1 to 25 of 150 Machine Learning Jobs in Leicestershire

Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 4 Posted: 31.05.2025 Expiry Date: 15.07.2025 col-wide Job Description: Senior Machine Learning Engineer Up to £100,000 London (Fully Remote) Company: Join an innovative, fast-paced crypto start-up at the forefront of cutting … technology. This is your opportunity to work with the latest advancements and take a pivotal role in advancing their analytics platform. As a Senior Machine Learning Engineer, you’ll be at the forefront of innovation, developing and implementing machine learning models to optimize the platform’s … performance. You’ll work with a dynamic team, leveraging state-of-the-art technologies to drive the company’s growth. Responsibilities: Develop and deploy machine learning models to enhance the analytics platform. Collaborate with cross-functional teams to define and implement AI-driven solutions. Work on innovative, data More ❯

Social network you want to login/join with: Research Machine Learning Engineer - World Leading Team - Cambridge/London A world-leading tech company is looking for an exceptional Research Machine Learning Engineer to join its elite AI research division. This is a unique opportunity to … work on some of the most complex and exciting problems in machine learning - driving cutting-edge innovation with real-world impact. What they’re looking for: Candidates should ideally hold a PhD in a relevant field, with a strong record of publications in top-tier conferences or journals. … Deep expertise in machine learning algorithm development is essential, and they’re especially interested in those who thrive in pushing the boundaries of what’s possible. Nice to have experience in: Deep learning frameworks (e.g., TensorFlow, PyTorch) Applied AI research at scale What’s on offer: Hybrid More ❯

message the job poster from The Portfolio Group Chief Operations Officer at The Portfolio Group | Executive Recruitment & Search Assignments. An exceptional opportunity for a Machine Learning Engineer (with Full-Stack experience) to join an innovative market leader at the forefront of developing next-generation solutions that transform digital … workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. End-to-End AI Product Development : Work across the full ML lifecycle, from data collection and preprocessing to model evaluation, deployment, and monitoring. Full-Stack Integration : Develop APIs and integrate ML models into web applications using … Engineering Lead Software Engineer - Analyst/Associate - Birmingham West Midlands, England, United Kingdom 2 weeks ago Warwick, England, United Kingdom 2 weeks ago Senior ML Engineer - LLM Applications (Remote - United Kingdom) Birmingham, England, United Kingdom 2 weeks ago Birmingham, England, United Kingdom 4 days ago Birmingham, England, United Kingdom More ❯

Social network you want to login/join with: Machine Learning Engineer – London – Exciting Early-Stage Start-Up Are you looking for you next Machine Learning Engineering role? Do you want to be a part of an exciting and hard-working team? This may be the … position for you! This Machine Learning Engineer role is an early-stage position as the company is only beginning to scale this year. The founders have a very successful background with an incredible portfolio of previous projects. Working within a start-up company will provide you with the … a small and high performing team as well as the capability to work well independently. You should be driven to design and build elite machine learning and computer vision software solutions. Ideally you should have: A solid academic background, preferably from a leading University with high grades in More ❯

and structural data . Customize existing tools and develop new ones for integrative analysis and visualization of large-scale systems immunology data . Drive ML-based pipelines for diagnostic or therapeutic design . Benchmark computational methods and optimize performance across datasets. Lead or contribute to collaborative projects spanning academic, clinical … . Practical experience with TensorFlow and/or PyTorch . Preferred Qualifications 3+ years post-graduate experience in academia or biotech/pharma, applying ML/AI to biological datasets . Prior exposure to immunology , especially TCR/BCR repertoire analysis, or experience with protein design & or biologics. Deep expertise … in at least one of the following areas: Language models for sequence analysis Graph ML in biomedical networks Experience with GPU computing (cloud or HPC clusters) . #J-18808-Ljbffr More ❯

role sits within a multidisciplinary engineering team, collaborating closely with software developers, data scientists, and subject matter experts to design, train, validate, and deploy ML solutions on secure, often resource-constrained platforms. Key Responsibilities: Designing and implementing robust ML models suited to real-time or mission-critical defence environments Processing … closely with software engineers, data scientists, and defence stakeholders to ensure scalable and secure system integration Conducting rigorous testing, validation, and documentation of all ML models in line with regulatory and operational standards Staying current with emerging AI/ML techniques and assessing their applicability to defence applications Demonstrating a … related field Possessing solid programming skills in Python and proficiency with libraries such as TensorFlow and PyTorch Having the ability to build and optimise ML pipelines from prototype to deployment Understanding algorithm performance in constrained or sensitive environments Having prior experience within the defence, aerospace, or national security sectors Familiarity More ❯

