1 to 25 of 96 Machine Learning Jobs in the Midlands

Tech Companies Talent Hero helps UK-based professionals land remote roles with innovative US businesses. We're hiring Machine Learning Engineers to build and deploy production-grade ML systems that solve real-world problems at scale. If you're experienced with model design, training, and deployment and want to work globally from home we want to hear from … you. What Youll Do: Build and deploy machine learning models to address complex business needs Develop scalable data pipelines and feedback loops for model training Integrate ML into production systems alongside US product and data teams Optimise model performance for accuracy, speed, and cost Run experiments, A/B tests, and validate approaches statistically Use tools like Python … in Computer Science, AI, Machine Learning, or related field 1+ year of experience in a Machine Learning Engineer or similar role Strong Python skills and ML framework knowledge (TensorFlow, PyTorch, etc.) Hands-on experience deploying models into production environments Solid grasp of algorithms, data structures, and statistical modelling Familiarity with cloud platforms (AWS, GCP, Azure) Bonus More ❯

Machine Learning Engineer Join our client in beautiful Coventry, United Kingdom, as a Machine Learning Engineer . This is a fantastic chance to contribute your expertise in engineering to a dynamic team dedicated to pushing the boundaries of technology. The ideal candidate will have proven experience in engineering, with a strong understanding of machine learning … permanent role that offers personal and professional growth, this could be the perfect fit for you. If you are ready to make a difference and advance your career in machine learning, we welcome your application! Note : Looking for only UK Nationals and who can start with 4-6 Weeks Notice More ❯

AI-powered capabilities. As a Senior Machine Learning Engineer, you will leverage your engineering skillset and research expertise to tackle complex problems in building comprehensive AI/ML solutions. Your involvement will span from data preparation at a massive scale to model training and evaluation, culminating in the release of ML-based automation capabilities as reliable, scalable, and … utilized by millions of Autodesk Fusion users on a daily basis and made available on Autodesk Platform Services, Autodesk's global developer ecosystem. Your extensive knowledge of AI/ML technology design, development, and deployment, coupled with solid cloud computing experience, will be crucial for successfully implementing cloud-based AI-powered solutions. You will guide the team in determining methods … technologies, and best practices, informed by the latest AI/ML research and industry developments. Additionally, you will have a solid understanding of non-functional requirements and governance models for cloud-based AI systems, such as SOC2 and ISO 42001. Your ability to efficiently handle the demands of a dynamic, fast-paced research and development environment will be key to More ❯

Airways as a Data Scientist in our cutting-edge Operations Decision Support (ODS) product team. This full-stack role sits at the heart of our transformation, combining data science, machine learning, and optimisation to build industrialised decision-support software. If you're passionate about solving real-world problems through intelligent, data-driven solutions and thrive in a collaborative … agile environment-this is your opportunity to make a real impact. What you'll do: Design and implement machine learning and optimisation models that power decision-support tools across British Airways operations. Collaborate with software engineering teams, product & change teams to turn their models into industrialized products that are used by the airline every day to make better … degree in Data Science, Machine Learning, Operational Research or a related field, or 2+ years of relevant industry experience (required). 0-2 years working on production ML or optimisation software products at scale (required). Experience developing industrialised software products or working in relevant industries such as transportation, airlines, or logistics (preferred). Ready to bring the More ❯

brand values in everything you do. A collaborative, pragmatic approach to working in cross-functional Agile squads. Your experience: Expert-level fluency in Python (required) with deep experience in ML, OR, and DS libraries (e.g. scikit-learn, pandas, numpy, Gurobi). Strong knowledge of machine learning and optimisation techniques-including supervised, unsupervised learning, and operations research methods. … assess trade-offs, and select effective modelling approaches. Excellent communication skills and the ability to influence both technical and non-technical stakeholders. A track record of delivering production-grade ML/optimisation solutions that create tangible business impact. Qualifications: Master's degree or above in Data Science, Machine Learning, Operational Research or a related field, or 6+ years … of highly relevant industry experience (required). 4-6 years working on production ML or optimisation software products at scale (required). Experience developing industrialised data science software products (required). Domain knowledge in transport, operations, or network optimisation (preferred). Are you ready to lead the future of data-powered decision-making at the heart of aviation? Apply now More ❯

