1 to 25 of 140 Remote Machine Learning Jobs in the South East

Machine Learning Engineer £700-750/day overall assignment rate to umbrella Fully remote 6 month initial … A FTSE 100 retail client are on the look for a Data Scientist/Machine Learning Engineer to join their data science function to drive cutting-edge ML technology across the business. Machine Learning Engineer, key skills: Significant experience working as a Data Scientist/Machine Learning Engineer Solid knowledge of SQLandPython's ecosystem … for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib). GCP, VertexAI experience is desirable (developing GCP machine learning services) Timeseries forecasting Solid understanding of computer science fundamentals, including data structures, algorithms, data modelling and software architecture Strong knowledge of Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc.) as well as state-of-the-art More ❯

software, infrastructure, and MLOps systems that leverage machine learning. Working in cross-functional teams with engineers, data scientists, product managers, and designers. Developing scalable, reusable tools that accelerate ML delivery. Providing technical expertise to customers and mentoring junior engineers. Contributing to the scope, design, and technical delivery of complex projects. Embedding best practices for AI systems in production, balancing … and operational requirements. What we're looking for Active SC clearance(minimum 5 years UK residency required). Strong software engineering skills, with proficiency in Python. Experience across the ML lifecycle, including deploying models built in PyTorch, TensorFlow, or Scikit-learn. Hands-on cloud experience with AWS, Azure, or GCP. Knowledge of Docker and Kubernetes, with practical containerisation experience. Understanding … of probability, statistics, and ML techniques. Strong communication skills, able to engage with technical and non-technical stakeholders. Experience mentoring or leading junior engineers is an advantage. Travel & Location Open to applicants from anywhere in the UK. Travel to Poole or Hereford up to 2/3 days per week Majority of work can be done remotely. Why join Salary More ❯

Machine Learnig Engineer Hybrid Working - UK Wide - 1 day a quarter on site. Financial Services Lorien's leading banking client is looking for a Machine Learning Engineer to join the growing data science and AI team. You'll play a key role in designing, developing, and deploying scalable machine learning solutions using Python and Amazon … of 1 day a week on site. Key Responsibilities Design and implement machine learning models for classification, regression, and forecasting tasks. Build and manage end-to-end ML pipelines using Amazon SageMaker . Collaborate with data scientists, engineers, and product teams to integrate ML solutions into production systems. Optimise model performance and scalability. Monitor and maintain deployed models … ensuring reliability and accuracy. Stay up-to-date with the latest ML research and tools. Required Skills & Experience Strong proficiency in Python and its ML/data libraries (e.g., NumPy, pandas, scikit-learn, TensorFlow or PyTorch). Hands-on experience with Amazon SageMaker , including training, tuning, and deploying models. Solid understanding of machine learning algorithms and statistical methods. More ❯

Learning Engineer to join their London Government team on a 6-month fixed-term contract . This role offers the opportunity to design, build, and deploy production-grade ML systems that have a direct impact on government services and policy delivery. What you'll be doing Designing and delivering software, infrastructure, and MLOps systems that bring ML models into … real-world use. Collaborating in cross-functional teams with engineers, data scientists, product managers, and designers. Creating scalable, reusable tools that improve ML deployment and operationalisation. Leading on technical design and delivery of government-focused projects. Providing technical expertise to stakeholders and mentoring less experienced engineers. Developing and embedding best practices for managing ML in production. What we're looking … for Active SC Clearance Strong software engineering background with proficiency in Python. Experience deploying ML models built with frameworks such as PyTorch, TensorFlow, or Scikit-learn. Knowledge of probability, statistics, and common ML techniques. Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP). Proficiency with containers, Docker, and Kubernetes. Strong communication skills with the More ❯

to influence not just their engineering roadmap, but how they fundamentally approach solving complex, real-world security challenges with data. You'll work at the intersection of data science, ML infrastructure, and product innovation, leading efforts to build and evolve ML-driven capabilities, while also ensuring the reliability and scalability of their models in production environments. What You'll Do … learning models focused on understanding behaviour patterns and identifying cybersecurity anomalies. Partner with product, engineering, and domain experts to translate strategic goals and customer needs into practical, scalable ML solutions. Drive model development end-to-end, from exploratory analysis, feature design, and prototyping to validation and deployment. Collaborate with platform and infra teams to operationalize models and ship ML … powered features into production. Continuously assess and iterate on production models, balancing long-term ML strategy with tactical improvements. Champion code quality, observability, and resilience within their ML systems through reviews and hands-on contributions. Help shape their internal ML standards and practices, ensuring they stay ahead of industry advancements. Offer technical mentorship and be a thought partner to colleagues More ❯

