1 to 25 of 34 Contract Machine Learning Jobs in the South East

areas. Stay up to date with the latest advancements in MLOps, Agentic systems, Azure and Databricks technologies, and proactively identify opportunities to enhance our ML capabilities. About You Degree in computer science, engineering, or proven experience in ML engineering. Proven experience in building and operating machine learning models. … Experience in multiple technologies and frameworks required such as Azure Databricks, Azure ML, MLFlow, GIT, Python and PySpark and microservices. Strong understanding of software development, DevOps, MLOps and Agentic Ops practices and microservices. Excellent communication and collaboration skills. About Us We are a business and technology consultancy ...

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 ...

build predictive models, and partner with cross-functional stakeholders to drive strategic decision-making. You will work with large datasets, apply advanced statistical and machine learning techniques, and help shape data-driven initiatives across the organization. Key Responsibilities Collect, clean, and analyze structured and unstructured datasets from multiple … sources Develop and deploy predictive models and machine learning algorithms Design and conduct experiments (A/B testing, hypothesis testing) to inform product and business decisions Build data pipelines and automate workflows in collaboration with data engineering teams Communicate insights and recommendations clearly to technical and non-technical ...

/ML Data Scientist/ML Engineer - 3-Month Contract Location: London or Edinburgh (Hybrid) Sector: Leading UK Bank Contract: 3-month initial contract (potential extension) Overview A leading UK bank is seeking an experienced AI/ML professional to join their cross-functional delivery team. This role suits someone … with strong hands-on technical expertise and a track record of delivering business-focused AI/ML solutions, including LLM-based applications. You'll work closely with data scientists, software engineers, and ML engineers to design, experiment, validate, and deploy production-grade AI systems for customer-facing applications. Key Responsibilities ...

Mentor and coach junior data scientists and analysts, fostering technical excellence and professional growth. Stay current with emerging technologies, tools, and methodologies in AI, ML, and data science. Required Technical & Professional Qualifications Full AI Project Lifecycle Experience: Proven experience managing the complete AI project lifecycle-from research and prototyping … strong communication and stakeholder management skills. Advanced Analytics Expertise: Proficiency in Python and advanced analytics techniques for structured data, with experience using AI/ML frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face. NLP and Machine Learning : Deep understanding of NLP and ML methods for unstructured data ...

client within the Aviation Sector who are looking for a number of Data Scientists to join their team for an AI/Machine Learning Programme, working on Maintenance, Repair and Overhaul, improving systems and looking at automation. The project is estimated to last over two years, and will … experience with Python/Tensor Flow and Pytorch and have proven experience taking models into production. Required Skills & Experience Proficiency in Python and ML frameworks (TensorFlow, PyTorch). Strong statistical and analytical skills. Experience with a wide range of Data Science techniques (e.g. ML, Optimisation, Simulation, GenAI, etc.). Demonstrated ...

position requires strong technical capability combined with stakeholder engagement and risk awareness. Key Responsibilities Design, build and deploy automation solutions integrating AI and machine learning models into existing systems and workflows. Analyse business processes with stakeholders to identify automation opportunities and define clear requirements. Develop automation scripts … stakeholder engagement and business risk considerations where required. Technical Skills Required Proficiency in programming languages such as Python, Java, C# or R. Experience with machine learning frameworks including TensorFlow, PyTorch or Scikit-learn. Familiarity with cloud platforms such as AWS, Azure or Google Cloud and associated MLOps practices. ...

optimise network control processes. Utilise AWS Bedrock, AWS Quicksuite, and AWS SageMaker, AWS Quicksuite and AWS Connect to build, deploy, and maintain scalable machine learning and automation pipelines. Collaborate with cross-functional teams, including operations, data science, and Product, to define requirements and deliver robust solutions. Monitor, troubleshoot … Quicksuite, and AWS SageMaker. Strong programming skills in Python, Java, or similar languages commonly used for AI and automation. Experience in designing and operationalising machine learning models in a production environment. Excellent problem-solving skills and the ability to work collaboratively in a fast-paced setting. Strong communication ...

large-scale digital product environment. This role focuses on enriching, standardising, and maintaining product attributes within a unified taxonomy to support classification systems, machine learning workflows, and improve catalog quality at scale. Key Responsibilities Analyse large datasets (Excel, Google Sheets, SQL, or scripting) to identify exact and fuzzy … attributes (e.g., brand, category, specifications) following governance guidelines Support cross-taxonomy mapping, vertical expansion, and front-end taxonomy design Collaborate with engineering teams on ML classification, annotation, and model output evaluation Communicate progress clearly and proactively with stakeholders Required: 2+ years’ experience developing taxonomies and/or ontologies for front ...

