1 to 25 of 46 Contract Machine Learning Jobs in the South East

engineering and AI solutions that power advanced analytics and AI initiatives across the Trust and beyond. This position requires strong technical capability in SQL, data pipeline architecture, statistical analysis, machine learning, and predictive analytics, combined with a sound understanding of clinical and operational environments. The Clinical Data Engineer will be responsible for developing high-quality health datasets, enhancing … Experience Essential Degree in Computer Science, Data Science, Statistics, Engineering, or equivalent. Proficiency in Python, SQL, ETL, APIs, and cloud platforms (AWS/Azure/GCP). Knowledge of ML algorithms, operationalisation, and model monitoring. Strong understanding of governance, security, and ethical frameworks in health data. Excellent communication, influencing, and negotiation skills. Experience delivering complex projects and mentoring others. Desirable … Postgraduate qualification (MSc/PhD) in data science, ML, or related subject. Experience with health data standards (HL7, FHIR, SNOMED). Familiarity with NHS datasets and national initiatives. Experience with BI tools such as Power BI, Tableau, or Looker. Research track record with academic or industry partners. Analytical & Judgement Skills Applies advanced methods to large and complex datasets. Evaluates competing More ❯

with long term potential Global Retail business is looking for a Data Scientist to join their advanced data science team. This is an exciting opportunity to apply cutting-edge machine learning techniques to real-world problems, driving innovation and value across a data-rich business environment. Key Responsibilities: Design … build, and deploy data science solutions to support business initiatives, with a focus on machine learning and time series forecasting. Collaborate with cross-functional teams to integrate ML models into production systems using modern cloud platforms. Communicate insights and model outputs to stakeholders in a clear, actionable way. Key Skills & Experience: Proven experience working as a Data Scientist … such as Pandas, Scikit-Learn, Jupyter, and Matplotlib. Proficient in SQL for data extraction and transformation. Experience with Google Cloud Platform (GCP) and Vertex AI for developing and deploying ML services is highly desirable. Solid understanding of time series analysis and forecasting techniques. Strong foundation in computer science principles - data structures, algorithms, software architecture, and data modelling. Deep understanding of More ❯

Head of ML | Contract | £750pd | Outside IR35 | Hybrid, 2-days per week | London My client is on the lookout for a Head of Machine Learning to join the team on a contract basis. This client is a consultancy and have had an influx of AI/ML work, without having the headcount to oversee some of the projects. … So, we're looking for the right person to come in and look after two teams of ML Engineers and Data Scientists and oversee the delivery of work for their clients. The role has been determined outside IR35 and will run for a minimum of 6-months. Technical Skills Machine Learning & Deep Learning Supervised/unsupervised/… training, validation, and evaluation Deep learning architectures (CNNs, RNNs, Transformers) Data Science Statistical analysis, feature engineering, A/B testing Experiment design and hypothesis testing MLOps & Engineering Scalable ML systems (batch and real-time) ML pipelines, CI/CD, monitoring, deployment Familiarity with tools like MLflow, Kubeflow, Airflow, Docker, Kubernetes Strategic skills Align ML initiatives with business goals Prioritize More ❯

PRA SS1/23. The ideal candidate will have a strong quantitative background, hands-on programming experience in Python, and a track record of developing or validating AI/machine learning or statistical models in surveillance or conduct risk contexts. Key Responsibilities Independently validate and periodically review trade surveillance models for robustness and regulatory compliance Evaluate data quality … across surveillance systems Review model documentation for conceptual soundness, implementation quality, and governance controls Conduct benchmarking, backtesting, and stress testing using Python to challenge model design Assess statistical and machine learning-based surveillance systems for transparency and effective alert thresholds Provide quantitative and qualitative assessments of model accuracy, stability, and business suitability Collaborate with model developers, compliance, and … senior stakeholders Support regulatory validation work under FCA and other relevant frameworks Contribute to the enhancement of validation methodologies for surveillance models Skills and Experience Experience in data science, machine learning development or validation, or a quantitative role in financial services or regulated industries Strong academic background in data science, statistics, mathematics, computer science, or a related field More ❯

