126 to 148 of 148 Machine Learning Jobs in the Midlands

contribute to the design, deployment, and iteration of our next-generation benefits platform features that leverage personalization, experimentation, and AI/ML methods (e.g. agents/LLMs, recommender systems, reinforcement learning) to enhance user experience in a meaningful business domain. Contribute across the tech stack: You'll work …/TypeScript) on the frontend and Python (FastAPI, SQLAlchemy) on the backend, shipping production-ready code and user-facing features in addition to innovative ML work. Live on the cutting edge of AI tooling: You'll help push the boundary of what's feasible with modern AI-powered software development ...

predictive insights — and are seeking an AI Engineer to define and deliver this vision. Job Summary & Purpose Own and drive Akixi's AI and ML strategy — from concept and architecture through hands-on prototyping and deployment — to embed intelligence into Akixi's products and analytics platforms. As the AI Engineer … roadmap. Architect scalable AI solutions integrated into Akixi's SaaS analytics platform. Prototype, develop, and integrate AI-driven components such as chatbots, voice assistants, ML models, and LLM-based analytics. Apply prompt engineering and model-tuning techniques to optimize chatbot and LLM behaviour. Conduct research, proof-of-concepts, and feasibility ...

predictive insights — and are seeking an AI Engineer to define and deliver this vision. Job Summary & Purpose Own and drive Akixi's AI and ML strategy — from concept and architecture through hands-on prototyping and deployment — to embed intelligence into Akixi's products and analytics platforms. As the AI Engineer … roadmap. Architect scalable AI solutions integrated into Akixi's SaaS analytics platform. Prototype, develop, and integrate AI-driven components such as chatbots, voice assistants, ML models, and LLM-based analytics. Apply prompt engineering and model-tuning techniques to optimize chatbot and LLM behaviour. Conduct research, proof-of-concepts, and feasibility ...

insights — and are seeking a Lead AI Engineer to define and deliver this vision. Job Summary & Purpose Own and drive Akixi's AI and ML strategy — from concept and architecture through hands-on prototyping and deployment — to embed intelligence into Akixi's products and analytics platforms. As the Lead … roadmap. Architect scalable AI solutions integrated into Akixi's SaaS analytics platform. Prototype, develop, and integrate AI-driven components such as chatbots, voice assistants, ML models, and LLM-based analytics. Apply prompt engineering and model-tuning techniques to optimize chatbot and LLM behaviour. Conduct research, proof-of-concepts, and feasibility ...

insights — and are seeking a Lead AI Engineer to define and deliver this vision. Job Summary & Purpose Own and drive Akixi's AI and ML strategy — from concept and architecture through hands-on prototyping and deployment — to embed intelligence into Akixi's products and analytics platforms. As the Lead … roadmap. Architect scalable AI solutions integrated into Akixi's SaaS analytics platform. Prototype, develop, and integrate AI-driven components such as chatbots, voice assistants, ML models, and LLM-based analytics. Apply prompt engineering and model-tuning techniques to optimize chatbot and LLM behaviour. Conduct research, proof-of-concepts, and feasibility ...

insights, this role offers genuine impact and ownership. THE COMPANY They are a young but highly ambitious data consultancy specialising in data engineering and machine learning. Their focus is helping businesses with recurring revenue models unlock the full value of their data, with a strong presence across investment-backed … infrastructure, ETL pipelines and automation workflows. Creating centralised, well-structured data environments from unstructured sources. Advising clients on how to evolve towards predictive and machine learning capabilities. Staying hands-on where needed while setting long-term technology direction. SKILLS AND EXPERIENCE The successful Head of Data and Infrastructure ...

music and investment-led organisations use their data. The Company They are a young and ambitious data consultancy focused on data engineering, automation, and machine learning. Their clients span private equity backed organisations and the music industry, helping them turn fragmented, manual processes into scalable, data native environments. With … based workflows. • Consulting mindset with the ability to run workshops and engage with senior stakeholders. • Experience leading, mentoring, or growing teams. • Exposure to machine learning or predictive use cases is beneficial. • Experience in the music industry is a bonus but not essential. What They Offer • The opportunity ...

people to buy, sell and remortgage their home. They provide our clients with a stress-free online experience, underpinned by our process automation and machine learning platform, and delivered through our wholly owned English law firm. Their revenue has tripled year-on-year, and they’ve carved ...