/ML Technical Lead Location: Worthing (1 day pw onsite required) Daily Rate: £500 - £600 (inside IR35 via umbrella) Contract Length: 3 Months initially Are you ready to lead the way in AI and Machine Learning? Our client is on the lookout for an experienced AI/ML … ensuring governance models and delivery patterns are scalable for future use cases. Key Responsibilities: Develop and implement a practical architecture layer for AI/ML projects, turning visionary concepts into actionable patterns. Define platform setup, governance, and delivery approaches that support the expansion of AI/ML capabilities. Collaborate with ...

solution design, proposal input and client presentations.* Mentor junior data scientists and analysts, contributing to capability development.* Maintain awareness of emerging AI/ML technologies, tools and methodologies.Required Skills and Experience* AI Project Lifecycle: Proven experience delivering full-lifecycle AI projects, from research and prototyping to production deployment. Strong communication … Analytics: Expertise in analytics for structured data, with strong Python skills and experience using frameworks such as TensorFlow, PyTorch, Keras or Hugging Face.* NLP & ML: Deep understanding of NLP and ML techniques for unstructured content, including experience with foundation models and large language models.* AI Solution Development: Experience architecting ...

from concept through to production* Design and deploy end-to-end AI solutions spanning data preparation, modelling, APIs, and production integration* Build and optimise ML and LLM-driven services, including prediction models, personalisation, and retrieval-augmented systems* Collaborate with business stakeholders to frame problems, define success metrics, and deliver measurable … shared tooling, reusable patterns, and engineering standards Required Experience* Strong software engineering background with Python and SQL* Proven experience delivering end-to-end ML or AI solutions into production environments* Hands-on experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn* Experience working with LLMs, including prompt design ...

design, implementation and delivery of Automated Intelligence capabilities. This role requires strong technical expertise, stakeholder management and a deep understanding of automation, AI/ML integration and secure-environment delivery. Key Responsibilities: Design and Development Design, build and deploy automation solutions integrating AI/ML models into existing systems … recommendations for further optimisation. Required Skills and Experience Technical Skills: Strong proficiency in programming languages such as Python, Java, C# or R. Experience with machine learning frameworks and libraries (e.g. TensorFlow, PyTorch, Scikit-learn). Familiarity with cloud platforms (AWS, Azure or Google Cloud) and MLOps practices. Knowledge ...

based systems, artificial intelligence, and machine learning, with considerable in-depth knowledge in implementing solutions using AWS. Deep understanding of AI/ML solutions implementation, with emphasis on LLM applications and retrieval-augmented generation. Practical cloud-native experience, specifically with AWS (compute, storage, networking, IAM, KMS, observability). … also required to lead the team of 4 who can demonstrate a background in the following: Technical leadership and architecture Delivery ownership AI/ML solution stewardship People leadership Stakeholder and product partnership Controls and governance ...

backbone of the company's data platform. You'll be responsible for building and maintaining large-scale, real-time data pipelines that power analytics, machine learning, and operational systems across the business. You'll collaborate with software engineers, data scientists, and analytics teams to ensure the platform delivers … checks. Hands-on experience with big data tools (Airflow, Databricks) and data observability platforms. Collaborative mindset and experience working with cross-functional teams including ML and analytics specialists. Curiosity and enthusiasm for continuous learning - you stay up to date with the latest tools and trends in data engineering ...

design artefacts, including documentation • Knowledge of working with contemporary technologies and concepts e.g. MBE, MBSE, digital twins, simulated environments, AR/VR, AI/ML, IoT, etc. • Demonstrates understanding, knowledge and Knowledge of Systems Engineering with a focus on software-based product development including knowledge of appropriate Systems Engineering ...

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 modelling, and statistical analysis. Proven experience working directly with product analytics platforms like Mixpanel, Amplitude, or similar tools. Experience with data ...

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 ...

MongoDB, Cassandra, or DynamoDB Experience supporting Power BI and Tableau reporting Proficiency in Python, Spark, or similar data engineering tools Understanding of AI and ML trends Strong communication and stakeholder management skills ...

military, or highly regulated secure environments Knowledge of air-gapped or restricted network architectures Exposure to big data platforms, analytics tooling, or AI/ML pipelines Background in site reliability engineering (SRE) or reliability-focused platform design Why This Role? Work on cutting-edge secure military systems High-impact engineering ...

London, UK) Contract Duration : Initial 612 months Rate : Competitive Why this role? Real-World Impact: Build models that directly influence live fleet operations Applied ML Focus: Time-series, geospatial data, optimisation problems Complex Systems: High-volume, real-time operational data Autonomy: End-to-end ownership from modelling to deployment About … improve models in production Participate in technical discussions, code reviews, and agile delivery Required Skills & Experience Essential 36+ years commercial experience in Applied ML or Data Science Strong Python (pandas, numpy, sklearn or similar) Strong SQL Experience building and iterating on predictive models Conditional (must meet at least ...

practical experience delivering system design, application development, testing, and operational stability, particularly in cloud environments. Advanced knowledge of cloud-based systems, artificial intelligence, and machine learning, with considerable in-depth knowledge in implementing solutions using AWS. Practical cloud-native experience, specifically with AWS. Experience with RAG-based semantic ...

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 ...

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 ...

depending on experience. Experience and skills required for the Agentic AI Engineer, Agentic AI Developer, Python Fluency with modern ML toolchains (PyTorch/JAX, RL or behaviour-cloning libraries, agentic frameworks, MCP, distributed training workflows). Experience with AI agent ecosystems using frameworks such as LangChain, AutoGen, CrewAI, and Semantic … robots or simulated characters is a bonus Ability to write clean, efficient, and well-documented code in a collaborative environment. M.S. in Computer Science, Machine Learning, Robotics, or related field (or equivalent practical experience). Role for the Agentic AI Engineer, Agentic AI Developer, Python This ...