About the Opportunity: We are seeking an ambitious and intellectually curious Junior Data Scientist to join a fast-growing, forward-thinking team working at the forefront of data science, machine learning, and applied AI. This is an excellent opportunity for a recent Master’s graduate eager to apply their academic expertise to solving real-world challenges—whether it … s predicting customer behaviour, optimising operations, or identifying patterns in complex datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and subject-matter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries. What You’ll Be Doing: Designing and building machine learning models to solve real-world … B testing Presenting findings clearly to both technical and non-technical stakeholders Collaborating across data science, engineering, and product teams to build scalable solutions Staying current with advancements in machine learning and AI, and contributing new ideas to internal R&D discussions What We’re Looking For: A recently completed Master’s degree from a Russell Group university More ❯

About the Opportunity: We are seeking an ambitious and intellectually curious Junior Data Scientist to join a fast-growing, forward-thinking team working at the forefront of data science, machine learning, and applied AI. This is an excellent opportunity for a recent Master’s graduate eager to apply their academic expertise to solving real-world challenges—whether it … s predicting customer behaviour, optimising operations, or identifying patterns in complex datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and subject-matter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries. What You’ll Be Doing: Designing and building machine learning models to solve real-world … B testing Presenting findings clearly to both technical and non-technical stakeholders Collaborating across data science, engineering, and product teams to build scalable solutions Staying current with advancements in machine learning and AI, and contributing new ideas to internal R&D discussions What We’re Looking For: A recently completed Master’s degree from a Russell Group university More ❯

About the Opportunity: We are seeking an ambitious and intellectually curious Junior Data Scientist to join a fast-growing, forward-thinking team working at the forefront of data science, machine learning, and applied AI. This is an excellent opportunity for a recent Master’s graduate eager to apply their academic expertise to solving real-world challenges—whether it … s predicting customer behaviour, optimising operations, or identifying patterns in complex datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and subject-matter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries. What You’ll Be Doing: Designing and building machine learning models to solve real-world … B testing Presenting findings clearly to both technical and non-technical stakeholders Collaborating across data science, engineering, and product teams to build scalable solutions Staying current with advancements in machine learning and AI, and contributing new ideas to internal R&D discussions What We’re Looking For: A recently completed Master’s degree from a Russell Group university More ❯

through building and deploying models, to measuring impact using A/B testing. You will gain hands-on experience with leading technology, modern architecture, and the latest applications of machine learning and generative AI in production. What you’ll do: Work closely with stakeholders across the business to understand and propose improvements to existing process using new data … functional business. PhD or MSc or equivalent experience in a numerate subject: Machine Learning, Computer Science, Statistics. Proven experience of applying, researching, and developing advanced statistical/ML methods to drive value in a commercial setting, Able to work independently and efficiently to deliver projects on time, taking project briefs and refining them to strong results. Experienced in … engaging with non-technical partners to scope, design and build an appropriate ML solution. Proficient with Python data science stack, e.g., pandas, scikit-learn, Jupyter etc., and version control, e.g., Git. Knowledge of OO programming, software design, i.e., SOLID principles, and testing practices. Knowledge and working experience of AGILE methodologies. Proficient with SQL. Familiarity with Databricks, Spark, geospatial data/ More ❯

Our client, leading UK retailer, are currently looking to hire a Machine Learning Engineer (Data/ML) based from their offices in London. Job Title: Machine Learning Engineer (Data/ML) Location: London/Hybrid - Once a week (Thursday) in London Duration: 6 Months Day Rate: £425-475 per day (Inside IR35 - Umbrella) This is a … 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 Jupiter 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, Jupiter . 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 ❯

will focus on an Insight Generation Project within one of the functions, leveraging cutting-edge technologies to deliver meaningful insights supporting Artificial Intelligence (AI) and Machine Learning (ML) driven solutions. Responsibilities Design, build, and optimize data pipelines using Apache Spark and Snowflake Collaborate with data scientists and analysts to support AI/ML model development and deployment Work … for failures, enhancing database performance Requirements Minimum of 5 years’ experience as a Data Engineer with Apache Spark and Snowflake in a production environment Strong understanding of AI/ML concepts, with demonstrable experience in supporting or implementing ML models Proficiency in Python or Scala for data engineering tasks Experienced working in cloud environments such as AWS, Azure and GCP … Familiarity with CI/CD pipelines and version control such as Git Excellent problem-solving and communication skills Desirable Extensive experience in Machine Learning Exposure to ML Operations practices and tools Experience within financial services or regulated industries Why join us Career coaching, mentoring and access to upskilling throughout your entire FDM career Assignments with global companies and More ❯