Research Fellow in Machine Learning and Spatial Statistics, Warwick, UK Jan 16, 2018 University of Warwick; joint post between the Departments of Computer Science and Statistics. Fixed-term contract for 24 months. The start date to be agreed with the successful candidate. Salary £29,799 - £38,833 per annum. We are seeking to recruit a postdoctoral research fellow … to work in the area of machine learning and spatial statistics. You will be expected to perform high quality research under the supervision of Dr. Theo Damoulas and Prof. Mark Steel, as part of the Turing-Lloyds Register Foundation funded project 'Air Quality Sensor Networks'. This project is likely to involve hierarchical Bayesian models, nonparametric Bayesian inference … graphical models, active learning, experimental design and issues in spatio-temporal inference such as non-stationarity and non-separability. The expectation is that you will produce breakthrough research results in the areas of sensor placement, high-resolution space-time forecasting, dynamic modelling, and contribute to publishing these results in top rated venues. You will possess a PhD or an More ❯

modernise tech stacks and data pipelines of well established StarMine Quant models in Python to provided specifications, and to build brand-new quantitative/predictive models with help of machine learning algorithms working in collaboration with our data science and Research teams. Build data pipelines to break down complicated calculations into stages. Main Responsibilities/Accountabilities: We engage … Kotlin. Strong problem solving, algorithmic thinking and coding skills. Able to create performant SQL queries and general database knowledge. Experience in development of sophisticated distributed systems. Positive demeanour about learning new skills and technologies. Dedicated, goal-oriented teammate with good interpersonal skills. Ability to work in highly agile, Sprint-based team environment. Desired, but not crucial skills: Building and … Podman, Kubernetes. Experience with Infrastructure-as-Code tools like Terraform. Proficient with Git. Proficient with CI/CD automation using GitLab or similar. Azure Fabric experience Vision to use machine learning and AI algorithms to the data Education/Certifications: A relevant degree or equivalent experience is desirable, but the right approach to work is just as important. More ❯

pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets . RESPONSIBILITIES … keep our firm's position on the cutting edge. Or, join our core engineering teams, and elevate all of our businesses by providing reliable, scalable platforms for data engineering, machine learning, networking, developer tooling, collaboration and more. Innovate with UI/UX designers, data scientists, cloud engineers, and more in a collaborative, agile environment where your enthusiasm to More ❯

fast-growing financial services organisation. This is an opportunity to join a forward-thinking team focused on driving innovation across the full customer lifecycle using advanced data science and machine learning techniques. About the Role: As a Lead Data Scientist, you will play a pivotal role in developing and enhancing data-driven solutions across fraud prevention, marketing strategy … identify opportunities for process improvement through data. Key Skills & Experience: Proven experience delivering end-to-end data science solutions in a commercial environment. Strong technical expertise in predictive modelling, machine learning, and AI. Proficient in R, Python, SQL, and familiar with visualisation tools like Power BI. Excellent problem-solving, communication, and stakeholder management skills. Experience in applying Gen … ability to work both independently and collaboratively within a team of ~5. A high level of discretion and professionalism when handling sensitive data. A mindset focused on innovation, continuous learning, and delivering outcomes. Please be aware this advert will remain open until the vacancy has been filled. Interviews will take place throughout this period, therefore we encourage you to More ❯

The AI Engineer Level 6 programme helps businesses embrace AI-driven transformation by developing specialists with the skills to design, build, and deploy Generative AI and Machine Learning solutions. Role Assess client needs and implement tailored AI-driven workflows using tools like ChatGPT, Claude, and Botpress. Automate business processes with platforms like Zapier to enhance efficiency. Troubleshoot, optimise … of AI engineers are required. The AI Engineer programme helps businesses embrace AI-driven transformation by developing specialists with the skills to design, build, and deploy Generative AI and Machine Learning solutions. AI Engineer apprentices will empower organisations to: Drive AI innovation Optimise business processes Enhance decision-making The AI Engineer programme integrates live and online workshops with … self-paced learning, employing a guided discovery approach for individual learner contexts. Learners are assigned a Digital Learning Consultant (DLC) for personalised coaching and support. These specialists ensure their successful progress, wellbeing, and readiness for assessments. 90% of QA apprentices secure permanent employment after completing: this is 20% higher than the national average. Apprenticeship Standard Data scientist (integrated More ❯

Engineer to join our central engineering team, helping to develop and enhance digital capabilities across a global engineering organisation. This role will focus on applying software, automation, AI/ML, and digital tools to improve engineering processes, product development, and analysis workflows. We are seeking a specialist who can combine programming, engineering knowledge, and data-driven methods to deliver innovative … software tools and automation solutions using Python, C, C++, or C#. Apply Model-Based Design (MBD) and Model-Based Systems Engineering (MBSE) principles to streamline engineering workflows. Integrate AI, machine learning, and data science techniques to support design optimisation, robust design, and engineering analytics. Contribute to cloud-based development (Microsoft Azure) , REST API integrations, and DevOps-driven orchestration … Bachelor's degree in Mechanical, Aerospace, Electrical Engineering , or related discipline. Strong software development skills (Python, C/C C# advantageous). Experience with data science, basic statistics, or machine learning . Understanding of systems engineering principles and product introduction workflows. Excellent communication skills and proficiency in Microsoft Office tools . Desirable Skills: Experience with Model-Based Design More ❯