models across various complex defence use cases, including autonomous systems, surveillance technologies, predictive analytics, and decision-support platforms. Key Responsibilities: Design and implement robust ML models suited to real-time or mission-critical defence environments. Process and analyse complex datasets, including geospatial, signals, or operational intelligence data. Collaborate closely with … software engineers, data scientists, and defence stakeholders to ensure scalable and secure system integration. Conduct rigorous testing, validation, and documentation of all ML models in line with regulatory and operational standards. Stay current with emerging AI/ML techniques and assess their applicability to defence applications. Qualifications and Skills: Strong … degree in a related field. Solid programming skills in Python and proficiency with libraries such as TensorFlow and PyTorch. Experience in building and optimizing ML pipelines from prototype to deployment. Understanding of algorithm performance in constrained or sensitive environments. Prior experience within the defence, aerospace, or national security sectors. Familiarity More ❯

machine learning, and applied AI - particularly Generative AI. This role will suit a technically capable professional who combines real-world AI/ML solution delivery experience with a solid understanding of the Azure ecosystem. The ideal candidate will bring hands-on expertise in designing and building AI-driven … gaps that are a block to Data and Ai implementation. Implement robust security measures to protect sensitive data within Azure environments. Integrate AI and machine learning models into data pipelines and applications. Develop and deploy AI solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot More ❯

An exceptional opportunity for a Machine Learning Engineer (with Full-Stack experience) to join an innovative market leader at the forefront of developing next-generation solutions that transform digital interactions. The role will focus on projects to leverage state-of-the-art generative AI, retrieval-augmented generation (RAG … and reasoning frameworks to build intelligent and context-aware systems. We are seeking talented Machine Learning Engineers with full-stack software development experience to join our client's team and help shape the future of AI-powered automation. Within this dynamic role varied duties will include: Search relevancy … workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. End-to-End AI Product Development : Work across the full ML lifecycle, from data collection and preprocessing to model evaluation, deployment, and monitoring. Full-Stack Integration : Develop APIs and integrate ML models into web applications using More ❯

An exceptional opportunity for a Machine Learning Engineer (with Full-Stack experience) to join an innovative market leader at the forefront of developing next-generation solutions that transform digital interactions. The role will focus on projects to leverage state-of-the-art generative AI, retrieval-augmented generation (RAG … and reasoning frameworks to build intelligent and context-aware systems. We are seeking talented Machine Learning Engineers with full-stack software development experience to join our client's team and help shape the future of AI-powered automation. Within this dynamic role varied duties will include: Search relevancy … workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. End-to-End AI Product Development : Work across the full ML lifecycle, from data collection and preprocessing to model evaluation, deployment, and monitoring. Full-Stack Integration : Develop APIs and integrate ML models into web applications using More ❯

Role We are now looking for an AI Solutions Engineer to build and deliver innovative AI products to our customers. Your software expertise and machine learning knowledge will help transform our customers' manual processes into AI automated solutions. Your mission will be to ensure our customers receive the … challenges and collaborate with them to leverage our AI in the automation of their work. Initially, you will provide hands-on support for our machine learning models as they come to market but then will gradually develop self-service tools that empower customers to achieve value independently. As … development platform that scales with our product strategy. Ensure our AI services maintain high standards of reliability, observability, availability, and performance. Participate in our machine learning community to influence how we implement machine learning and computer vision technologies, shaping Unitary's future. Take ownership of customer More ❯

Social network you want to login/join with: Senior Digital FPGA Engineer - IP/Machine Learning in job available in Cambridge, Cambridgeshire Cambridge based business in the technology hub of the UK Rare opportunity to be part of a leading Machine Learning/AI technology … business Fantastic benefits package and salaries on offer, including hybrid working (3 days on site, 2 at home) A leading machine learning business involved in developing incredible financial industry technology are seeking skilled Senior Digital Design and FPGA Engineers to join their HQ in Cambridge. This company offers … investment into new innovation. As a Senior Digital FPGA Engineer you will develop FPGA's using SystemVerilog. You'll work closely with software and machine learning experts to help build low-latency/high-throughput applications. What skills and experience is required: FPGA Design, development and testing experience More ❯