RBAC governance frameworks. Strong problem-solving skills and a structured, analytical mindset. A background in Facilities Management or Property would be desirable. Exposure to ML lifecycle and deployment, ideally with Azure ML or similar platforms. What’s in It for You: Work in a growing data team with a meaningful ...

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 ...

based health and wellbeing organisation is hiring a Data Scientist to build and deploy production ML and GenAI systems. The role is hands-on and end to end, covering data preparation, model development, and deployment across traditional ML and LLM-based use cases. You will work on real production problems … through to live deployment. You will collaborate closely with other data scientists, data engineers, and DevOps, with the freedom to shape how GenAI and ML are used across the platform. Tech stack: Python PyTorch or TensorFlow scikit-learn Spark Kafka Databricks LangChain and RAG-based GenAI systems Cloud-native Azure ...

involved in the following: Own the execution of the engineering roadmap across all core products and drive architectural decisions for distributed data processing, ML pipelines and modern web systems. Ensure systems scale to support large datasets and evolving GenAI workloads. Champion engineering excellence including testing, observability, documentation and incident response … stability in fast-moving product areas. SKILLS AND EXPERIENCE The successful Head of Engineering will have the following skills and experience: Confidence operating across ML delivery, GenAI and distributed data. Cloud experience - ideally AWS. Understanding of Spark, Databricks or similar data technologies Knowledge of modern web (TypeScript or React ...

rather than maintain legacy platforms, this role offers exactly that. THE COMPANY They are a young, fast-growing consultancy focused on data engineering and machine learning. Backed by a clear vision and strong funding runway, they partner with organisations to modernise manual, fragmented data processes. Their work spans industries … Kinesis. Transformation experience using dbt, Spark or Databricks. Confidence working directly with clients and engaging in technical discussions. Exposure to dashboards, analytics, ML or LLM concepts is beneficial, but not essential. BENEFITS The successful Principal Data Engineer will receive the following benefits: Salary between £80,000 - £90,000 - depending ...

hands-on role) Align technical delivery with business goals through close collaboration with stakeholders Mentor and support developers, fostering a culture of learning and improvement Maintain high standards for code quality, scalability, and team communication What You’ll Bring 7+ years’ experience in software engineering, including recent time … thoughtful approach to system design, security, and performance at scale Great communication and stakeholder engagement skills Bonus points for experience with AI/ML tools or data-led platforms Tech Stack Overview Backend: NestJS/Node.js/TypeScript Frontend: Vue 3/TypeScript Cloud: AWS Databases: PostgreSQL/MongoDB Tools ...

quantitative analysis and data storytelling to uncover user behaviour and inform product strategy Design and support experiments, generate hypotheses, foster continuous learning Define and align key metrics with stakeholders, ensure data accuracy across teams Build self-serve dashboards and data tools for quick access to core insights Conduct deep … Python (for exploratory analysis, notebooks) BI Tools: Lightdash/Looker Version Control: Git Analytics: GA, product analytics tools, web tracking Some exposure to basic ML elements (exploratory modelling) WHAT YOU NEED Essential: Extensive experience working with data in an analytical fashion in a digitally native tech environment Consumer tech ...

