London, UK Working Model: Hybrid (2 days per week in office) Payrate: (Apply online only) GBP/day on Inside IR35 on Umbrella The Role: We are seeking an ML Lead to manage our team and spearhead the design and deployment … cutting-edge Agentic Systems and LLM applications. Key Responsibilities: Team Leadership: Manage the ML team and collaborate with data scientists, software engineers, and business stakeholders. LLM & Agent Development: Build autonomous AI agents, implement Retrieval-Augmented Generation (RAG) pipelines, and fine-tune LLMs using PEFT techniques like LoRA. Data Engineering: Design ...