You'll Be Delivering Collaborate with clients to identify business challenges and AI opportunities. Design and develop AI models and algorithms to meet client needs. Provide technical expertise in machine learning, NLP, and computer vision. Conduct data analysis and preprocessing for model training. Deploy AI models into production environments and monitor performance. Offer training and support on AI … tools and best practices. Stay current with the latest AI and machine learning advancements. What You'll Bring Proven experience in AI and machine learning with a strong project portfolio. Proficiency in Python, R, or Java. Familiarity with AI frameworks and libraries. Strong analytical and problem-solving skills. Excellent communication and interpersonal abilities. Experience with cloud More ❯

marketing applications Analyse large multi-modal datasets to extract insights and features that can be used by downstream AI models. Develop integrated AI solutions by combining fine-tuned LLMs, machine learning models, and custom algorithms to address complex marketing challenges. Stay abreast of the latest trends in AI research and integrate them into our products and services Communicate … technical challenges and solutions to non-technical stakeholders and team members. What we want from you: Experience in machine learning, with a strong knowledge of algorithms and principles. Proven track record of building and deploying machine learning models into production. Hands-on experience with both structured and unstructured data. Experience with deep learning models for More ❯

AI Research Engineer (LLM Python) London/WFH to £95k Do you have experience with Machine Learning, AI research and Python engineering? You could be progressing your career at a "Tech for Good" start-up that is using AI models to help people focus on healthy living to extend their life, making personalised health risk assessments and connecting … most of the time, meeting up with colleagues in the London office once a week. About you: You have achieved a BSc or Masters degree in Computer Science, AI, Machine Learning or closely related discipline You have experience in Machine Learning, AI research or engineering roles You have strong Python programming skills You're comfortable running More ❯

a skilled Data Analyst. This role will support an Insight Generation Project within the Data & Analytics function, focusing on advanced analytics and Artificial Intelligence (AI) Machine Learning (ML) driven insights using tools like Tableau and Snowflake. Responsibilities Develop and maintain interactive dashboards and reports using Tableau ensuring insights are communicated effectively Extract, transform, and analyse data from Snowflake … to support business insights Collaborate with data engineers and data scientists to support AI/ML initiatives Translate complex data into actionable insights for stakeholders Ensure data accuracy, consistency, and integrity across reporting outputs Contribute to the development of scalable analytics frameworks and best practices Regularly communicate and engage with stakeholders to define project goals while providing data driven solutions … years’ experience as a Data Analyst Strong experience with Tableau for data visualization and reporting Proficiency in querying and analysing data within Snowflake Demonstrable understanding of AI/ML concepts, with hands-on experience preferred Solid SQL skills and familiarity with Python or R for analytical tasks Ability to communicate insights clearly to technical and non-technical audiences Experience working More ❯

critical public sector and defence organisations. As part of our team, you'll leverage technologies like Palantir, Tableau, and cloud platforms (AWS, Azure) to build scalable data infrastructure, develop machine learning models, and create robust solutions that enhance public service delivery. Working in classified environments, you'll tackle complex challenges using tools like Hadoop, Spark, and modern visualisation … Implement data security and governance frameworks Build and maintain data APIs and services Analytics and Data Science Focus: Translate business problems into data queries and solutions Develop and deploy machine learning models Create advanced analytics solutions Provide insights through data visualization and reporting Design and implement A/B tests and experiments Collaborate with stakeholders to understand data … business transformation programmes Designing and implementing data lakes and warehouses using cloud technologies Creating automated data pipelines for continuous data integration Implementing data governance and security frameworks Building scalable machine learning infrastructure Collaborating with multiple departments, stakeholders, and external vendors Skills, Knowledge and Expertise We work predominantly within the UK Defence and Public Sectors so experience within those More ❯

based platform. As Head of Data & Analytics, you'll shape and execute the enterprise data strategy, from building scalable pipelines and data lakes, to unlocking predictive analytics, AI, and machine learning for commercial advantage. You'll lead a talented team and ensure data becomes a true driver of growth, efficiency, and customer experience across the group. Benefits You … and optimisation of Azure Synapse, Databricks, and Power BI.· Drive integration of ERP, CRM, IoT, and external datasets into a single source of truth.· Deliver predictive modelling, AI, and machine learning to create measurable business value.· Champion intuitive self-service analytics for business users.· Implement best practice governance, ensuring compliance with GDPR, ISO 27001, and NIS2.· Keep ahead … BI, with strong SQL, Python, Spark, and data modelling skills.· Deep knowledge of cloud-native data architecture, data lakes, and streaming pipelines.· Strong grasp of predictive analytics, AI, and machine learning applications.· Excellent stakeholder management and ability to align data initiatives with business growth.· Inspirational leader who can champion a data-driven culture across a complex organisation. Apply More ❯