Senior Machine Learning Engineer 3 Month Contract Initially with most probable extension Location- London- Working Remotely Are you a Senior ML Engineer with a passion for building large-scale, production-ready systems? We're looking for a talented professional to join a leading global digital entertainment platform. This is a fantastic opportunity to work on a 3-month … contract with a high probability of extension. The Role We need a Senior ML Engineer to help us design, build, and deploy robust machine learning systems that power our platform. You'll be a key part of our team, tackling complex challenges and ensuring our models are scalable and reliable in a production environment. What You'll Bring … Production Experience : Proven track record of developing large-scale ML systems. We're particularly interested in candidates who have experience at large, international companies. Technical Skills : Strong proficiency in languages like Java, Scala, or Python . Deep Learning Frameworks : Hands-on experience with either PyTorch or TensorFlow . Experience : Previous experience working on distributed systems is a plus. This More ❯

The Role As a Data Scientist, you'll work within a multidisciplinary team to extract insight from complex, high-volume datasets. You'll design and implement advanced analytical and machine learning models, develop robust data pipelines, and deliver actionable intelligence to inform decision-making at the highest levels. This role offers the opportunity to apply your technical skills … and mission specialists to ensure data-driven outcomes that make a tangible difference. Key Responsibilities Perform data wrangling , cleaning, transformation, and preparation of large, complex datasets Develop and deploy machine learning models to solve real-world operational problems Write clean, maintainable Python code for data analysis, automation, and modelling Collaborate with engineers and analysts to integrate models into … technical and non-technical stakeholders Contribute to the ongoing improvement of analytical tooling and processes Skills & Experience Current enhanced DV clearance (mandatory) Proven experience in a data science or machine learning role Strong programming skills in Python and familiarity with key data libraries (e.g. pandas, NumPy, scikit-learn) Experience with data wrangling , feature engineering, and model optimisation Understanding More ❯

Job Title: Machine Learning Engineer (Data/ML) Location: London/Hybrid - Once a week (Thursday) in London Duration: 6 Months Day Rate: £500 per day overall assignment rate to umbrella. This is a greenfield based project with crossover from another tech team conducting a similar model. You will collaborate with the Data Scientist, Data Architect, and cross … Tech Teams , supporting the build phase while contributing hands-on technical expertise. Key Responsibilities: Work with the Senior Engineer/Tech Lead to implement and optimise data pipelines and ML models. Develop high-quality, maintainable code in Python and PySpark. Use SQL and Jupyter to analyse, transform and validate data for ML use cases. Operate in a cloud environment (AWS … . Collaborate with stakeholders and technical teams to deliver solutions that support business growth. Skills & Experience Required: Strong hands-on experience in Python, PySpark, SQL, Jupyter . Experience in Machine Learning engineering or data-focused development. Exposure to working in cloud platforms (AWS/Azure) . Ability to collaborate effectively with senior engineers, data scientists, and architects. Proactive More ❯

AI Software Developer (Python, JavaScript, ML) - London/Hybrid Day rate: £500 - £800 (inside IR35) Duration: 6 - 12 months Start: ASAP Hybrid: 3 days on site per week My client is looking for a Software Developer with AI, Python and JavaScript experience to join on a contract basis. As a Software Developer - AI, you will focus on the development and … to integrate AI models into digital products, ensuring seamless user experiences. Collaborate with AI specialists to test and deploy models, ensuring they meet performance, security and scalability requirements Continuous Learning and Improvement Stay up to date with the latest AI and machine learning technologies, incorporating new tools and techniques into your development work. Participate in agile team … meetings, providing input on sprint planning, task estimation, and iterative improvements Requirements: 3+ years of experience in software development, with exposure to AI or machine learning projects. Proficient in Python and JavaScript, ideally with hands-on experience in building Gen AI proof of concepts or integrating LLM APIs. Familiarity with AI platforms such as OpenAI, Anthropic, or Databricks. More ❯

