1 to 25 of 97 Contract Machine Learning Jobs in England

of economic crime across the NHS. Further information about our work and annual plan for delivering this is available on our website. The Data Scientist role requires expertise in machine learning, statistical analysis, anomaly detection, and strong communication and collaboration skills. Key responsibilities include developing innovative models, designing, applying, and optimising models in a dynamic environment. The role … is critical in project planning, using data to drive business objectives, and defining project directions to achieve financial targets. With a deep understanding of data science, including machine learning, predictive modelling, and deep learning, the Data Scientist will tackle complex challenges and extract actionable insights from diverse datasets. They will lead model development and ensure solutions meet … data transparency, integrity, and compliance throughout the portfolio. Prepare data for model development and selection using techniques such as, sampling, feature engineering and normalisation etc. Leverage advanced AI and machine learning techniques, including deep learning, to improve fraud detection and prevention models while adhering to privacy regulations. About us We have offices based in Coventry, Newcastle and More ❯

of economic crime across the NHS. Further information about our work and annual plan for delivering this is available on our website. The Data Scientist role requires expertise in machine learning, statistical analysis, anomaly detection, and strong communication and collaboration skills. Key responsibilities include developing innovative models, designing, applying, and optimising models in a dynamic environment. The role … is critical in project planning, using data to drive business objectives, and defining project directions to achieve financial targets. With a deep understanding of data science, including machine learning, predictive modelling, and deep learning, the Data Scientist will tackle complex challenges and extract actionable insights from diverse datasets. They will lead model development and ensure solutions meet … data transparency, integrity, and compliance throughout the portfolio. Prepare data for model development and selection using techniques such as, sampling, feature engineering and normalisation etc. Leverage advanced AI and machine learning techniques, including deep learning, to improve fraud detection and prevention models while adhering to privacy regulations. About us We have offices based in Coventry, Newcastle and More ❯

of economic crime across the NHS. Further information about our work and annual plan for delivering this is available on our website. The Data Scientist role requires expertise in machine learning, statistical analysis, anomaly detection, and strong communication and collaboration skills. Key responsibilities include developing innovative models, designing, applying, and optimising models in a dynamic environment. The role … is critical in project planning, using data to drive business objectives, and defining project directions to achieve financial targets. With a deep understanding of data science, including machine learning, predictive modelling, and deep learning, the Data Scientist will tackle complex challenges and extract actionable insights from diverse datasets. They will lead model development and ensure solutions meet … data transparency, integrity, and compliance throughout the portfolio. Prepare data for model development and selection using techniques such as, sampling, feature engineering and normalisation etc. Leverage advanced AI and machine learning techniques, including deep learning, to improve fraud detection and prevention models while adhering to privacy regulations. About us We have offices based in Coventry, Newcastle and More ❯

applicants. Applying through Talent Hero gives you access to global opportunities without navigating the typical hiring grind. Youll work alongside US product, data, and engineering teams to build scalable ML pipelines and turn advanced algorithms into business value. We are looking for Machine Learning Engineers who are technically sharp, production-minded, and excited to push the boundaries of … learning models to solve complex business problems Develop scalable data pipelines for training, testing, and deploying models Collaborate with data scientists, product teams, and software engineers to integrate ML into production Optimize models for speed, accuracy, and efficiency in real-time environments Monitor model performance and implement feedback loops and retraining mechanisms Conduct experiments using A/B testing … and statistical analysis to validate approaches Document ML systems and provide support for ongoing performance tuning Use tools like Python, TensorFlow, PyTorch, Scikit-learn, AWS, GCP, MLflow, Docker, SQL , and others Requirements Minimum Bachelors degree in Computer Science, Machine Learning, AI, or a related field Proven experience as a Machine Learning Engineer or in a similar More ❯

to succeed. A progressive organisation where you can really make a difference. We a great opportunity for an AI Security Architect Key Responsibilities: * Develop and implement comprehensive AI/ML security strategies, policies, standards and guidelines to protect organizational assets and ensure the secure operation of AI and ML systems. * Develop and own robust enterprise security architecture for AI/… ML systems, CI/CD and data pipelines. * Participate in enterprise-wide architecture initiatives for AI/ML. Understand the workflow and pipeline architectures of ML and deep learning workloads. * Conduct security risk assessments and threat modelling for AI/ML and other business projects performed thorough design reviews and security assessments of architectures and designs, identifying vulnerabilities, threats … and risks, and providing recommendations for effective mitigation measures for common attack vectors and threats. * Support the testing of AI/ML models, LLM and development of trustworthiness, safety, fairness, bias and inappropriateness detection, as well as adversarial test specification, development, and execution. * Collaborate with data scientists, engineers, and other stakeholders to embed security controls and measures into AI/ More ❯

