1 to 25 of 85 DemandTrendContract Machine Learning Jobs in England

Machine Learning Engineer £700-750/day overall assignment rate to umbrella Fully remote 6 month initial … A FTSE 100 retail client are on the look for a Data Scientist/Machine Learning Engineer to join their data science function to drive cutting-edge ML technology across the business. Machine Learning Engineer, key skills: Significant experience working as a Data Scientist/Machine Learning Engineer Solid knowledge of SQLandPython's ecosystem … for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib). GCP, VertexAI experience is desirable (developing GCP machine learning services) Timeseries forecasting Solid understanding of computer science fundamentals, including data structures, algorithms, data modelling and software architecture Strong knowledge of Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc.) as well as state-of-the-art More ❯

Machine Learning Engineer (SC Cleared) London (Hybrid) 2 Month Contract £550/day (Inside IR35) Machine … Learning Engineer needed with active SC Security Clearance, plus strong Databricks, MLFlow and MLOps experience. The ideal candidate will have a strong background in Machine Learning (ML) Engineering and in-depth expertise in operationalising models in Databricks, MLFlow and MLOps environments. A chance to work with a leading global IT and Digital transformation business on the delivery … with defined schedule, and that multiple models feeding oneanother take dependencies into account. Capturing data drift, concept drift, model performance degradation signals and ensuring model retrain. Defining/maintaining ML Frameworks (Python, R, Matlab templates), and looking for common reusable code that could be used by future models. Implementing CI/CD pipelines for ML models and automating deployment. More ❯

Machine Learnig Engineer Hybrid Working - UK Wide - 1 day a quarter on site. Financial Services Lorien's leading banking client is looking for a Machine Learning Engineer to join the growing data science and AI team. You'll play a key role in designing, developing, and deploying scalable machine learning solutions using Python and Amazon … of 1 day a week on site. Key Responsibilities Design and implement machine learning models for classification, regression, and forecasting tasks. Build and manage end-to-end ML pipelines using Amazon SageMaker . Collaborate with data scientists, engineers, and product teams to integrate ML solutions into production systems. Optimise model performance and scalability. Monitor and maintain deployed models … ensuring reliability and accuracy. Stay up-to-date with the latest ML research and tools. Required Skills & Experience Strong proficiency in Python and its ML/data libraries (e.g., NumPy, pandas, scikit-learn, TensorFlow or PyTorch). Hands-on experience with Amazon SageMaker , including training, tuning, and deploying models. Solid understanding of machine learning algorithms and statistical methods. More ❯

Role Title: Data Scientist ML Engineer Duration: contract to run until 28/11/2025 Location: Birmingham/Sheffield, Hybrid 2-3 days onsite Rate: TBC Key Skills/requirements Carrying out preprocessing of structured and unstructured data Enhancing data collection procedures to include all relevant information for developing analytic systems Processing, cleansing, and validating the integrity of data … to be used for analysis. Analyzing large amounts of information to find patterns and solutions. Developing prediction systems and machine learning algorithms Presenting results in a clear manner Propose solutions and strategies to tackle business challenges. Data mining or extracting usable data from valuable data sources. Using machine learning tools to select features, create and optimize … is an added advantage. Statistics - Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc. Proficiency in statistics is essential for data-driven companies. Machine Learning - good knowledge of machine learning methods like Decision-making, k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests. Strong Math Skills (Multivariable Calculus and Linear Algebra More ❯

Machine Learning Software Engineer Contract ?? London or Manchester | Hybrid (80% on-site) ?? Up to £600 per day | Inside IR35 ?? DV Clearance Required Were working with a leading consultancy on a Machine Learning Software Engineer contract, delivering high-impact projects in secure government environments. Youll bring: Python and/or JavaScript/TypeScript experience, strong AWS skills More ❯