You will have: Minimum of 10 years in technical architecture on the enterprise level. Experience working in interdisciplinary teams to design and deliver solutions. Extensive experience in AI/ML architecture and system design (minimum 2 years) with proven expertise in hands-on coding AI solutions. Deep knowledge of machine learning frameworks, cloud platforms (AWS, Azure, GCP), and … MLOps(machine learning operations) practices. Deep knowledge about design and implementation of secure integrations between AI solutions and legacy enterprise software, whilst ensuring compliance with government-level security requirements, implementing single sign-on (SSO) authentication protocols, and maintaining appropriate access controls for OFFICIAL and OFFICIAL-SENSITIVE information handling. Deep knowledge about costing of AI models to produce reasonable More ❯

Senior ML Engineer | £750/day | Remote | 6 Months+ | UK | We're hiring a very senior Machine Learning Engineer to lead model optimization for a cutting-edge AI hardware platform built for high-performance edge inference. Backed by $200M+ in funding, this stealth-mode startup is reimagining how AI runs in real-time; on-device, energy-efficient, and … ONNX, OpenVINO, TVM) Collaborate with hardware, compiler, and embedded teams Benchmark and validate performance in real-world edge scenarios (CV, robotics, industrial AI) What You Bring 7+ years in ML engineering, with deep expertise in model optimization for edge or custom silicon Strong knowledge of neural networks, hardware-aware inference, and deployment pipelines Hands-on with embedded inference toolchains and … performance profiling Python, C++, and a mindset for getting things running fast and efficiently | Senior ML Engineer | £750/day | Remote | 6 Months+ | UK | RSG Plc is acting as an Employment Business in relation to this vacancy. More ❯

make personalised treatments faster, more effective, and more accessible - and this role is key to that vision. The team is building cutting-edge data infrastructure to power scientific and ML applications, and they're seeking a Data Engineer with strong experience developing scalable, high-quality data pipelines in the cloud. The Role You'll join a team of data scientists … bioinformaticians, and engineers working at the intersection of healthcare and AI. Your focus will be on designing and maintaining the data pipelines that feed large-scale ML and research workflows. Day-to-day responsibilities include: Building and maintaining data pipelines using Python, SQL, Spark, and Google Cloud technologies (BigQuery, Cloud Storage). Ensuring pipelines are robust, reliable, and optimised for … AI/ML use cases. Developing automated tests, documentation, and monitoring for production-grade data systems. Collaborating with scientists and ML engineers to meet evolving data needs. Participating in code reviews, introducing best practices, and continuously improving performance and quality. Tech Stack & Skills Core Skills: Strong experience with Python and SQL in production environments Proven track record developing data pipelines More ❯

improve patient outcomes worldwide - and they're seeking a Backend Software Engineer to help bring that mission to life. The Role You'll be joining a multidisciplinary AI/ML team responsible for developing the infrastructure and software that powers cutting-edge research and intelligent applications. The role focuses on backend development in Python , integrating AI components with data, compute … frontend systems to create scalable, high-performance solutions. Day-to-day responsibilities include: Designing and implementing backend services for Python-based web applications (e.g., FastAPI). Integrating AI and ML components into production systems and APIs. Writing high-quality, well-tested, and well-documented code following best practices. Developing and monitoring metrics to improve system reliability and performance. Collaborating closely … with frontend engineers, data engineers, and ML specialists to build end-to-end pipelines. Participating in agile ceremonies and code reviews to uphold quality and delivery standards. Tech Stack & Skills Core skills: Strong Python backend development experience (FastAPI or similar frameworks) Cloud-native deployment experience (preferably Google Cloud and Cloud Run) Unit testing experience (pytest or similar frameworks) Familiarity with More ❯