visual storytelling through smart, scalable technology. Backed by a leading private equity firm, they’re expanding rapidly and investing in cutting-edge AI and ML capabilities to take the platform to the next level. The Role: This is an opportunity for an experienced and technically hands-on Staff Software Engineer … AI/ML to take a leading role in defining, building, and scaling their AI and machine learning capabilities. This is a foundational role that combines technical leadership, strategic thinking, and day-to-day development. We are looking for someone who has focused on hands-on coding rather … than management or other hands-off responsibilities. You’ll architect and build reliable and scalable AI/ML systems, laying the groundwork for a new, dedicated team focused on intelligent product capabilities. With a focus on applied machine learning, generative AI, and cloud-native tools, this is an More ❯

Permanent Remuneration (London; On-site): £70–90k 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 Microsoft, Bloomberg and Goldman Sachs. We are backed by prominent … UK, including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have … background in Machine Learning. This is an applied role, and we are looking to hire a software engineer with experience in cloud computing and distributed systems. In this role, you will: Design and develop highly-scalable, fault tolerant and event driven systems. Take ownership of tasks, having a high More ❯

gaps that are a block to Data and Ai implementation. Implement robust security measures to protect sensitive data within Azure environments. Integrate AI and machine learning models into data pipelines and applications. Develop and deploy AI solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot … or similar - DESIRABLE Years of Experience 5+ years working with production data workloads in Azure - ESSENTIAL Other Requirements Experience with AI development using Azure Machine Learning - ESSENTIAL Strong programming skills in languages such as Python, SQL, or C# - ESSENTIAL CORE COMEPTENCIES & SKILLS: Expertise in designing and implementing data More ❯

sports models. This position sits at the intersection of data science, engineering, software development, and mathematics , offering the opportunity to work on highly impactful machine learning solutions within the iGaming industry. Key Responsibilities Build and maintain robust, high-quality datasets for machine learning models. Design and … implement automated algorithms and advanced machine learning tools. Collaborate with a cross-functional team to solve complex problems and drive innovation. Skills & Qualifications Solid experience with machine learning , particularly with neural networks . Strong programming skills, preferably in Python ; knowledge of Matlab is a plus. Expertise More ❯

Social network you want to login/join with: Data Science & Machine Learning – Elite Talent Wanted, leicester col-narrow-left Client: Location: Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 2 Posted: 06.06.2025 Expiry Date: 21.07.2025 col-wide Job Description: Data Science & Machine Learning – Elite Talent Wanted Top End Salary (D.O.E) We're hiring on behalf of a prestigious client seeking exceptional AI and Data Science professionals . If you hold a top-tier degree from a world-class university and thrive on solving complex problems with cutting-edge technology, we … , or data science Background in mathematics, statistics, computer science , or a related field Proficiency in Python, R, or similar languages and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) is a plus Analytical mindset with a passion for innovation and problem-solving Willingness to relocate to Glasgow What More ❯

media, and technology sectors. The Opportunity: We are seeking a highly skilled Audio AI & DSP Engineer to drive innovation in audio signal processing and machine learning applications. This is an opportunity to work at the forefront of AI-generated sound, audio watermarking, and forensic analysis in a fast … paced, high-impact environment. The ideal candidate will have a deep understanding of digital signal processing, machine learning, and generative AI models for audio applications. Key Responsibilities: Develop and optimize advanced algorithms for audio signal processing, including signal injection, enhancement, synthesis, restoration, and error correction. Design and train … adversarial networks (GANs) for audio applications. Knowledge of secure audio processing techniques, watermarking, and cryptographic applications in AI. Experience with cloud-based AI/ML infrastructure for training and deployment. Background in audio engineering, acoustics, or music technology. Why Join Us? Be part of a high-impact, high-growth team More ❯

months: Own and evolve pipelines built in Python and R (and Kedro and SageMaker) to analyse immune profiles Contribute to modelling projects that use ML to identify immune signatures of disease or treatment outcomes Support internal tooling that connects lab outputs, data cleaning, and model-ready datasets Collaborate with scientists … domain: e.g., model validation, ontologies, scientific interfaces You Might Be a Fit If You: Have 2–5 years experience in applied data science or ML engineering, ideally in life sciences or health data Write clean, reproducible Python and it would great if you understand workflow tools like Kedro, Dagster, or … other orchestration platforms Have built and evaluated ML models for real-world use cases (especially classification or regression with limited samples) Are excited by biological complexity: You don’t need to be an immunologist, but you need to respect the nuance Think in systems: You naturally refactor, generalise, and leave More ❯