Senior ML & AI Backend Engineer - Big Data, LLMs & MLOps About the Role We're an ambitious, fast-moving tech company developing next-generation solutions at the intersection of advanced Machine Learning, Big Data, and Large Language Models (LLMs). We're looking for a hands-on Senior ML & AI Backend Engineer to design and build the robust backend … collaborative teams and want your work to have a direct, tangible impact, this is the place for you. What You'll Do Architect and implement scalable backend systems powering ML models and LLMs in production. Design, build, and maintain end-to-end ML pipelines, championing MLOps best practices for deployment, monitoring, and iteration. Develop solutions for big data storage and … processing, ensuring data quality, security, and efficiency. Integrate and optimize both classical ML models and LLMs for real-world use cases. Research and experiment with state-of-the-art algorithms, tools, and frameworks - bringing fresh ideas from prototype to production. Collaborate closely with a cross-functional team of data scientists, engineers, and product stakeholders. Write clean, maintainable, well-tested code More ❯

retention, personalisation, and campaign effectiveness. You'll be part of a collaborative, technically skilled team that combines deep analytical thinking with commercial understanding to solve complex marketing challenges using machine learning and statistical modelling. Key Responsibilities Advanced Analytics & Modelling Design and implement machine learning algorithms and statistical models tailored to the marketing domain Apply techniques such … experimentation strategy Project Delivery & Agile Working Lead and manage data science projects from scoping to delivery Participate in agile ceremonies and demonstrate flexibility in a fast-paced environment Continuous Learning & Innovation Stay up to date with the latest trends in marketing science, machine learning, and data engineering Share knowledge and champion experimentation within the team What We … background in marketing analytics or a clear passion to grow in this domain Proficiency in Python and SQL (a technical test is part of the process) Solid understanding of machine learning, statistical modelling, and experimentation Strong communication skills to engage with business teams and explain complex concepts clearly Experience working with cloud platforms and big data tools, preferably More ❯

transform credit risk management and financial data analytics. The Role This is a development-focused position where you'll be responsible for data extraction, analysis, and model development using ML, DL, and LLMs . You'll clean and manipulate complex financial datasets, build predictive and prescriptive models, and implement them in production environments. Key Details Start Date: ASAP Duration: TBD …/day Responsibilities of a GenAI Specialist Develop and deploy AI models, focusing on GenAI and LLMs . Extract, clean, and analyse structured and unstructured data. Implement scalable ML/DL solutions through the full model lifecycle. Collaborate with cross-functional teams to drive AI innovation. Present analytical findings to business and technology stakeholders. Requirements for a GenAI Specialist: Master … s/PhD in Computer Science, Data Science, Mathematics, or related field. 5+ years of experience in ML modeling, ranking, or recommendation systems . Proficiency in Python, SQL, Spark, PySpark, TensorFlow . Strong knowledge of LLM algorithms and training techniques . Experience deploying models in production environments. Nice to Have: Experience in GenAI/LLMs Familiarity with distributed computing tools More ❯

improvements. THE ROLE You'll join a skilled data team to lead the build and optimisation of scalable pipelines using DBT, Airflow, and Databricks. Working alongside data scientists and ML engineers, you'll support everything from raw ingestion to curated layers powering LLMs and advanced analytics.Your responsibilities will include: Building and maintaining production-grade ETL/ELT workflows with DBT … and Airflow Collaborating with AI/ML teams to support data readiness for experimentation and inference Writing clean, modular SQL and Python code for use in Databricks Contributing to architectural decisions around pipeline scalability and performance Supporting the integration of diverse data sources into the platform Ensuring data quality, observability, and cost-efficiency KEY SKILLS AND REQUIREMENTS Strong experience with … SKILLS Exposure to LLM workflows or vector databases Experience in the media, content, or publishing industries Familiarity with cloud data platforms (e.g., AWS or Azure) Knowledge of MLOps and ML/data science pipelines HOW TO APPLY To register your interest, please apply via the link or get in touch with your CV. More ❯

EDA, building, evaluation, deployment, monitoring) to deliver scalable MVPs. Develop and optimize production-grade data science models using Python. Design solutions for business challenges using diverse datasets and advanced ML/statistical techniques. Collaborate with cross-functional teams to enhance analytics practices. Write high-quality, maintainable Python code adhering to best practices. Stay updated on new techniques and share insights … data science or advanced analytics. Strong Python programming skills and experience with Test-Driven Development (e.g., pytest). Familiarity with version control and IT delivery tools. Ability to apply machine learning to solve business problems. Experience building predictive/prescriptive models for actionable insights. Excellent communication skills to present findings to diverse audiences. Nice-to-Haves Graduate/ More ❯