tech stack. THE ROLE As a Contract Python Backend Engineer , you'll take ownership of backend development for a Python-based web application, ensuring smooth integration with AI/ML pipelines and data infrastructure. You'll work closely with data engineers, AI specialists, and frontend developers to deliver robust, production-quality software. Key Responsibilities: Build and maintain Python web applications … FastAPI preferred) Integrate AI/ML components with backend, data, and compute infrastructure Deliver clean, well-documented code following best practices Implement automated testing frameworks and CI/CD workflows Monitor and improve performance metrics across deployed tools Collaborate with technical teams to develop end-to-end data pipelines YOUR SKILLS AND EXPERIENCE Essential: Proven Python backend development experience (FastAPI … a computational, numerate, or life sciences discipline (or equivalent experience) Preferred: Docker and containerized application experience Experience in scientific or pharmaceutical domains (e.g. genomics, proteomics) Familiarity with AI/ML-powered applications and agent-based frameworks (LangGraph, PydanticAI, AutoGen) Knowledge of AI/ML evaluation and iterative model improvement Exposure to frontend technologies (React desirable) THE BENEFITS Competitive day rate More ❯

product Ensure Development, AI and Digital Product Delivery adhere to best practices, agreed standards, policies and procedures, as well as governance and compliance are adhered to Adopt a continuous learning and improvement mentality, promoting an innovative culture, staying up to date with trends Build and maintain early-stage product ideas/concepts using C# and .NET Contribute to full … years’ experience as a C# Developer with proficiency in Python, .NET framework and C# as well as experience with ML.NET, ASP.NET, MVC, Web API Containers (Docker/Kubernetes), Machine Learning Operations (MLOps) and CI/CD Good knowledge of IT industry trends (especially GenAI and AgenticAI), suppliers, platforms and products Post productions MLOps, Model retaining and Drift monitoring … JSON Strong command of SQL for database management, query optimisation and No SQL databases Experience in Python Programming and data visualisation using PowerBI or similar tools Exposure to applying ML algorithms, libraries or frameworks and build models to predict outcomes and automate processes Significant experience working within an Agile software development and delivery process. Comfortable participating in backlog estimation, planning More ❯

with excellent attention to detailKnowledge of a wide variety of Generative AI modelsConceptual understanding of how large language models workProficiency in coding languages for data manipulation (e.g., SQL) and machine learning & AI development (e.g., Python)Experience with dashboarding tools such as Power BI and Tableau (beneficial but not essential)Experience with cloud native tooling for Azure and AWSStrong More ❯

doing: Build and maintain Python backend systems for GenAI evaluation Integrate LLM components with data and compute infrastructure Deliver clean, well-tested, production-grade code (FastAPI preferred) Collaborate with ML engineers, data scientists, and DevOps teams Participate in agile delivery and CI/CD improvement initiatives Key Skills: Python, FastAPI, Cloud (GCP/AWS), CI/CD, Git/GitHub More ❯

data). Knowledge of bioinformatics or large-scale research data. Familiarity with Nextflow, Airflow, or Google Workflows. Understanding of NLP techniques and processing unstructured data. Experience with AI/ML-powered applications and containerised development (Docker). Contract Details Day Rate: £750 (Inside IR35) Location: London - 3 days per week onsite Duration: 6 months (potential to extend) How to Apply More ❯

on cutting-edge AI and Machine Learning solutions, collaborating with multidisciplinary teams to deliver secure, scalable, and innovative technology. Key Responsibilities Design, develop, and deploy AI/ML models for real-world applications. Collaborate with data scientists, engineers, and stakeholders to deliver robust solutions. Ensure all work complies with security and governance standards. Contribute to the development of … AI best practices and frameworks. Essential Skills Active SC Clearance (must be current) Strong experience in AI/ML engineering (Python, TensorFlow, PyTorch, etc.) Experience with cloud platforms (AWS, Azure, or GCP) Solid understanding of data pipelines, APIs, and MLOps Excellent problem-solving and communication skills More ❯

who are looking for a contract Data Architect to join an AI programme. This individual will be responsible for designing and implementing modern data architectures that enable advanced analytics, machine learning and AI capabilities. … Data Architect, key responsibilities: Design and implement high-performance data architectures to support AI and analytics workloads Develop and maintain data models and governance frameworks that enable AI and ML systems Partner with Data Scientists, ML Engineers, and Software Engineers to deliver AI Lead data platform modernisation efforts Define data standards, metadata, lineage and quality frameworks Collaborate with stakeholders to More ❯