Lead Software Engineer (AI & ML) - Contract - £610pd inside IR35 - Hybrid, London Location: Central London (3 days per week onsite, hybrid model) Rate: £610 per day (Inside IR35) Contract - 6 months initially We are seeking a highly skilled Lead Software Engineer, working at the forefront of AI and Machine Learning initiatives. This role will involve designing and delivering scalable … solutions that leverage Large Language Models (LLMs) and advanced data streaming platforms. Key Responsibilities Lead the development and implementation of Machine Learning models and pipelines in Python. Architect and optimize Real Time data processing workflows using Apache … Kafka. Drive the design and application of Large Language Models (LLMs) in business-critical use cases. Collaborate with data scientists, engineers, and stakeholders to deliver high-impact AI/ML solutions. Provide technical leadership and mentorship to engineering team members. Required Skills & Experience Proven expertise in Python for ML and AI development. Strong hands-on experience with Apache Kafka for More ❯

redefine what’s possible. Publish your findings in top-tier AI conferences and journals, showcasing your work to the global research community Who You Are: A PhD holder in ML/AI, Computer Science/Engineering, or a related field. A strong foundation in Mathematics, Machine Learning, NLP, and Deep Learning. Hands-on experience in one or more … of these areas: Generative AI, Parameter-efficient Fine-tuning, Model Compression, Foundation Models, Large Language Models (LLMs), Data/Model Privacy, or Prompting Methods. First-author publications in prestigious ML/AI conferences/journals (e.g., ICML, NeurIPS, ICLR, EMNLP, CVPR, ECCV, IEEE TPAMI, AAAI). Proficient in programming languages like Python, Java, or C++, and experienced with Machine Learning libraries (e.g., PyTorch, SciKit, NumPy). Comfortable working in Linux environments and collaborating in a hybrid team setup. Exceptional communication, teamwork, and problem-solving skills. Why Join Us? Be part of a team that’s at the forefront of AI research, developing solutions that impact millions of users worldwide. Work in a dynamic and innovative environment where More ❯

conferences and journals, such as NeurIPS, ICML, ICLR, EMNLP, CVPR, ICCV, ECCV, AAAI, ACL, IEEE TPAMI, IEEE TNNLS, IJCV, and JMLR. Skills and Qualifications Pursuing or completed PhD in ML/AI, Computer Science/Engineering, or related disciplines. Proficiency in mathematics (calculus, probability, statistics, linear algebra, optimization) and computer science (algorithms, data structures, parallel/distributed computing). Strong … fundamentals in Machine Learning, Computer Vision, and Deep Learning. Hands-on experience … in areas such as Generative AI, Foundation Models, Parameter-Efficient Fine-Tuning (PEFT), Data/Model Privacy, or Model Optimization for Multi-Task Learning. First-author publications in top ML/AI conferences/journals (e.g., ICML, NeurIPS, ICLR, CVPR, ECCV, IEEE TPAMI, AAAI). Experience in Linux environments. Proficiency in programming languages such as Python, Java, or C++. Experience More ❯

drive smarter decisions, better outcomes, and improved operational efficiency. Working as part of a multidisciplinary Analytics & Insights team, you'll contribute to shaping a more data-driven culture-where machine learning, AI, and statistical modelling are leveraged to create real-world solutions with measurable impact. Your Impact As a Data Scientist, you'll : Collaborate with business leaders to … identify opportunities and translate complex datasets into actionable insights. Design and build predictive models, machine learning solutions, and smart algorithms. Analyse and visualise trends and patterns that directly influence decision-making across the organisation. Support the development of data products within the Microsoft Azure stack and contribute to modernising data capabilities across a large-scale enterprise. Champion innovation … SQL, and ideally knowledge of Scala, Java, or C++. Deep familiarity with the Microsoft technology stack - including Azure Data Factory, Synapse, Databricks, Power BI, Azure ML. Sound understanding of machine learning methods (KNN, Naïve Bayes, SVM, Decision Forests). Solid statistical and mathematical foundations (regression, distributions, linear algebra, multivariable calculus). Excellent communication skills - able to explain technical More ❯

