1 to 25 of 27 Contract Machine Learning Jobs in the South East

Role/Job title Data Scientist - Azure ML Ops & Databricks Work Location Wokingham, UK Role type - Permanent/Fixed Term/Contracting Contracting Mode of working Hybrid/office based Office based 5 Days in Office If Hybrid, how many days are required in office? NA Number of positions 1 Duration of assignment 06 Months Any other working conditions - travel …/on call/shifts To be published on job boards from below onwards The Role: Data Scientist - Azure ML Ops & Databricks Your responsibilities: Data Analysis & Modeling: Utilize Python for advanced data analysis, exploration, and processing to uncover actionable insights. Develop and implement machine learning models and algorithms using Python , Azure Machine Learning , and Databricks . … ML Ops & Deployment: Manage and optimize ML Ops processes within the Azure environment, ensuring efficient deployment, monitoring, and maintenance of models. Collaboration & Business Alignment: Work closely with cross-functional teams to understand business requirements and translate them into data-driven solutions. Data Engineering & Governance: Develop and maintain large-scale data models to support analytics and reporting needs. Ensure data quality More ❯

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 and performance of their core data and Machine Learning … November. This is a deeply technical engineering role focused less on new feature development and more on reliability and fixes. Key Skills: Investigating and debugging complex data flow and Machine Learning issues within a live, high impact production environment. Extensive Python, NumPy and Pandas is required for this role. You must demonstrate a deep commercial background in the … Cloud Experience: Solid experience with any 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 with dbt (Data Build More ❯

but we are also open to hiring a contractor for an initial 6 month period, working via agency. The role is inside IR35. Role and Responsibilities As a Senior Machine Learning Research Engineer in Speech/Audio/Gen-AI, you will: Drive the research, design, development, and evaluation of innovative AI algorithms and models, with a primary … Science/Engineering, Electrical Engineering, Mathematics, or a related discipline. Professional software development experience with Python (experience with C++, Java, or Kotlin is a plus). Deep understanding of machine learning and deep learning fundamentals, including various architectures, training techniques, and evaluation metrics. Strong experience in audio/speech processing, including areas such as speech recognition, speech … enhancement, audio analysis, text-to-speech synthesis, and natural language processing. Proficiency with machine learning frameworks such as TensorFlow or PyTorch. Solid understanding of software engineering principles, including version control (Git), CI/CD pipelines, and agile development methodologies. Excellent communication, collaboration, and problem-solving skills. Demonstrated ability to translate research ideas into practical, production-ready solutions. Desirable More ❯

Engineer sought by leading investment bank based in the city of London. **Inside IR35, 4 days a week on site** The role:To lead the design and deployment of ML-driven models across our trading and investment platforms. This is a high-impact, front-office role offering direct collaboration with traders, quant researchers, and technologists at the forefront of financial … innovation. Your Role Design, build, and deploy state-of-the-art ML models for alpha generation, portfolio construction, pricing, and risk management Lead ML research initiatives and contribute to long-term modeling strategy across asset classes Architect robust data pipelines and scalable model infrastructure for production deployment Mentor junior quants and engineers; contribute to knowledge-sharing and model governance processes … Stay current with cutting-edge ML research (e.g., deep learning, generative models, reinforcement learning) and assess applicability to financial markets Collaborate closely with cross-functional teams, including traders, data engineers, and software developers What We're Looking For Required: 7+ years of experience in a quant/ML engineering or research role within a financial institution, hedge fund More ❯

AI Developer - Azure, ML, AI Foundry £Market Rate (Inside IR35) Hybrid/South West London 6 months I am currently recruiting for an AI Developer with expertise in the Microsoft ecosystem, particularly Azure AI services and AI Foundry, to help design, develop, and deploy advanced AI solutions utilising your skills in building scalable AI applications, integrating with enterprise systems, and … leveraging Microsoft's AI tools to deliver business value. Key requirements: Technical Expertise in Azure AI services, Azure Machine Learning (ML), and AI Foundry. Hands-on experience with Azure Cognitive Services, Azure OpenAI, and Azure Data Factory. Solid programming skills (Python/C#,/.NET) Experience with Azure DevOps, CI/CD pipelines, and GitHub Actions. Knowledge of … containerization (tools ie Docker) and orchestration (ie Kubernetes on Azure). Good awareness of Data & AI - understanding of ML lifecycle, MLOps, and Responsible AI. Strong problem-solving and analytical skills. Excellent communication and stakeholder management skills. Nice to have: Familiarity with LLM fine-tuning. Strong academic background in IT/Computer Science/Artificial Intelligence/related field Microsoft/ More ❯