EDA, building, evaluation, deployment, monitoring) to deliver scalable MVPs. Develop and optimize production-grade data science models using Python. Design solutions for business challenges using diverse datasets and advanced ML/statistical techniques. Collaborate with cross-functional teams to enhance analytics practices. Write high-quality, maintainable Python code adhering to best practices. Stay updated on new techniques and share insights … data science or advanced analytics. Strong Python programming skills and experience with Test-Driven Development (e.g., pytest). Familiarity with version control and IT delivery tools. Ability to apply machine learning to solve business problems. Experience building predictive/prescriptive models for actionable insights. Excellent communication skills to present findings to diverse audiences. Nice-to-Haves Graduate/ More ❯

experience in implementing innovative solutions. Ideal applicants will demonstrate excellent problem-solving abilities, effective communication skills, and a collaborative mindset suited for hybrid work environments. A proactive approach to learning and adapting to new tools and methodologies will be essential. Additionally, a background in project management and the ability to work independently while aligning with team objectives will be … Stay updated on industry trends and emerging technologies in AI and automation to continuously enhance skill development and solution offerings. Skills and experience Strong understanding of artificial intelligence and machine learning concepts Proficiency in programming languages such as Python, Java, or C++ Experience with automation frameworks and tools Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) Ability … problem-solving skills Adaptability to rapidly changing environments Proactive and self-motivated attitude Excellent communication and collaboration abilities Attention to detail and a quality-focused mindset Passion for continuous learning and personal development Ability to work effectively under pressure Strong organizational and time management skills Creative thinking and innovation-oriented mindset Commitment to teamwork and achieving common goals More ❯

with asynchronous programming (e.g., asyncio, Celery). * Exposure to message brokers like RabbitMQ, Kafka. * Understanding of GraphQL, gRPC, or WebSockets. * Previous experience in architecting data-intensive or AI/ML-based systems. * Certifications in cloud technologies or architecture (AWS/Azure Architect, TOGAF, etc.). This is an excellent opportunity on a great project of work, If you are looking More ❯

for building platforms that empower clients. - Commitment to cybersecurity best practices and data privacy. - Automation-first mindset: from infrastructure to testing and deployment. - Growth mindset: You embrace change, continuous learning, and innovation. What's In It For You? - End-to-end ownership: Engage directly with customers to close feedback loops and shape the product. - Modern DevOps culture: Deploy microservices … Work with AI and expand your skills into Python and other emerging technologies. - Be part of a collaborative, forward-thinking team building the next generation of microservices platforms. - Continuous learning, we believe, ongoing training is key to success. Our Tech Stack - Frontend: React - Backend: Nest.js, Python/fastapi, LangChain Test Automation: Pact, Jest, Cypress, and Pytest (including AI test … banks and fintechs with cutting-edge, AI-powered regtech solutions. We're building a product and engineering team to drive the platform in an agile way, using AI and ML at its core, enabled by microservices running in AWS. We aim for full CI/CD, deploying as soon as tests are green. We value clarity, transparency, and craftsmanship in More ❯

parsing pipelines, validations, and rule Python Proficiency: Strong coding skills using libraries like pandas, NumPy, scikit-learn, PyTorch, and Hugging Face Transformers. Writing clean, modular, and testable code. Traditional Machine Learning Models: Experience with regression (linear, ridge), classification (logistic regression, decision trees, random forests), clustering (k-means, DBSCAN), and time-series forecasting (ARIMA, Prophet). Model evaluation, tuning More ❯

culture, enabling self-serve capabilities and empowering business users Introduce scalable data governance frameworks using industry-leading tooling (e.g. Collibra, Alation, Monte Carlo) Oversee the delivery of AI/ML initiatives and advanced analytics use cases in partnership with business and product teams Ensure compliance with regulatory standards (FCA, GDPR) while enabling data innovation Report directly into senior leadership (e.g. 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 ❯