Engineer to join our central engineering team, helping to develop and enhance digital capabilities across a global engineering organisation. This role will focus on applying software, automation, AI/ML, and digital tools to improve engineering processes, product development, and analysis workflows. We are seeking a specialist who can combine programming, engineering knowledge, and data-driven methods to deliver innovative … software tools and automation solutions using Python, C, C++, or C#. Apply Model-Based Design (MBD) and Model-Based Systems Engineering (MBSE) principles to streamline engineering workflows. Integrate AI, machine learning, and data science techniques to support design optimisation, robust design, and engineering analytics. Contribute to cloud-based development (Microsoft Azure) , REST API integrations, and DevOps-driven orchestration … Bachelor's degree in Mechanical, Aerospace, Electrical Engineering , or related discipline. Strong software development skills (Python, C/C C# advantageous). Experience with data science, basic statistics, or machine learning . Understanding of systems engineering principles and product introduction workflows. Excellent communication skills and proficiency in Microsoft Office tools . Desirable Skills: Experience with Model-Based Design More ❯

Engineer to join our central engineering team, helping to develop and enhance digital capabilities across a global engineering organisation. This role will focus on applying software, automation, AI/ML, and digital tools to improve engineering processes, product development, and analysis workflows. We are seeking a specialist who can combine programming, engineering knowledge, and data-driven methods to deliver innovative … software tools and automation solutions using Python, C, C++, or C#. Apply Model-Based Design (MBD) and Model-Based Systems Engineering (MBSE) principles to streamline engineering workflows. Integrate AI, machine learning, and data science techniques to support design optimisation, robust design, and engineering analytics. Contribute to cloud-based development (Microsoft Azure) , REST API integrations, and DevOps-driven orchestration … s degree in Mechanical, Aerospace, Electrical Engineering , or related discipline. Strong software development skills (Python, C/C++/C# advantageous). Experience with data science, basic statistics, or machine learning . Understanding of systems engineering principles and product introduction workflows. Excellent communication skills and proficiency in Microsoft Office tools . Desirable Skills: Experience with Model-Based Design More ❯

data set giving one point of truth Clear understand business requirements and propose/implement complete solutions Create easy to understand and clear data visualisations Creation and maintenance of machine learning models Create and undertake testing procedures/policies using test-driven development methodologies Query writing/building System contingency planning and implementations Essential Requirements A mathematics/… computer science background with knowledge of numerous machine learning models - some alternative degrees will be considered Experience with data visualisation tools (Power BI etc.) Exceptional Microsoft Office skills Detail orientation with structured thinking A problem solver with the ability to multi-task A top performer who is comfortable in an unstructured environment which values initiative, creativity, maturity, poise More ❯

Product Managers working closely with stakeholders across Engineering, Business Analysis, Data Science, Data Analytics, and Data Governance. What you'll do Define the Product Strategy for Data Platforms, including Machine Learning & AI, Data Analytics, Data Production, and Governance, and create a product roadmap. Invest in solutions and platforms that enhance data, modeling, reporting, and analytical capabilities. Support and … build consensus with senior stakeholders, keeping them informed. Use data to drive continual growth and process improvements. What we're looking for Experience in translating business opportunities into Data, Machine Learning, and AI products in digital or tech sectors. User-focused mindset with strong commercial skills for ROI optimization. Proven thought leadership and delivery of complex products or More ❯

people, our clients and our communities. Our culture is strategically driven and inspired by a shared long-term vision. It is collaborative and connected, with a focus on continuous learning and mutual support. We are energised by future thinking, driving innovation to achieve better outcomes. We are instinctively generous, actively including and empowering our people. Above all, we are … with Martech technologies and solutions Experience in an agency environment while managing multiple priorities Desirable: Experience with data science for statistical/machine learning models Experience productionising ML pipelines (MLOps) Experience with data visualisation platforms such as Looker Studio (formerly Google Data Studio) COMPANY BENEFITS Croud operates a hybrid working model with a minimum of 2 days a … office Enhanced Primary and Secondary family leave as well as extended Parental Leave and Shared Family Leave Life insurance and income protection Medical Cash Plan Pension Curated 3rd party learning platform as well as access to Croud Campus (our bespoke learning and development platform) IPA Membership Peer to peer recognition scheme 'bonusly' Team off-sites/regular socials More ❯