.NET Developer - .NET 10.0, C# 14, Blazor, Azure - Worcester (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 ...

scale while working on genuinely complex technical challenges. You'll own the engineering roadmap across all products, driving architectural decisions for distributed data processing, ML pipelines, and modern web systems that handle massive datasets for enterprise clients. THE COMPANY: This is a business built on innovation, stability, and genuine technical … excellence. Recently recognized for cutting-edge GenAI data work, they're operating at the absolute intersection of large-scale distributed systems, ML, and the rapid evolution of search technology. THE ROLE: Own and execute the engineering roadmap Drive architectural decisions for distributed data processing, ML pipelines, and web architecture Ensure ...

senior direct reports and developing strong leadership capability Driving engineering delivery, process quality, and technical standards Contributing to architectural decisions across distributed data systems, ML pipelines, and modern web applications Working closely with the C-suite on engineering strategy and org development Embedding AI-driven development workflows (70% of code … build of entirely greenfield products and systems . Key Requirements: Web teams Data engineering teams using distributed technologies (e.g., Spark) Data Science/ML teams Leadership experience over multi-discipline engineering teams Strong soft-skills leadership: coaching, clarity, communication Experience in high-growth, fast-changing environments A passion ...

Full Stack Engineer (Java, React, AI/ML/LLM/SDK) – Cutting-Edge Series B scale up Location: Remote EU - Spain Salary: £70K - £110K About: We are seeking a Full Stack Engineer with a proven track record in building and scaling applications powered by Large Language Models (LLMs). … This role requires deep expertise in Java, React, and modern AI/ML development, including LLM frameworks, SDKs, and retrieval-augmented generation (RAG) systems. Key Responsibilities Design and develop scalable full-stack solutions involving both frontend (React/TypeScript) and backend (Java). Build and optimise AI/ML pipelines ...

level consultancy and first hand engineering expertise to modernise High-Performance Computing (HPC) environments with a focus on containerisation of HPC and HPC/ML workloads, cluster optimization, and MPI-aware workflows. Responsibilities include assessing the existing HPC infrastructure, advising on best-practice for container strategies, and delivering technical recommendations … Conduct rapid reviews of existing HPC infrastructure, including Beowulf clusters, Slurm job schedulers, workflow execution patterns, and key use cases. Analyze current HPC/ML workloads and identify performance constraints, containerization opportunities, and runtime optimization options. HPC Containerization Strategy Produce a strategy for MPI-optimized container images using tools such ...

high-level consultancy and firsthand engineering expertise to modernise High-Performance Computing (HPC) environments with a focus on containerisation of HPC and HPC/ML workloads, cluster optimization, and MPI-aware workflows. Responsibilities include assessing the existing HPC infrastructure, advising on best-practice for container strategies, and delivering technical recommendations … Conduct rapid reviews of existing HPC infrastructure, including Beowulf clusters, Slurm job schedulers, workflow execution patterns, and key use cases. Analyze current HPC/ML workloads and identify performance constraints, containerization opportunities, and runtime optimization options. HPC Containerization Strategy Produce a strategy for MPI-optimized container images using tools such ...

high-level consultancy and firsthand engineering expertise to modernise High-Performance Computing (HPC) environments with a focus on containerisation of HPC and HPC/ML workloads, cluster optimization, and MPI-aware workflows. Responsibilities include assessing the existing HPC infrastructure, advising on best-practice for container strategies, and delivering technical recommendations … Conduct rapid reviews of existing HPC infrastructure, including Beowulf clusters, Slurm job schedulers, workflow execution patterns, and key use cases. Analyze current HPC/ML workloads and identify performance constraints, containerization opportunities, and runtime optimization options. HPC Containerization Strategy Produce a strategy for MPI-optimized container images using tools such ...

high-level consultancy and firsthand engineering expertise to modernise High-Performance Computing (HPC) environments with a focus on containerisation of HPC and HPC/ML workloads, cluster optimization, and MPI-aware workflows. Responsibilities include assessing the existing HPC infrastructure, advising on best-practice for container strategies, and delivering technical recommendations … Conduct rapid reviews of existing HPC infrastructure, including Beowulf clusters, Slurm job schedulers, workflow execution patterns, and key use cases. Analyze current HPC/ML workloads and identify performance constraints, containerization opportunities, and runtime optimization options. HPC Containerization Strategy Produce a strategy for MPI-optimized container images using tools such ...