drive smarter decisions, better outcomes, and improved operational efficiency. Working as part of a multidisciplinary Analytics & Insights team, you'll contribute to shaping a more data-driven culture-where machine learning, AI, and statistical modelling are leveraged to create real-world solutions with measurable impact. Your Impact As a Data Scientist, you'll : Collaborate with business leaders to … identify opportunities and translate complex datasets into actionable insights. Design and build predictive models, machine learning solutions, and smart algorithms. Analyse and visualise trends and patterns that directly influence decision-making across the organisation. Support the development of data products within the Microsoft Azure stack and contribute to modernising data capabilities across a large-scale enterprise. Champion innovation … SQL, and ideally knowledge of Scala, Java, or C++. Deep familiarity with the Microsoft technology stack - including Azure Data Factory, Synapse, Databricks, Power BI, Azure ML. Sound understanding of machine learning methods (KNN, Na ve Bayes, SVM, Decision Forests). Solid statistical and mathematical foundations (regression, distributions, linear algebra, multivariable calculus). Excellent communication skills - able to explain More ❯

pieces of analyses relating to understanding and predicting customer behaviour. They will also work on turning these analyses into actionable insights which the business can use. Main Responsibilities Building Machine Learning models that provide insight into customers and helps the business predict customer behaviour around scheme misuse, EV transition and affordability. These models are essential as the business … Supporting the team in meeting ad hoc requests for customer insights from the rest of the business. Qualifications About you The ideal person will have. Strong experience in building Machine Learning models and applying Data Science techniques using python. Strong data manipulation and statistical analysis experience gained through experience working in various industries. Be able to provide clear … strong stakeholder management experience. Minimum criteria You'll need all of these. Educated to a degree standard, ideally in applied statistics/Data Science/Mathematics. Strong experience using machine learning to solve business problems involving both structured and unstructured data. Experience of working with cloud-based data stores such as Snowflake and strong experience querying data with More ❯

build and refine machine learning models that deliver genuine commercial impact. What You'll Be Doing: Work closely with fellow data scientists to explore how AI/ML can unlock insights and improve decision-making. Perform advanced analysis on large, complex datasets using statistical and modelling techniques. Build, test, and tune ML models (especially NLP or computer vision … using Python and modern ML libraries, all within Google Cloud Platform (GCP) . Optimise models for accuracy and performance, ready for product integration. Stay up-to-date with the latest developments in data science and AI to drive innovation. Present insights, results, and model performance clearly to both technical and non-technical stakeholders. Ensure your workflows are reproducible and well … documented, including experiment tracking and model lineage. What You'll Bring: 3+ years' experience building and deploying ML models, ideally in NLP or computer vision domains. Expert-level Python and SQL, with solid experience using libraries like Pandas, Scikit-Learn, TensorFlow, etc. Proven experience working with BigQuery and big data pipelines on GCP . Deep understanding of statistics, machine More ❯

build and refine machine learning models that deliver genuine commercial impact. What You'll Be Doing: Work closely with fellow data scientists to explore how AI/ML can unlock insights and improve decision-making. Perform advanced analysis on large, complex datasets using statistical and modelling techniques. Build, test, and tune ML models (especially NLP or computer vision … using Python and modern ML libraries, all within Google Cloud Platform (GCP) . Optimise models for accuracy and performance, ready for product integration. Stay up-to-date with the latest developments in data science and AI to drive innovation. Present insights, results, and model performance clearly to both technical and non-technical stakeholders. Ensure your workflows are reproducible and well … documented, including experiment tracking and model lineage. What You'll Bring: 3+ years' experience building and deploying ML models, ideally in NLP or computer vision domains. Expert-level Python and SQL, with solid experience using libraries like Pandas, Scikit-Learn, TensorFlow, etc. Proven experience working with BigQuery and big data pipelines on GCP . Deep understanding of statistics, machine More ❯

team. This role is ideal for someone passionate about pushing the boundaries of Natural Language Processing, Large Language Models, and next-generation AI applications. Skills Required: Strong knowledge of Machine Learning, NLP (Natural Language Processing), and Deep Learning Proficiency in Python and PyTorch Experience with at least one: PEFT, Prompting, Generative AI, LLMs, Model Privacy, or Model … student in Computer Science, AI, Machine Learning, or a related field. Master's degree holders with extensive, relevant research experience will be considered. Publications in top-tier ML/AI conferences or journals (e.g., ICML, NeurIPS, ICLR, EMNLP, CVPR, ECCV, IEEE TPAMI, AAAI, or similar). *P. S: Company cannot provide visa sponsorship, so only candidates residing in More ❯