Senior AI/ML Consultant Application Deadline: 16 July 2025 Department: Analytics Employment Type: Permanent Location: London/Leeds/Birmingham Reporting To: Head of Analytics Compensation: circa £68,000 Description Contract type: Permanent Hours: Full Time, 37.5 hours per week Salary: circa £68,000 depending on experience Location: London, Leeds, or Birmingham offices WFH policy: Employees are required to … Analytics Deadline Note: We reserve the right to close the advert before the advertised deadline if there are a high volume of applications. Role Summary: The Senior AI/ML Consultant plays a pivotal role in defining and developing LCCC's internal AI and machine learning capabilities. Focused on delivering practical, secure, and ethical solutions, the role will … drive innovation that enhances operational efficiency and aligns with LCCC's wider digital strategy. Working directly with business teams, the Senior AI/ML Consultant identifies high-impact opportunities, shapes scalable AI and automation solutions, and leads cross-functional delivery. They own the full solution lifecycle - from problem definition and stakeholder engagement to product strategy, development, and adoption. Acting as More ❯

real-world experience on live projects with all the support you need to succeed. We are looking for someone who already has a strong technical foundation in AI and Machine Learning, whether you’ve gained it through self-study, previous work or hands-on projects and who is ready to apply this to practical, real-world challenges in … a number of potential applicant routes. Do you fall into ANY of the following categories: Technically strong in computer science, AI, data science or related fields. A self-taught ML/AI practitioner with demonstrable personal or professional projects. An early-career technologist looking to gain a formal qualification while working on meaningful, real-world applications. Required skills: Solid foundation … in AI/ML principles (e.g. neural networks, NLP, transformers, speech processing). Hands-on experience with Python and popular ML frameworks (e.g. PyTorch, TensorFlow, Hugging Face). Familiarity with LLM APIs and open-source models (e.g. GPT, Claude, Mistral, Whisper). Familiarity with agentic AI frameworks (LangChain, AutoGen, CrewAI, OpenAI Functions). Interest in human-centred design, service delivery More ❯

Reporting: Create dashboards and reports to communicate insights to non-technical stakeholders. Performance Evaluation Assess the impact of housing initiatives and recommend improvements. Machine Learning Applications Use ML to optimise resource allocation, predict tenant behaviour, and automate processes like arrears risk scoring. Data Governance: Maintain data quality, security, and compliance with GDPR and other regulations. Stakeholder Collaboration Work More ❯

within a fast-evolving SaaS business? We're looking for a Technical Lead within Data Science & Engineering to drive the technical direction of a modern data platform supporting analytics, machine learning and Data-as-a-Service (DaaS) capabilities. In this role you'll combine deep technical expertise with cross-functional leadership mentoring a multidisciplinary team and guiding the … and DaaS solutions Acting as the technical authority across data science and engineering, setting standards for tools, patterns and workflows Leading design and implementation of robust, secure pipelines and ML workflows Collaborating with product, engineering and business teams to define strategy and deliver data solutions that matter Mentoring team members, supporting professional growth and technical delivery Overseeing deployment, monitoring and … ethical use of ML models in production Designing APIs and data interfaces for internal and external consumption Evaluating and adopting new tools to enhance performance, maintainability and scalability What We're Looking For Strong experience in data science, data platform or ML engineering roles including recent experience in a technical leadership or architect-level position Proven track record of building More ❯

simulation frameworks for faster and more efficient optimizations. Proficiency in Python and/or Java is highly desirable, especially for scripting and workflow automation. Experience in data science and machine learning approaches and modelling with integration to Scientific Machine Learning. Expertise in model validation and correlating simulation data with real-world experimental results. Strong problem-solving skills … with the ability to identify issues, analyse root causes, and implement effective solutions. Passion for mentoring and coaching junior engineers, helping to build a culture of continuous learning and improvement. Why join us? Williams Grand Prix Technologies is based at the Williams Racing Campus in Grove, Oxfordshire, a cutting-edge , expansive facility just 30 minutes from Oxford city centre More ❯

partner with commercial managers across Pricing, Sales, and Ecommerce, to develop long-term strategic growth initiatives, and be a critical team member on project implementation. Apply knowledge of statistics, machine learning, programming, data modelling, simulation, and advanced mathematics to recognise patterns, identify opportunities, pose business questions, and make valuable discoveries, leading to prototype development and product improvement. End More ❯

pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets . Goldman More ❯

pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets . Goldman More ❯

pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets . Goldman More ❯