20 of 20 Contract Machine Learning Jobs in the South East

Machine Learning Engineer 6 Month Contract UK Based Join us as a Senior Machine Learning Engineer In this role, you'll be driving and embedding the deployment, automation, maintenance and monitoring of machine learning models and algorithms Day-to-day, you'll make sure … problems and enjoy excellent career development What you'll do Your daily responsibilities will include you collaborating with colleagues to design and develop advanced machine learning products which power our group for our customers. You'll also codify and automate complex machine learning model productions, including ...

Machine Learning Engineer (Python/MLE ) 6 Month Contract £650 - £750 Remote Umbrella Urgent Start We are looking for a number of MLE/Machine Learning Engineers for a critical 6 month contract with a household name. This role is essential for maintaining the stability … major public cloud provider (GCP, AWS, or Azure). Experience with BigQuery would be good. Machine Learning: Experience supporting and understanding ML pipelines and models in a production setting. Direct experience with Google Cloud Platform, BigQuery, and associated tooling. Experience with workflow tools like Airflow or Kubeflow. Familiarity ...

learning across Affinity Water on a 24 month FTC. Youll work with data scientists, engineers, architects, and stakeholders to deploy, monitor, and maintain ML models in robust, scalable, and secure production environments, turning advanced analytics into sustained business value. What Youll Do Build, maintain, and optimise automated ML deployment … pipelines with CI/CD, containerisation, and orchestration. Monitor model performance, data drift, and system health to ensure reliability and availability. Support ML platforms and infrastructure on-premise or in the cloud (AWS, SageMaker), ensuring scalability and security. Collaborate with data scientists to productionise models and embed ML Ops best ...

with an AI company in the trade and logistics space at a critical inflexion point, moving from enterprise pilots into production deployments. With strong ML capability already in place, they now need a senior contractor to come in and audit, structure, and productionise their existing ML systems . This role … building from scratch. The Role You will work directly with the technical co-founders to bring structure, scalability, and best practices across their ML and data setup, ensuring it is ready to support multiple enterprise deployments. Key responsibilities: * Audit current ML architecture, pipelines, and MLOps practices * Identify gaps in documentation ...

Data Scientist/Machine Learning Scientist - Outside IR35 Location: London (Hybrid) Length: 6 months Ready to build and deploy real AI systems at scale? Join a growing AI teams, where you'll shape how AI transforms global business. We're hiring hands-on operators who deliver production-ready ...

/CD pipelines (e.g., Azure DevOps) and infrastructure-as-code tools (e.g., Terraform) Familiarity with modern data platforms such as Snowflake Exposure to machine learning/AI workflows and related tooling Strong familiarity with Python libraries and developer tooling Nice to Have Experience in investment or financial services ...

between cost, latency, and production-scale performance. What you'll bring Proven extensive lead-level engineering experience delivering sports insights or sports data–driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data … other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi-modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands ...

week. Key responsibilities Front end implementation for a React application Visualizing and interacting with scientific data and workflow progression Integration of AI/ML components with frontend, backend, data and compute infrastructure Responsible for high quality software implementations according to best practices, including automated test suites and documentation Develop, measure ...

Understanding of Agile delivery methods Desirable: Experience or knowledge CI/CD pipelines and build tools (GitLab CI, Jenkins, AWS) Understanding and awareness of Machine Learning pipelines Familiarity with containerisation and cloud platforms (Docker, Kubernetes, AWS, Azure) Exposure to additional automated testing frameworks (Selenium, Junit, NUnit) ISTQB Foundation ...

responsibilities: Own full MMM project cycles - from data strategy and modelling to insights, activation, and client recommendations. Apply econometrics, regression, Bayesian methods, and machine learning to large, complex datasets. Produce dashboards, decisioning tools, and visual analytics using internal frameworks. Translate technical outputs into clear, strategic recommendations for senior ...

small team Strong communication skills and willingness to ask for support when needed Bonus Points Experience designing data models to support AI/ML or LLM-based analytics Interest in using AI tools to enhance developer productivity Exposure to semantic layers or metrics layers Experience with customer data Ability ...

complex unstructured data (documents, images, PDFs) and help design intelligent, production-ready AI solutions. What you’ll be doing Analysing and optimising AI/ML models (especially LLMs) Applying statistics, probability, and optimisation techniques Designing GenAI workflows, prompts, and agentic pipelines Extracting insights from unstructured data Leading technical decisions ...

implementing scalable, multi-source data pipelines and architecture About you: Strong experience with Python and AWS Deep knowledge of data pipelines, AI/ML systems and modelling Experience with LLM- or NLP-powered platforms Strong focus on scalable, reliable system design Please apply now and reach out to Adam ...

tooling (e.g., Jira) Hands-on experience with a range of databases and storage technologies: Elastic, Mongo, Cassandra, Redis, S3 Desirable Skills PyTorch, AI/ML, NLP, LLMs Experience with the Atlassian Suite, GitHub, Linux CLI Broader data handling and advanced model-driven development exposure To learn more, please do reach ...

tooling (e.g., Jira) Hands-on experience with a range of databases and storage technologies: Elastic, Mongo, Cassandra, Redis, S3 Desirable Skills PyTorch, AI/ML, NLP, LLMs Experience with the Atlassian Suite, GitHub, Linux CLI Broader data handling and advanced model-driven development exposure To learn more, please do reach ...

knowledge Understanding of IBP master data, planning operators, and forecasting methods Strong communication and stakeholder skills Desirable: SAP IBP certification Experience with ML/AI forecasting integration Python, R, or external forecasting tools ...

forecasting, including scenario modelling Experience with major energy hubs (e.g., TTF, JKM) and cross-commodity linkage Solid understanding of feature engineering, statistical modelling, and ML workflows Strong Python skills (e.g., pandas, NumPy, Jupyter) Strong analytical thinking with the ability to simplify complex concepts If this sounds like a good ...

regular project tracking, budget forecasting and project delivery alignment Confident managing multiple 3 party suppliers and cross-dependent teams Sound knowledge of AI and Machine learning platforms and services Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community ...

articulate value, risks, dependencies, and readiness for implementation in regulated environments. The ability to provide deep technical and architectural insight across modern AI/ML (including GenAI), data platforms, knowledge graphs, and semantic technologies (e.g. ontologies, standards, governance), ensuring recommendations are practical, secure, and future proof. Strong advisory experience with ...

What We’re Looking For Strong experience as an AI/ML Engineer or Applied ML Engineer Deep hands-on knowledge of Google Cloud Platform (Vertex AI, BigQuery, Cloud Run, GKE, Pub/Sub) Proven track record building LLM, GenAI, or traditional ML solutions end-to-end Comfortable in startup … scale-up environments — fast-moving, iterative, delivery-focused Strong Python engineering experience Experience with MLOps, CI/CD, IaC, and productionising ML models Ability to work collaboratively with product, data, and engineering teams Contract Details Location: Hybrid London (2–3 days onsite) Start Date: ASAP Length: 6 months rolling ...