Design, develop, and maintain data pipelines and data integration solutions using Azure Data Factory, Synapse Analytics, and related services. Build and optimise data models to support reporting, analytics, and machine learning use cases. Implement robust data quality, governance, and security practices across the data ecosystem. Collaborate with analysts, data scientists, and business stakeholders to understand data needs and 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 ❯

reporting for ALMT activities across multiple jurisdictions. Assist in data analysis and model development for risk assessment. Required Skills & Experience: Technical Skills: Strong knowledge of Python , data science , and machine learning . Hands-on experience with Large Language Models (LLMs) and AI chatbots . Domain Knowledge: Good understanding of risk management principles. Familiarity with financial products is a More ❯

Central Government agency, working on advanced data and AI-driven solutions to support a mission critical project. This role offers the opportunity to work on cutting-edge initiatives applying Machine Learning, Natural Language Processing, and Large Language Models (LLMs) within a secure environment. Key … Skills & Experience: Proven experience as a Data Scientist , ideally in a government or large-scale enterprise environment. Strong Python programming skills, including experience with data science and AI/ML frameworks (e.g., Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow). Experience developing and fine-tuning LLMs and working with generative AI tools. Hands-on experience with Microsoft Azure (Azure ML, Databricks … complex datasets. Strong understanding of data ethics, governance, and responsible AI principles. Must have SC Clearance and 5 years' continuous UK residency . Desirable: Experience with MLOps or deploying ML models into production. Familiarity with data engineering workflows and pipelines. Knowledge of working in a secure or public sector environment. If you believe your experience is in line with the More ❯

the AWS Data Engineer: Experience with Databricks , Kafka , or Kinesis for real-time data streaming Knowledge of containerisation (Docker, ECS) and modern orchestration tools such as Airflow Familiarity with machine learning model deployment pipelines or data lakehouse architectures Data Engineer, AWS Data Engineer More ❯

Snowflake, Databricks, Spark) and ETL processes. Useful experience; Python or R for advanced analytics, automation, or experimentation support. Knowledge of statistical methods and experimentation (A/B testing) preferred. Machine learning and Generative AI experience is a plus. Experience working with call centre and/or sales operations. Benefits Long contract Hybrid role Free breakfast More ❯

pensions, insurance, or employee benefits domains. Strong SQL skills and experience working with large, complex data sets. Proficiency in SQL and Python or R, with hands-on experience in machine learning, predictive modeling, and statistical analysis. Proven experience working directly with product analytics platforms like Mixpanel, Amplitude, or similar tools. Experience with data visualization and BI tools (e.g. More ❯

Experience Proven experience leading technical delivery of AI/automation solutions using Microsoft Copilot Studio and Power Platform. Hands-on expertise in Python for automation, integration, or AI/ML tasks. Strong understanding of MCP (Microsoft Cloud Platform), A2A (Application-to-Application) integration, and Azure AI Foundry. Track record of embedding controls, governance, and compliance in technical solutions. Experience in More ❯

designing reference architectures. Participate in operational considerations: performance tuning, capacity planning, availability, disaster recovery, security compliance. Stay up to date with new ServiceNow features, modules, trends (e.g., AI/ML, data fabric, Now Assist), assess applicability, and recommend adoption where relevant Required Qualifications & Skills Experience : Typically 10+ years of relevant experience in IT, of which several years are hands-on More ❯

the IM Domains (Customer Support and Infrastructure/Information Systems). Responsibilities cover analysis, monitoring, reporting, alerting, and investigation activities using a variety of security platforms, including AI/ML and behavioural analytics, SIEM (Security Information Event Management), Network Packet Capture, Anti-Malicious Code, and Threat Detection technologies across the UK Network Perimeter. The SOC Analyst reports to the SOC More ❯

matching techniques and the ability to deliver production-ready solutions where ground truth is unavailable. Key responsibilities include; Develop and optimise entity resolution models using Splink. Apply statistical and machine learning approaches to improve matching accuracy. Design scalable solutions for linking records across diverse datasets. Validate and document methodologies to ensure transparency and reproducibility. Collaborate with technical teams More ❯

architecture and ETL processes. Ability to work independently in a remote environment. Nice-to-Have Experience with CI/CD pipelines for data solutions. Familiarity with Delta Lake and ML pipelines . Start Date: ASAP Contract Type: Outside IR35 Apply Now: If you're a skilled Data Engineer looking for a flexible, remote opportunity with a Databricks Partner , we'd More ❯

Data Engineer to join a scaling startup in the Education sector Salary up to £70k , depending on experience Fully remote role (Europe-based) Tech stack: Python, GCP, PostgreSQL, MongoDB, ML If you wish to keep your CV/data private, feel free to WhatsApp your details/CV to me, Dan - WHO WE ARE: We're an EdTech startup building … for exams and supports children in improving their reading and writing skills. As we continue to scale, we're expanding our data engineering capability to strengthen our AI-driven learning ecosystem. WHAT YOU WILL BE DOING: Design, build, and maintain ETL/ELT data pipelines and integrations to support platform and analytics needs. Develop scalable, reliable data architectures using … to process (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS: GCP | Python | SQL | MongoDB | Airflow | dbt | Terraform | Docker | ETL | AI | Machine Learning More ❯