Our client at very well known Retail Giant is currently looking to hire a Senior/Lead Technical Engineer (Data/ML) based from their offices in London. As the Senior/Lead Tech Engineer/Manager (Data/ML) you will be part of build a small team and mentor during the build phase along with the Engineering Manager. … Job Title: Senior/Lead Tech Eng/Manager (Data/ML) Location: London/Hybrid - Once a Week (Thursday) in London Duration: 6 Months Day Rate: £550 to £600prd (Inside IR35 - Umbrella) This is a greenfield based project with crossover from another tech team conducting a similar model. Interaction with Key Stakeholders and like minded Tech Teams is essential. … Lead/Senior Engineering Level Mentoring/Team Leading experience - REQUIRED/Demonstrable on CV (Full Support from Engineering Manager is also available) Hands on development/engineering background Machine Learning or Data Background Technical Experience: PySpark, Python, SQL, Jupiter Cloud: AWS, Azure (Cloud Environment) - Moving towards Azure Nice to Have: Astro/Airflow, Notebook Reasonable Adjustments: Respect More ❯

Automate and Dataverse Strong understanding of enterprise integration patterns, API authentication, and data governance Experience with custom connector development, Azure Logic Apps, or Azure Functions Familiarity with AI/ML concepts, including LLMs, agentic workflows, and prompt engineering Solid programming skills in PowerShell, JavaScript, or Python Excellent communication and stakeholder engagement skills Ability to work in agile, cross-functional teams More ❯

s excited to help build the data foundations that power cutting-edge AI solutions. You'll join a high-impact team working at the intersection of data, analytics, and machine learning - designing pipelines and infrastructure that make innovation possible at scale. Role Design, build, and maintain scalable data pipelines that fuel AI and analytics initiatives. Partner closely with More ❯

and Outlook for enterprise data access. Deploy solutions using AKS, Azure Container Apps, and enforce identity controls via Entra ID. Required Skills & Qualifications Strong technical background in AI/ML systems and secure product design. Hands-on experience with: Microsoft Power Platform (Copilot Studio, Power Automate, Power Apps) Azure AI Services, Microsoft Graph API, and Semantic Kernel Microsoft Purview for More ❯

and motivated Developer to help shape the future of generative AI applications, with a strong focus on safety, usability, and technical excellence. This role blends cutting-edge AI/ML development with user research and full-stack integration, offering a unique opportunity to work at the intersection of innovation and impact. Key Responsibilities Define and implement safety metrics for generative … AI systems, particularly language-based models. Conduct user research to identify risks, failure modes, and areas for improvement in AI applications. Integrate AI/ML components with frontend, backend, data pipelines, and compute infrastructure. Develop high-quality software following best practices, including active participation in code reviews. Collaborate with engineers and data teams across functions to build robust, end-to … workflows. Familiarity with agile methodologies and working in agile development environments. Strong grasp of modern software development tools and practices (e.g., Git/GitHub). Experience deploying AI/ML-powered applications, especially those involving NLP, language models, or agent-based frameworks (e.g., LangGraph, PydanticAI, AutoGen). Background in user research specific to AI applications. Knowledge of AI/ML More ❯

oversee transformative cloud solutions for tier-1 clients across multiple sectors. You'll work on everything from migrating legacy applications to building cloud-native solutions that support AI and machine learning initiatives. You'll collaborate closely with developers, data scientists, and business stakeholders to ensure scalable, secure, and high-performing cloud architectures. What you'll do Design and … native architectures. Optimize cloud costs and performance, including GPU-based and serverless workloads. Provide technical guidance and best practices to development teams. Collaborate across teams to deploy AI/ML pipelines into production. Evaluate and recommend new cloud services to improve efficiency and effectiveness. What we're looking for AWS Cloud certification (Associate or Professional level). 5+ years' experience … cloud performance across platforms. Why apply Our client offers a competitive salary, 25 days' vacation, private medical insurance, and a generous pension plan. You'll have access to continuous learning, certifications, and the opportunity to work with cutting-edge cloud technologies in a collaborative, innovative environment. Flexibility and client-facing travel are required to deliver exceptional outcomes. Security requirements More ❯