for leading GSI in the software engineering market AI Solution Architect to design and implement AI-driven agent solutions for the online commerce space. Deep understanding of AI/ML models, cloud computing, and scalable system architecture. This role requires expertise in architecting intelligent agents, optimizing cloud-based deployments, and integrating AI services into enterprise applications. Key Responsibilities: Architect and … ECS, etc.) to deploy scalable AI solutions. Implement Full Stack JavaScript (Node.js, React.js, Express, TypeScript, Next.js, etc.) applications to support AI-driven interfaces. Work closely with data scientists and ML engineers to integrate machine learning models into cloud-native applications. Ensure security, scalability, and reliability of AI agent solutions in production environments. Design event-driven and serverless architectures … governance. Required: 5+ years of experience in solution architecture with a focus on AI, APIs, and cloud technologies. Strong hands-on experience with AWS services related to AI/ML and serverless computing. Proficiency in JavaScript, TypeScript, Node.js, React.js, and Express.js for building full-stack applications. Experience with AI/ML frameworks such as TensorFlow, PyTorch, OpenAI API, or LangChain. More ❯

or Tableau. Skilled in segmentation, stratification, equity analysis, and predictive analytics. Excellent project and stakeholder management, with ability to lead multiple complex streams simultaneously Experience in data science and machine learning projects in the healthcare sector. Desirable Previous experience working in, or collaborating with, academia, in high impact and multi-institutional settings. Previous experience or building or working More ❯

experience in data-driven marketing, analytics consultancy or similar Familiarity with quasi-experimental designs and A/B testing frameworks Background in software design, data structures or production-grade ML engineering Technical Toolbox Modelling & data : Python or R, SQL Containerisation : Docker Cloud platforms : AWS, GCP or Azure More ❯

analytics, recommendation systems, and NLP applications. Mentor and guide junior data scientists and analysts. Stay up to date with the latest research, tools, and techniques in data science and machine learning. … What We're Looking For 5+ years of experience in data science, machine learning, or a related field. Strong proficiency in Python (or R) and experience with ML frameworks like scikit-learn, TensorFlow, or PyTorch. Deep experience in building and deploying models at scale. Solid understanding of statistics, experimentation, and data storytelling. Experience working with cloud environments (AWS … adaptable, and collaborative. Why Join Us? Competitive compensation, including meaningful equity. Remote-friendly with flexible working hours. Work on high-impact projects that apply AI to real-world problems. Learning budget for conferences, courses, and books. Supportive, innovative team culture that values curiosity and experimentation. More ❯

images and text sources. The ideal candidate will have a strong background in machine learning, particularly within intelligent document processing, and be confident working with both traditional ML and generative AI techniques. Key Responsibilities: Build and deploy production-ready ML models focused on document processing, including OCR, NLP, and generative AI. Work closely with business stakeholders to understand … requirements and deliver tailored solutions. Collaborate with product managers and technical teams throughout the development lifecycle. Design, test, and iterate on new and existing ML features and components. Develop robust Python-based systems using a combination of ML/OCR tools and frameworks. Support the full lifecycle of ML applications, from development through deployment, monitoring, and maintenance. Required Experience: Proven … experience in Document AI/Intelligent Document Processing , using both traditional ML methods and Generative AI , preferably with open-source models. Solid Python programming skills with a focus on ML, NLP, deep learning, generative AI, and image/OCR processing. Hands-on experience with frameworks such as TensorFlow, PyTorch, Hugging Face, Spacy, OpenCV, Regex , or similar. Strong awareness of More ❯

skills Full UK work authorization Desirable Familiarity with cloud data platforms (Snowflake, Redshift, BigQuery) and ETL tools (dbt, Airflow) Experience with loyalty-programme analytics or CRM platforms Knowledge of machine-learning frameworks (scikit-learn, TensorFlow) for customer scoring Technical Toolbox Data & modeling: SQL, Python/R, pandas, scikit-learn Dashboarding: Tableau or Power BI ETL & warehousing: dbt, Airflow More ❯

data quality. Experimentation - set up offline metrics and online A/B tests; analyse uplift and iterate quickly. Production delivery - build scalable pipelines in AWS SageMaker (moving to Azure ML); containerise code and hook into CI/CD. Monitoring & tuning - track drift, response quality and spend; implement automated retraining triggers. Collaboration - work with Data Engineering, Product and Ops teams to … job. Review: inspect dashboards, compare control vs. treatment, plan next experiment. Tech stack Python (pandas, NumPy, scikit-learn, PyTorch/TensorFlow)SQL (Redshift, Snowflake or similar)AWS SageMaker Azure ML migration, with Docker, Git, Terraform, Airflow/ADFOptional extras: Spark, Databricks, Kubernetes. What you'll bring 3-5+ years building optimisation or recommendation systems at scale. Strong grasp of … mathematical optimisation (e.g., linear/integer programming, meta-heuristics) as well as ML. Hands-on cloud ML experience (AWS or Azure). Proven track record turning prototypes into reliable production services. Clear communication and documentation habits. More ❯