1 to 25 of 97 Machine Learning Jobs in Leicester

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: 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

Description: We are seeking a skilled Data Scientist to assist our client in developing advanced models within the sports betting industry. This role combines machine learning, software engineering, data science, and mathematics—ideal for someone passionate about innovation and tackling complex challenges. The role is based in Costa … Rica. Responsibilities: Develop, structure, and maintain datasets suitable for machine learning workflows. Create and implement high-performance algorithms and predictive models for sports modeling initiatives. Collaborate with data scientists, developers, and domain experts to solve real-world problems and enhance outcomes. Qualifications: Experience with machine learning More ❯

allow the precise control of cell and gene therapies in response to a diverse range of molecules. Key Responsibilities Develop and refine AI/ML methods for RNA-based control system development. Preparation, processing, cleaning, and annotation of datasets tailored for AI development. Manage the curation of these datasets to … on achieving shared goals with a commitment to high-quality outcomes. Skills Proven track record in the successful development and deployment of AI/ML-based tools. Strong command over Python and major ML frameworks such as Keras, PyTorch, TensorFlow, or Scikit-Learn. Extensive experience in building and implementing predictive … methodical approach to problem-solving. Familiarity with handling and analysing Next-Generation Sequencing (NGS) data. Skilled in using cloud platforms for deploying and managing ML applications. Advanced ML Deployment: Experience in designing and rolling out large-scale machine learning algorithms. Qualifications PhD/MSc (or equivalent professional experience More ❯

including retrieval augmented systems (RAGs), recommender systems, and agentive systems. You will: Invent, experiment with, and launch new features, products and systems based on machine learning and MLLM. Perform hands-on construction and analysis of large-scale multi-modal datasets to be deployed as part of our product … test experiments, optimise and deploy your models into production, working closely with software engineers. Establish automated processes for large-scale data analysis and generation, machine-learning model development, model validation and serving. Communicate results and insights to both technical and non-technical audiences, including through presentations and written … in Python, Java, C++, or a related language Strong skills in algorithm development to solve optimisation problems Familiarity with core tools for a typical ML-focused work environment (e.g. Git, IDE, common libraries, HuggingFace). Ability to work as part of a team Be comfortable with a fast-paced, high More ❯

senior engineers and consultants to contribute to proofs of concept, pilots, and production projects Learn and apply best practices in data engineering, AI/ML model integration, and cloud architecture Stay up to date with evolving Azure services and modern AI frameworks (e.g., Azure OpenAI, LangChain, Prompt Flow) Help document … Azure Fundamentals, DP-900, AI-900) is a bonus but not required - DESIRABLE Other Requirements Strong foundational knowledge of Python, data structures, and basic ML/AI concepts - ESSENTIAL Awareness of cloud computing fundamentals, preferably Microsoft Azure - ESSENTIAL Strong problem-solving skills and eagerness to learn new technologies - ESSENTIAL Clear … Data Factory, or Azure OpenAI - DESIRABLE Experience with Jupyter Notebooks, version control (e.g., Git), or working with APIs - DESIRABLE Demonstrated interest in AI/ML through coursework, personal projects, or internships - DESIRABLE CORE COMEPTENCIES & SKILLS: Growth mindset – actively seeks opportunities to learn and improve Team collaboration – works well within delivery More ❯

with a focus on data manipulation and engineering. A genuine interest in data science and a drive to expand your skillset into predictive analytics, machine learning, or statistical modeling. Strong analytical and problem-solving skills with a passion for optimising workflows. Excellent communication and teamwork abilities to thrive … quality across the organization. Write clean, efficient, and reusable Python code tailored to data engineering tasks. Collaborate with data scientists and stakeholders to support machine learning initiatives and advanced data modeling. Drive innovation by researching and integrating the latest cloud-based technologies and frameworks. Opportunities to learn, cross … skill in AI and contribute to a culture of learning, excellence, and collaboration. Bonus Schemes Life Assurance Private medical cover Group income protection Great Company Pension Enhanced Sick Pay Enhanced Family Leave Pay Volunteering Leave Loyalty award scheme 24/7 access to EAP including Wisdom AI app Access More ❯

analyse clinical and performance data from gait lab assessments and prosthetic/orthotic devices as part of product trials and internal research studies. Using machine learning tools and statistical techniques to provide novel solutions to problems. Providing expertise in the creation of algorithms and machine learning … plan Cycle to work scheme. Opportunity to be part of an award-winning organisation with a culture that centres around our core values; courage, learning, integrity, collaboration, and innovation What are we looking for? BSc in Data Science/Biostatistics/Biomedical Engineering/Biomechanics Proven experience working with More ❯

like Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for data extraction, transformation, and loading into AWS. Apply statistical and machine learning techniques for predictive and segmentation analyses. Identify key metrics, develop KPIs, and create dashboards using Amazon QuickSight. Perform exploratory data analysis to … AWS tools like Redshift, Athena, EMR, and QuickSight. Strong understanding of data modeling, ETL, and data warehousing. Skills in statistical analysis, data mining, and machine learning. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL, visualization tools, and statistical packages. Analytical and problem-solving skills. Experience with … social media analytics and user behavior. Knowledge of big data technologies like Hadoop, Spark, Kafka. Understanding of AWS machine learning services like SageMaker and Comprehend. Experience with data governance and security in AWS. Excellent communication and teamwork skills. Attention to detail and ability to meet deadlines. Compensation: This More ❯

join us on our mission. What You’ll Be Doing: Designing and implementing NLP approaches to extract new insights from unstructured text data Training machine learning models to automatically categorise text Investigating new approaches to problems, exploring the literature, and actively following the cutting-edge of research Communicating … Looking For: Must have 3+ years experience as a Data Scientist in a commercial setting Extensive experience using Python to analyse text and implement machine learning models - including packages like Spacy and Tensorflow Familiarity with MLOps and experience using AWS to develop, deploy and monitor models A scientific More ❯

AI Engineer to design and implement intelligent, agentic AI systems capable of autonomous decision-making and task execution. Your work will involve integrating sophisticated machine learning models with reasoning, planning, and interaction functionalities to create truly autonomous agents. Role: Design and develop intelligent systems leveraging agentic AI concepts … Integrate advanced machine learning models with reasoning, planning, and interaction modules Utilise prompt engineering, vector databases, and RAG (Retrieval-Augmented Generation) architectures Develop and deploy solutions using agent libraries such as Lang Chain, Lang Graph, and Autogen Apply computer vision and document processing techniques to enhance AI capabilities … across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We offer flexible workplace arrangements, mentoring, internal mobility, learning and development programmes to support our global workforce. Empowerment and collaboration are at the core of how we operate. All employment decisions at Synechron More ❯