to explain data science principles with clarity to non-technical stakeholders when required * Extensive knowledge of Python programming principles including object-oriented programming, performance optimisation * Experience developing & deploying productionised Machine Learning applications on a cloud platform (GCP ideal, AWS & Azure also acceptable) * Experience with common Python packages for Machine Learning - examples include PyTorch, TensorFlow, XGBoost, scikit … Some knowledge of containerisation & use of tools like Docker & Docker Compose Nice-to-haves (Mix of the following but not all essential): * Experience working with Google Cloud products for ML including Vertex AI Pipelines & BigQuery * Experience with dbt (data build tool) * Previous experience working with advertising data * Experience with FastAPI or other Python API frameworks * Experience with dashboarding tools such More ❯

Our client, a global insurance organisation, is looking to recruit the services of an experienced Senior Risk Analyst with deep expertise in Artificial Intelligence (AI), Machine Learning (ML), and Large Language Models (LLMs) to join our client's Security Risk Management team. This role plays a pivotal part in assessing and managing risks related to AI-driven projects … across a global enterprise, ensuring new technologies are adopted safely and responsibly. Key Responsibilities Conduct enhanced risk assessments of AI/ML-based initiatives and proof-of-concepts. Evaluate AI systems for potential misuse, abuse, or adversarial threats. Collaborate with stakeholders across IT, Data Privacy, Innovation, and Business to identify and mitigate risks. Translate complex technical risks into business-friendly … models and propose compensatory controls. Present findings to internal governance groups and help shape AI risk frameworks. Required Skills & Experience 10+ years of professional experience, including demonstrable AI/ML expertise. Hands-on knowledge of LLMs, deep learning frameworks (eg, PyTorch, TensorFlow). Advanced Python skills; SQL a plus. Experience articulating risks in business terms and advising on mitigation. More ❯

team with the heightened workload from the "Insights with Impact" (IwI) project, currently in progress with focus on Microsoft Purview. . Artificial Intelligence (AI) and Machine Learning(ML) Enhancement: Provide infrastructure support for the increased demands and requirements arising from the AI/ML team's initiatives. . Business-as-Usual Operations: Contribute to the management of our … British Library breach. . Respond to tickets/requests from internal teams, with a focus on Purview, Logic Apps & Database management. . Support infrastructure needs of the AI/ML teams. . Manage tickets and emails, ensuring timely responses. . Contribute to both project based and BAU Azure related work, including support for other Gov UK departments hosted on CCS More ❯

accordingly) Data Skills programmes: No-code Programme - Data visualisation, data cleaning, data analytics, statistics, Power BI Extended Programme - All of the above, plus basic Python (Pandas), SQL, and practical machine learning Course Format: Full-time: 10-12 weeks, one weekday (09:00 - 17:30) Evenings: 16 weeks, two evenings per week (18:00-21:00) Contract Details: Start … September 2025 Duration: 12 - 16 weeks (initial programme) Rates: Competitive (daily/hourly) Location: Remote (UK-based delivery) Requirements: Hands-on commercial data experience (Power BI, Python, SWL, Machine Learning) Experience teaching adult learners or apprentices (Level 4-7) Ability to relate topics to real-world scenarios Strong communication and facilitation skills If you've got real-world More ❯

accordingly) Data Skills programmes: No-code Programme - Data visualisation, data cleaning, data analytics, statistics, Power BI Extended Programme - All of the above, plus basic Python (Pandas), SQL, and practical machine learning Course Format: Full-time: 10-12 weeks, one weekday (09:00 - 17:30) Evenings: 16 weeks, two evenings per week (18:00-21:00) Contract Details: Start … September 2025 Duration: 12 - 16 weeks (initial programme) Rates: Competitive (daily/hourly) Location: Remote (UK-based delivery) Requirements: Hands-on commercial data experience (Power BI, Python, SWL, Machine Learning) Experience teaching adult learners or apprentices (Level 4-7) Ability to relate topics to real-world scenarios Strong communication and facilitation skills If you've got real-world More ❯

