1 to 25 of 628 Machine Learning Jobs in the UK excluding London

services and deliver value to its clients. Description Senior Machine Learning Engineer - London This role focuses on training custom models, building robust ML pipelines, and deploying systems at scale from research experimentation through to monitored production services. Design, train, and optimise machine learning models for audio … tasks such as speaker diarization, automatic speech recognition (ASR), and voice activity detection. Build and maintain training and inference pipelines using PyTorch, and related ML frameworks Source, curate, and prepare training datasets; implement preprocessing, augmentation, and validation workflows. Run structured experiments, evaluate model performance, and iterate based on measurable results ...

title: Senior Machine Learning Research Engineer Salary: £64,490 - £86,255 Location: Cambridge - Triangle/Hybrid (2 days per week in the office) Contract: Permanent Hours: Full Time (35 hours per week) Shape the future of AI-powered learning solutions with Cambridge University Press & Assessment, a world … solutions in production environments. Strong track record of successfully translating academic research into real-world applications and products. Ability to estimate suitability of candidate ML, NLP, LLM, and GenAI technologies for specific scenarios, estimate the time, cost and outcomes of different solutions, and apply effective risk management to ensure prompt ...

Data Scientist/Machine Learning Engineer Join our team as a Data Scientist/Machine Learning expert in the Analytics department within the business services industry. This permanent position, based in London, offers an opportunity to apply advanced data science techniques to deliver actionable insights. Client … Learning expert should have: A strong academic background in data science, computer science, mathematics, or a related field. Hands-on experience with AWS ML stack (SageMaker, Lambda, Redshift). Proven ability to design and implement machine learning algorithms and models. Proficiency in Python, SQL, and ML libraries ...

production-ready solutions within a short timeframe. Key Responsibilities Design, develop and optimise machine learning models using Python Train and validate traditional ML algorithms on structured datasets Apply appropriate evaluation metrics and performance tuning techniques Translate business requirements into robust ML solutions Deploy or hand over trained models … development Proven experience working with traditional machine learning models (e.g. regression, classification, clustering, ensemble methods) Demonstrable experience training, validating and applying custom ML models Strong understanding of core Machine Learning concepts (feature engineering, overfitting, bias/variance trade-off, cross-validation, model evaluation) Experience working with ...

reliability, and performance Partner closely with data scientists to turn experimental models into well-engineered, production-ready systems Develop and maintain end-to-end ML pipelines, including feature engineering, training, evaluation, versioning, monitoring, and automated retraining Contribute to MLOps capabilities, including CI/CD pipelines, model registries, infrastructure automation … fairness analysis, and performance optimisation Collaborate with data engineers and architects to enhance data quality, data flows, and platform capabilities Lead experimentation using modern ML frameworks to assess new algorithms and technologies and make recommendations on adoption Support model governance processes, ensuring compliance with internal standards, documentation, transparency, and regulatory ...

model capability. THE ROLE As a Staff Machine Learning Engineer you will... Lead the design, development, and deployment of end-to-end ML solutions. Architect scalable ML systems and pipelines that integrate seamlessly with cloud infrastructure. Mentor engineers, championing best practices across coding, experimentation, and MLOps. Collaborate with … Product and Engineering teams to define priorities and model strategy. Apply deep learning, NLP or classical ML techniques to real-world, high-impact problems. Uphold responsible AI principles across model development and evaluation. YOUR SKILLS & EXPERIENCE The successful Staff Machine Learning Engineer will have: Strong Python skills ...

same! Key Responsibilities: Build, maintain, and productionise machine learning models using PyTorch or similar frameworks. Design and optimise data pipelines for ML inference at scale. Work with large datasets using Big Data tools. Deploy ML workflows using AWS infrastructure . Collaborate with data engineers and product teams … integrate ML solutions into RealityMine’s products. Investigate and troubleshoot customer feedback on data quality and drive model improvements from experimentation . Promote best practices in ML engineering and data quality across the business. Adhere to Company Policies and Procedures with respect to Security, Quality and Health & Safety. AI first ...