a high-impact 6-month contract focused on defining the next generation of multilingual AI quality. This remote role is ideal for a specialist who bridges linguistic nuance with machine learning evaluation methods. You Will: Design & Implement: Create advanced multilingual evaluation frameworks … and scoring rubrics (e.g., based on MQM, COMET). Calibrate AI: Validate and fine-tune AI evaluation tools (like QUAIL/MetricX) against human gold standards. Collaborate: Partner with ML Engineers to build and test linguistic data pipelines and synthetic data generation. Ensure Global Quality: Analyze model outputs across locales to guarantee accuracy, fluency, and cultural fit for millions of … global users. Required Experience: Expertise in LLM Evaluation or Machine Translation evaluation in multilingual settings. Hands-on experience with quality frameworks like MQM, COMET , or designing multidimensional rubrics. Background in Applied Linguistics, Computational Linguistics, or Language Quality Research. Shape the evaluation intelligence layer that underpins a world-class AI ecosystem. If you find this interesting, please apply here or More ❯

s NI & tax deducted at source, unlike umbrella companies and no umbrella admin fees. This role suits a Lead Developer with deep cloud engineering expertise across Python, containerisation and ML platform build-outs, plus strong leadership capability. Key Skills and Experience Banking experience is essential Strong software engineering background with expert Python Hands-on experience with GitLab CI/CD … Extensive Docker containerisation & runtime experience Strong understanding of AWS SageMaker deployments Experience building developer environments for ML/quant/data-intensive workflows Knowledge of monitoring, logging, reporting and test automation Proven team leadership of small development teams Strong understanding of data ingestion, preprocessing and transformation Experience embedding GenAI or agentic frameworks is highly desirable Familiarity with model lifecycle, versioning More ❯

for leadership. Experience and Expertise Required We are looking for hands-on experience in the following core areas: Model Lifecycle Management (MLOps): Proven experience in implementing robust AI/ML pipelines for model training, validation, and deployment (e.g., using MLflow, Vertex AI, or Azure ML). Expertise in managing model evaluation, drift monitoring, and continuous improvement processes. Strong focus on More ❯

+ fully remote contract + initially 6 months + £500 to £525 per day - Inside IR35 Key Skills: + Design of Gen AI Models + RAG + AI/ML Pipelines The Role: + Design, prototype, and deploy Generative AI models (LLMs, Transformers, Diffusion models) for enterprise use cases. + Build and fine-tune LLM-based applications (chatbots, summarization, document … APIs, and data stores using Python, Java, or Node.js backends. + Collaborate with architects to define scalable and secure AI service architectures. Required Experience/Skills: Implementing AI/ML pipelines for model training, validation, and deployment (using tools such as MLflow, Vertex AI, or Azure ML). Manage model evaluation, drift monitoring, and continuous improvement processes. Optimize inference performance More ❯

+ fully remote contract + initially 6 months + £500 to £530 per day - Inside IR35 Key Skills: + Design of Gen AI Models + RAG + AI/ML Pipelines The Role: + Design, prototype, and deploy Generative AI models (LLMs, Transformers, Diffusion models) for enterprise use cases. + Build and fine-tune LLM-based applications (chatbots, summarization, document … APIs, and data stores using Python, Java, or Node.js backends. + Collaborate with architects to define scalable and secure AI service architectures. Required Experience/Skills: Implementing AI/ML pipelines for model training, validation, and deployment (using tools such as MLflow, Vertex AI, or Azure ML). Manage model evaluation, drift monitoring, and continuous improvement processes. Optimize inference performance More ❯

/3 days a week 6 month contract Inside of IR25 £750 - £800 per day My client is seeking a highly skilled software engineer to join its AI/ML team, contributing to the development of cutting-edge applications that accelerate drug discovery and enable personalised therapies. The ideal candidate will have strong Python backend development experience, preferably with FastAPI … DevOps practices, and automated testing. While a background in life sciences is a plus, a passion for improving healthcare through technology is essential. The role involves integrating AI/ML components into scalable web applications, collaborating across technical teams, and continuously improving software quality and performance. Key responsibilities Back end development for a Python web application 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, and monitor key metrics for all tools and services and consistently seek to iterate on and improve them Participate in code reviews, continuously improving personal standards as well as the wider team and More ❯

variants) to real-time performance. MLflow & Databricks Mastery: Lead the optimal integration and use of MLflow for model registry, experiment tracking, and deployment within the Databricks platform. DevOps for ML: Build and automate robust CI/CD pipelines using GIT to ensure stable, reliable, and frequent model releases. Performance Engineering: Profile and optimise large-scale Spark/Python codebases for … embed MLOps standards into the core Data Engineering team. Key Skills: Must Have: MLOps: Proven experience designing and implementing end-to-end MLOps processes in a production environment. Cloud ML Stack: Expert proficiency with Databricks and MLflow . Big Data/Coding: Expert Apache Spark and Python engineering experience on large datasets. Core Engineering: Strong experience with GIT for version More ❯