analytic systems Processing, cleansing, and validating the integrity of data to be used for analysis. Analyzing large amounts of information to find patterns and solutions. Developing prediction systems and machine learning algorithms Presenting results in a clear manner Propose solutions and strategies to tackle business challenges. Data mining or extracting usable data from valuable data sources. Using machine learning tools to select features, create and optimize classifiers Qualifications: Programming Skills - Expertise in statistical programming languages like python , and Scala/java is an added advantage. Open Telemetry: Expertise in open telemetry stack with components like Virtual machines, Middleware like IIS/Apache, hypervisor, database etc. The conceptual … of open telemetry OTLP format and making it structure Correlation of the streaming OLTP streaming data with many different components and convert it into action based on the applied ML on it More ❯

embed data science into software tools. Analyze geological and mining data to extract patterns and generate insights. Combine drilling data with traditional rock properties to enhance subsurface understanding. Apply machine learning algorithms to geological datasets. Support data-driven decision-making in geological and mining operations. Leverage spatial data analysis to improve geological interpretations. What We're Looking For … with spatial data and GIS techniques. Ability to communicate complex data insights to non-technical stakeholders. Collaborative mindset and ability to work cross-functionally. Nice to Have: Background in machine learning and predictive modeling. Familiarity with geological datasets and workflows. Understanding of software development processes. Why Apply: Join a forward-thinking team building impactful software solutions for the More ❯

objectives into a strategic technical vision. Knowledge Essential Deep understanding of machine learning algorithms, techniques, and best practices within healthcare. This includes familiarity with a range of ML approaches (supervised/unsupervised learning, deep learning, etc.) and their applications in healthcare. Maintains knowledge of technology trends through pro-active horizon scanning, and understands how to assess More ❯

Job Title: AI Engineer Job Description: We are looking for an innovative AI Engineer to design, develop, and deploy AI/ML-driven solutions that enhance business processes and decision-making. The role involves working with large datasets, building predictive models, and implementing intelligent automation systems. Key Responsibilities: Design, build, and deploy AI/ML models for real-world business … teams to define AI solutions. Ensure scalability, performance, and ethical AI practices. Required Skills & Experience: Strong experience in Python, TensorFlow, PyTorch, Scikit-learn or similar frameworks. Solid understanding of machine learning, deep learning, NLP, or computer vision. Hands-on with data engineering, model deployment (MLOps), and cloud platforms (AWS, Azure, GCP). Strong problem-solving, algorithmic, and More ❯

Cloud & ML Infrastructure Engineer About Us We're a fast-growing startup building breakthrough AI technology at the intersection of 3D, computer vision, and spatial computing. Our work is shaping the way industries - from robotics and AR/VR to gaming and film - create and interact with immersive content. We thrive on bold ideas, fearless problem-solving, and a culture … be part of a team pushing the boundaries of what's possible in AI, we'd love to hear from you. The Role We're looking for a Cloud & ML Infrastructure Engineer to join our team. You'll play a key role in designing, building, and maintaining scalable systems that power cutting-edge machine learning workloads. From cloud … infrastructure to distributed training environments, you'll help lay the foundation for delivering next-generation AI solutions. Responsibilities Design, deploy, and maintain scalable, high-performance cloud-based infrastructure for ML workloads and APIs. Manage cloud platforms (AWS, Azure, GCP) including ML nodes for local development and distributed training. Install, configure, and monitor servers, ensuring smooth system performance. Optimize shared and More ❯

expected behavior. Technical Skills & Qualifications: Bachelor’s degree in Computer Science, Computer Engineering, or related field (or equivalent experience). 2+ years of experience in research or prototyping within machine learning, deep learning, or natural language processing. Proficient in Python, with the ability to understand and work with a codebase containing multiple interrelated files. Experience with AI More ❯