1 to 25 of 63 Permanent Machine Learning Jobs in the West Midlands

seeking an experienced Machine Learning Engineer to support a Financial Services organisation on an initial 6-month contract, working on production-grade ML systems that operate in regulated, high-volume environments. This role is ideal for someone comfortable taking models from research through to deployment, with a strong … into production within a Financial Services environment Collaborate closely with Data Scientists, Software Engineers, Risk, and Product teams Build and maintain end-to-end ML pipelines (training, validation, inference, monitoring) Ensure models meet requirements around performance, resilience, and explainability Contribute to MLOps best practices, model governance, and technical standards Support ...

iteration Work closely with product, engineering, and non-technical stakeholders to embed AI into real workflows Improve the scalability, reliability, and performance of existing ML systems Review code and architecture, setting a high engineering standard Analyse data and run ad-hoc studies to generate actionable insights into marketing effectiveness What … Learning Engineer/AI Engineer in a product-led environment Advanced Python skills and hands-on experience with PyTorch, TensorFlow, or similar ML libraries Experience deploying and maintaining ML models in production Solid software engineering fundamentals (algorithms, data structures, clean code) Comfortable working with Docker and containerised systems ...

looking for an experienced Senior Machine Learning Engineer to lead the design and production integration of ML into an established live trading system and drive its next phase of development. Building on our early ML research and prototypes, you will design, build, deploy, and operate production ML components … making and execution quality with measurable financial impact. This is an excellent opportunity for someone who enjoys autonomy, technical responsibility, and building production-grade ML systems where reliability, latency, and real-world feedback loops matter. What You'll Do Lead the design and production integration of ML components into ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

most value. This role combines hands-on technical work with the opportunity to influence strategy, tooling and ways of working, particularly around AI and ML adoption. You'll be involved across the full lifecycle, from problem definition and experimentation through to deployment, governance and ongoing optimisation. What … data team Collaborating with Product and Engineering on strategic AI-driven initiatives Identifying and developing high-impact use cases for data science and ML Helping define ML lifecycle standards, documentation and governance Communicating insights and model outputs clearly to technical and non-technical stakeholders What we're looking for Essential ...

Permanent Remuneration (UK – Remote): £81–108k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We are backed by prominent … institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend services and infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have ...

seeking a hands-on Machine Learning Senior Staff Engineer to lead cross-functional teams building and deploying cutting-edge LLM and ML systems. In this role, you'll drive the full lifecycle of AI development — from research and large-scale model training to production deployment — while mentoring … that break the models and navigating the intersection of research, engineering, and product delivery. Roles & Responsibilities: Lead and mentor a cross-functional team of ML engineers, data scientists, and MLOps professionals. Oversee the full lifecycle of LLM and ML projects — from data collection to training, evaluation, and deployment. Collaborate with ...

Automating Machine Learning workflows (training → deployment) with AWS & GitOps Deploying LLMs using Kubernetes & Docker Building infrastructure with Terraform & Helm Monitoring and maintaining ML models with performance alerts and dashboards Supporting CI/CD for ML pipelines Developing production-grade APIs (REST/gRPC) to serve models Collaborating with … DevOps or MLOps roles (ideally in AWS environments) Hands-on with Docker, Kubernetes, and Terraform Strong scripting skills in Python or Bash Familiar with ML lifecycle tools, model monitoring, and versioning Exposure to tools like KServe, Ray Serve, Triton, or vLLM a big plus Bonus Points: Experience with observability frameworks ...

limit and you'll help us get there. Key Responsibilities Stay up to date with the state-of-the-art in Artificial Intelligence and Machine Learning, and apply it to the problem of Enterprise Vibe Coding; Make use of techniques such as In-Context Learning (Prompt Engineering … practice in a large-scale project. Qualifications/What You Need To Succeed Ph.D. or MSc degree in Computer Science, Electrical Engineering, Artificial Intelligence, Machine Learning, or related technical fields is highly valued. 7+ years of work experience in Machine Learning and AI Engineering roles, preferably ...

tasks, make real-time decisions, and adapt to changing environments with minimal human intervention. - Act as the technical expert for Computer Vision AI and ML, focusing on algorithm models, data curation, and retraining processes. - Collaborate with cross-functional teams, including software, hardware, and prototyping specialists, to deliver integrated solutions. - Plan … schedule, and execute research and development agendas in conjunction with the AI/ML Team Lead. - Stay ahead of industry trends and advancements, ensuring the company remains competitive and at the forefront of technology. - Support the definition of project requirements and deliverables, while ensuring timely and high-quality execution. What ...

scale securely as requirements evolve. Key Responsibilities Design, develop, and maintain AI-enabled software components and back-end services Implement, optimise, and support machine learning models for real-world production use Build and integrate APIs to enable AI functionality across systems Work with structured and unstructured data, including … modern language (e.g. Python, JavaScript/TypeScript, C#, or similar) Practical experience developing or integrating AI and machine learning solutions Familiarity with ML frameworks such as TensorFlow, PyTorch, scikit-learn, or equivalent Experience building and consuming RESTful APIs and working with cloud-hosted services Understanding of data pipelines ...

Title: AI Engineer (Digital Health)/Machine Learning Engineer/AI Lead/Generative AI Engineer/Aritificial Intelligence Level: Mid-Level Location: United Kingdom (Hybrid working) Salary: £60,000£90,000 + benefits Employment Type: Permanent The Opportunity We are a Specialist Digital Health Consultancy working with … quality. What Were Looking For AI & Engineering Experience Around 25 years experience in software engineering, with at least 12 years working with AI/ML or Generative AI in a commercial setting. Solid Programming Foundations Strong skills in Python and/or JavaScript , with a good understanding of APIs, data ...