basic***** IMPORTANT PLEASE READ - Aiming for candidates to have a START DATE between July & August We are seeking passionate and enthusiastic Graduate Machine Learning Engineers for an exciting AI company in Edinburgh. The role is suitable for candidates with a background in Artificial Intelligence, Machine Learning … Possessing foundational knowledge of various machine learning techniques suitable for different data types and shapes. Supporting the implementation of advanced AI/ML techniques across multiple product lines to enhance products. Conducting exploratory data analysis to identify trends and anomalies. Assisting in Proof of Concept projects by analyzing More ❯

roles are not eligible for sponsorship. For further information and eligibility please visit the UKVI website . Job details Job title Computer Vision and Machine Learning Specialist KTP Associate Job reference REQ250487 Date posted 13/06/2025 Application closing date 25/06/2025 Location … to £38,000 per annum plus training budget of up to £4,500. Job description Department of Computer Science TrainFX Computer Vision and Machine Learning Specialist (KTP Associate) Period: 13.5 months (Full time) Salary: £34,000 to £38,000 per annum (Starting salary to be confirmed on offer … by UKRI Innovate UK, with 13.5 months remaining. This is an exciting opportunity for a forward-thinking and ambitious specialist in computer vision and machine learning to join a company that specialises in providing SAAS services to the Rail Industry. Working with some of the biggest Train Operators More ❯

criminal record check (known as Disclosure and Barring Service) Your Role We are looking for people with strong technical knowledge in areas such as machine learning, GenAI, computer vision, and data science, combined with solid solution architecture and software engineering skills, that will allow us to design and … built an inclusive and welcoming environment, for everyone. Your Skills and Experience Capabilities in a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.). Strong communication …/RFP process, as preferred bidder, documented bids and face to face presentations. Experience of data science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms – demonstrable experience of building and deploying solutions to Cloud (e.g. AWS, Azure, Google More ❯

early-stage startup backed by top-tier investors is seeking an ambitious Machine Learning Engineer to join as their first full-time ML hire . As a core member of the founding team, you’ll generative voice and speech-to-speech models and your work will directly shape … paced, high-performance environment. ? What You’ll Do Design and implement cost-efficient, high-performance infrastructure for storing and transforming massive audio datasets. Apply ML audio and DSP techniques to clean, segment, and filter speech data. Manage large-scale cloud data storage with a deep understanding of cost-performance tradeoffs. … Build scalable ML training pipelines in PyTorch using large datasets. Contribute to research and development of generative voice and speech-to-speech models. Prototype and implement novel ML/statistical approaches to enhance product capabilities. Develop robust testing pipelines to evaluate model performance on audio data. What We’re Looking More ❯

Highly competent hands-on experience with relevant Data Engineering technologies, such as Databricks, Spark, Spark API, Python, SQL Server, Scala. Work with data scientists, machine learning engineers and DevOps engineers to develop, develop and deploy machine learning models and algorithms aimed at addressing specific business challenges … organised, process-driven and outcome-oriented. Able to use historical experiences to help with future innovations. Passionate about data; enjoy being hands-on and learning about new technologies, particularly in the data field. Self-directed and independent; able to take general guidance and the overarching data strategy and identify … and debugging. Data warehouse operations and tunning experience in schema evolution, indexing, partitioning. Hands-on IaC development experience with Terraform or CloudFormation. Understanding of ML development workflow and knowledge of when and how to use dedicated hardware. Significant experience with Apache Spark or any other distributed data programming frameworks (e.g. More ❯

clients unlock over 30% in time and cost savings. What You’ll Do Collaborate with senior data scientists and engineers to build and deploy machine learning models Analyse complex datasets to uncover actionable insights Support automation projects across finance and customer experience domains Communicate findings clearly to both … Continuously learn and apply the latest in AI and data science techniques What We’re Looking For A Master’s degree in Data Science, Machine Learning, Statistics, Computer Science, or a related field Strong Python skills and familiarity with libraries like pandas, scikit-learn, and TensorFlow or PyTorch … Solid understanding of statistical analysis and machine learning fundamentals Excellent problem-solving and communication skills A proactive mindset and eagerness to grow in a fast-paced environment Why Join? Work with cutting-edge AI and automation technologies Be part of a mission-driven team making a tangible difference More ❯