Role : Machine Learning Infrastructure Developer Location: Cambridge, UK (Hybrid ) Duration: 12 Months Responsibilities: Create robust, flexible, and scalable machine learning tooling and infrastructure that supports research scientists in leveraging large-scale internal infrastructure (e.g., source control, distributed compute clusters, data storage). Work collaboratively as part … signal processing experience . Experience collaborating closely with research users or internal customers to deliver robust, stable, and scalable tooling. Experience writing scalable ML pipelines or tooling used by research teams. Familiarity with Linux or Windows shell scripting. ...

, and operations research (linear, mixed integer programming, heuristics) Fluent in Python(required) and other programming languages (preferred)with strong skills in applying DS, ML, and OR packages (scikit-learn, pandas, numpy, gurobietc.) to solve real-life problems and visualise the outcomes (e.g. seaborn) Proficient in working with cloud platforms … preferred), code versioning (Git), experiment tracking (e.g. MLflow) Experience with cloud-based ML tools (e.g. SageMaker), data and model versioning (e.g. DVC), CI/CD (e.g. GitHub Actions), workflow orchestration (e.g. Airflow/Dagster) and containerised solutions (e.g. Docker, ECS) nice to have Experience in code testing (unit, integration ...

Junior ML Operations Engineer (Python) Salary: Up to £40,000 depending on experience Location: Manchester - (Hybrid working - currently 40% on site increasing to 60% within 12 months) Ref: J13059 This is an exciting opportunity to build a career in production machine learning within a large scale pricing … will be supported by experienced engineers, exposed to modern tooling, and given the space to build confidence in production machine learning and ML Operations. This role is designed to set strong foundations for long term technical growth. Right to work You must be eligible and authorised to work ...

Machine Learning Engineer - Remote - £50-£70k + excellent benefits We're looking for a skilled Machine Learning Engineer to join a newly established team working on an exciting data platform project. This is a hands-on role where you'll help build and maintain the infrastructure … pipeline code and managing deployments via Azure DevOps (GitHub) What we're looking for from the Machine Learning Engineer: Solid experience in ML Ops, particularly with Azure and Databricks Familiarity with Postgres, Redis, and Snowflake Understanding of Delta Lake Architecture, Docker, and container services Experience building and orchestrating ...

+ benefits Harnham is working with a tech firm in the Private Equity space and hiring a few positions across Data Science, Machine Learning Engineering and Data Engineering. The company have an impressive founding team and hold a strong reputation within the Data & AI and Private Equity space. … They partner with some leading investment firms in deploying AI and machine learning for the sole purpose of creating value. Often working in ambiguous and greenfield environments, you will collaborate with a strong team of technical people across multiple industries to solve complex commercial and data problems, delivering ...

techniques? You could be progressing your career working on real-world problems within a highly successful SaaS tech company that provides AI and ML products for automotive innovators to design better cars faster and achieve greater sustainability through Machine Learning. As a Senior Machine Learning Engineer … build the ML capabilities that power the product, typically you'll collaborate with the research team to productionise ideas that are ahead of the published literature, evaluating and integrating established methods or developing your own algorithms, ensuring reliability and maintainability within a complex, integrated codebase. You'll liaise with clients ...

Data Engineer Key skills: AI to design, develop, and deploy, machine learning and artificial intelligence Experience : 12+ years Location : Waterside, UK Job Type: Permanent (Full time) We at Coforge are seeking “ Data Engineer ” with the following skill-set: We are seeking a highly skilled Data Scientist … deliver scalable, data-driven products. Key Responsibilities Design, develop, and optimize machine learning and deep learning models. Work on AI/ML projects including NLP, computer vision, recommendation systems, and generative AI. Perform data cleaning, feature engineering, and exploratory data analysis (EDA). Build and manage data ...

title: Graduate Machine Learning and AI Engineer Location : Edinburgh Hybrid role working 2 days a week in the office Salary: £30,000 to £38,000 Contract: 12-month fixed term contract Our market-leading financial services client is seeking an a motivated, detail focused Graduate Machine Learning … will also be deploying these artefacts into Kubernetes pods, ensuring scalability, resilience, and proper resource allocation. Key Responsibilities Model Deployment: Take trained AI/ML models and package them into deployable artefacts (e.g., Docker images). Kubernetes Orchestration: Deploy these artefacts into Kubernetes pods, ensuring scalability, resilience, and proper resource ...