Robotics Engineer, you will have the opportunity to design and implement advanced perception systems, combining robotics fundamentals with ground breaking machine learning (ML), artificial intelligence (AI), and computer vision techniques. This role offers an inspiring work environment where your expertise will contribute to ground breaking advancements … systems, focusing on object detection, tracking, and classification. Develop and optimise sensor fusion techniques, integrating data from cameras, LiDAR, radar, and IMU sensors. Create ML/AI models for scene understanding, semantic segmentation, and obstacle detection to enhance robotic decision-making. Integrate autonomous navigation solutions using the ROS2 Navigation Stack ...

Leading a team across engineering and integration - Work to ensure the data infrastructure of the business effectively supports analytics, AL, machine learning ML and reporting - Designing of data pipelines, ETL, ELT processes and architecture - Work with internal stakeholders and multiple 3rd parties to seamlessly integrate systems, platforms ...

Financial Crime, Data & AI-driven SaaS company helping organisations detect, prevent, and manage financial crime at scale. Our platform combines advanced data, AI and machine learning to deliver market-leading solutions across: Financial Crime Risk Management Anti-Money Laundering (AML) & Counter-Terrorist Financing (CTF) KYC & Risk Assessment Watchlist … from anywhere Competitive base salary + uncapped commission High-growth SaaS business in a mission-critical market Opportunity to sell cutting-edge AI and machine learning technology Clear career progression and leadership opportunities Collaborative, ambitious, and supportive culture ...

Azure Databricks Microsoft SQL Server Lakehouse, Delta Lake Data Warehousing ETL Database Design Python/PySpark Azure Blob Storage Azure Data Factory Desirable: Exposure ML/Machine Learning/AI/Artificial Intelligence ...

Replit, Bolt • APIs & Microservices: RESTful APIs, GraphQL, microservice architectures • Cloud & DevOps: AWS, Azure, or GCP; Docker; CI/CD pipelines • Data Integration: Products integrating ML/AI models, databases, BI tools • UI/UX Awareness: Collaborate on interfaces, data visualisation, user journeys • Other: Version control (Git/GitHub), testing frameworks … facing products • Proven experience in rapid prototyping, innovation labs, or product R&D teams • Commercial experience with AI enabled products using GenAI (LLMs) or Machine Learning • Familiarity with compliance, retail, FMCG, or operational intelligence systems (advantageous) • Prior startup or SME experience where engineers own end-to-end delivery ...

Launch Your UK Career: AI/ML Assurance Analyst Internship at London Success Academy (Remote) (10 Positions) Location: Remote | Duration: 4 Weeks | Start Dates: Feb 2026 Limited Spots – Apply Now to Secure Your Place! Are you ready to jumpstart your career in AI, data, and analytics? Gain real-world exposure … expert mentorship, and an official UK Experience Certificate while working on AI/ML-driven business platforms. London Success Academy (LSA) is offering a structured 4-week Expert-led, unpaid, Work Experience Internship designed to equip aspiring professionals with practical skills in AI assurance, data quality analysis, and model risk ...

Launch Your UK Career: AI/ML Assurance Analyst Internship at London Success Academy (Remote) (10 Positions) Location: Remote | Duration: 4 Weeks | Start Dates: Feb 2026 Limited Spots – Apply Now to Secure Your Place! Are you ready to jumpstart your career in AI, data, and analytics? Gain real-world exposure … expert mentorship, and an official UK Experience Certificate while working on AI/ML-driven business platforms. London Success Academy (LSA) is offering a structured 4-week Expert-led, unpaid, Work Experience Internship designed to equip aspiring professionals with practical skills in AI assurance, data quality analysis, and model risk ...

Hireshire Hireshire is a modern staffing and talent acquisition platform helping leading organizations find exceptional talent. We’re now expanding into the AI/ML and Cloud Engineering space and are looking for curious, driven, and analytical minds. Role Overview As a DevOps Engineering Intern at Hireshire, you will collaborate ...

Provide data services that empower business teams with reliable, timely, and actionable insights. • Ensure data accessibility and usability for reporting, analytics, and AI/ML initiatives. • Develop self-service data solutions, enabling business users to leverage data effectively. Person Specification • A role model, able to always demonstrates and uphold Airband ...

collaborate with cross-functional teams to deliver high-impact solutions. You will be driving the development and troubleshooting of backend systems and AI/ML models. You will be driving the delivery of document data extraction and unstructured data processing capabilities. What you need to have to succeed in this … that would be nice to see: Experience with cloud platforms. Familiarity with DevOps practices and CI/CD pipelines. Industry experience delivering AI/ML solutions to production - particularly including hands on experience with generative AI and prompt engineering. ...

well tested code across the stack. Helping establish engineering standards, tooling and best practices in an early stage environment. Collaborating with Ai/ML components and backend services to integrate intelligent workflows into the product. Debugging, optimizing and improving performance and reliability across the system. Requirements for this role 5+ … environment with a high level of autonomy and ownership. Strong problem solving skills and a pragmatic product focused mindset. An interest in AI and machine learning. Nice to have Experience with or an interest in Python. Experience with setting up infrastructure on AWS (or a similar platform). ...