Remote - Europe Staff/Lead Machine Learning Engineer We are working with a global languages and translation company. They are focused on designing, developing … deploying cutting-edge machine learning solutions across the company. Responsibilites: Leadership of technical projects Mentoring junior members of the team Architecture of ML solutions Fine tuning LLMs Presenting technical insights Skills: Ability to write and produce production-grade code in Python Experience with TensorFlow, PyTorch and Scikit-learn ...

Applied Science PhD Intern, you will work on cutting-edge challenges in large language models (LLMs), graph-based retrieval, personalization, and scalable machine learning systems. Youll collaborate closely with experienced scientists and engineers to bring innovative research ideas to life through real-world prototypes and high-impact … algorithms at scale Excellent communication skills, with the ability to explain complex concepts clearly. Preferred Qualifications: Publication record in top-tier AI/ML/NLP conferences or journals. experience working with: Large Language Models Transformer architectures Evaluation and optimisation of LLM-based systems Key Skills Large Language Models ...

developing data-efficient machine learning solutions for complex engineering and optimisation problems. This is an opportunity to join a highly research-driven ML lab, working on probabilistic modelling, Bayesian optimisation and decision-making methods, with a strong emphasis on theoretical rigour and real-world impact. The team regularly … publishes at top-tier machine learning conferences and contributes to open-source ML libraries. The Role You'll conduct original research in areas such as probabilistic models, active learning and Bayesian optimisation, while collaborating closely with other researchers and applied teams. The role blends academic-quality research ...

levels available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Cheltenham Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism … look forward to hearing from you. KEY SKILLS: Data Science/Data Scientist/AI Engineer/AI/Machine Learning/ML/NLP/GenAI/Stakeholder Engagement/Customer Engagement/AWS/Azure/Cloud/Docker/Kubernetes/CI/CD/ ...

delivering advanced language and AI solutions to clients. The Role Lead and architect large-scale machine learning projects Build and deploy scalable ML models, pipelines, and systems Mentor engineers and set technical direction across teams Drive innovation through research and adoption of new ML techniques Present technical insights … Machine Learning Engineering or similar senior roles Strong Python skills; experience with deep learning frameworks (TensorFlow, PyTorch) Solid understanding of ML algorithms, statistics, and data modelling Experience with large-scale data tools (Hadoop, Spark, Kafka) Cloud & MLOps experience (AWS, Azure, or GCP) NLP experience highly beneficial Strong ...

enjoy solving real business problems, and working technical team, this is a brilliant place to grow. You'll work on end-to-end ML projects across multiple private equity companies, helping them unlock value, modernise their data capabilities, and embed production-ready AI and ML solutions. THE COMPANY This technology … transformation. With a good technical team they've built a positive reputation and an enjoyable team to work with. THE ROLE As a Senior ML Engineer, you'll work across different clients, industries, and use cases - perfect if you enjoy variety and dislike being stuck on slow moving projects. ...

long-term career opportunities to our people. At Albany Beck, you’ll be choosing to work with an organisation that’s passionate about your learning journey and committed to your professional career and personal development. Albany Beck are hiring a Machine Learning Developer to support an Onboarding … engineers and other technical teams across the value stream. Create, test and iterate new and existing products and features. Design and develop Python-based ML, OCR and Document AI components. Support the full product lifecycle, including development, deployment, testing and ongoing production support. Essential Skills & Experience Strong experience in Document ...

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 ...