own capabilities, contribute to a robust change execution structure, and put ideas into action. Responsibilities Influence and coordinate cross-functional teams to deliver AI/Machine Learning (ML) TM solutions aligning with business needs and regulatory requirements Define and manage overall delivery roadmap, budgets, timelines, dependencies, milestones, and deliverables Oversee end-to-end testing, validation, performance monitoring, and … Drive process improvements and change management, embedding continuous feedback loops from analysis and investigators to refine detection scenarios as well as downstream investigation workflows Manage implementation of AI/ML enhancement into new products or regions, ensuring compliance, consistency and scalability Maintain strong customer and business focus, ensuring all change initiatives deliver value to the organisation, reduce investigator burden and … as Project Leader across complex, multi-stream initiatives (using Agile and/or hybrid methods) in Anti–Money Laundering (AML) and financial crime prevention Comfortable translating complex AI/ML concepts into business language, navigating competing priorities, and maintaining high standards of delivery, transparency, and control Excellent business orientation and understanding of the financial industry, preferably with deep experience in More ❯

decisions and solution governance. Write clean, efficient, and scalable code that adheres to software engineering principles, MLOps practices, and cloud-native development. AI Solution Delivery: Own the implementation of ML pipelines, APIs, and data integration workflows. Operational Excellence: Contribute to defining reusable development patterns, enforcing coding standards, and implementing MLOps best practices that support version control, performance optimisation, and maintainability. … of RESTful API design, authentication/authorization standards, and API lifecycle best practices; familiarity with Microsoft Graph API is a plus. Experience & Knowledge Requirements Good knowledge of generative AI, machine learning … deep learning, natural language processing or other relevant AI fields. Proven track record of designing, developing, and deploying AI systems in production environments. Proficient in Python and key ML libraries (e.g. PyTorch, PySpark, scikit-learn, Hugging Face Transformers). Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks, MLflow, LangChain, LangGraph. Proven experience More ❯

decisions and solution governance. Write clean, efficient, and scalable code that adheres to software engineering principles, MLOps practices, and cloud-native development. AI Solution Delivery: Own the implementation of ML pipelines, APIs, and data integration workflows. Operational Excellence: Contribute to defining reusable development patterns, enforcing coding standards, and implementing MLOps best practices that support version control, performance optimisation, and maintainability. … of RESTful API design, authentication/authorization standards, and API lifecycle best practices; familiarity with Microsoft Graph API is a plus. Experience & Knowledge Requirements Good knowledge of generative AI, machine learning … deep learning, natural language processing or other relevant AI fields. Proven track record of designing, developing, and deploying AI systems in production environments. Proficient in Python and key ML libraries (e.g. PyTorch, PySpark, scikit-learn, Hugging Face Transformers). Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks, MLflow, LangChain, LangGraph. Proven experience More ❯

decisions and solution governance. Write clean, efficient, and scalable code that adheres to software engineering principles, MLOps practices, and cloud-native development. AI Solution Delivery: Own the implementation of ML pipelines, APIs, and data integration workflows. Operational Excellence: Contribute to defining reusable development patterns, enforcing coding standards, and implementing MLOps best practices that support version control, performance optimisation, and maintainability. … of RESTful API design, authentication/authorization standards, and API lifecycle best practices; familiarity with Microsoft Graph API is a plus. Experience & Knowledge Requirements Good knowledge of generative AI, machine learning … deep learning, natural language processing or other relevant AI fields. Proven track record of designing, developing, and deploying AI systems in production environments. Proficient in Python and key ML libraries (e.g. PyTorch, PySpark, scikit-learn, Hugging Face Transformers). Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks, MLflow, LangChain, LangGraph. Proven experience More ❯

Job Title: ML Ops/LLM Ops Engineer Location: Hybrid (potentially 1 day per week in east London) Contract: 6 month Contract Day Rate: £400 per day (Outside IR35) About the Role We are seeking an experienced ML Ops/LLM Ops Engineer to join a high-profile digital transformation initiative. This role focuses on operationalising advanced Machine Learning … Speech Recognition (ASR), and Text-to-Speech (TTS) solutions. You will work closely with developers, technical leads, product owners, and QA teams to design, deploy, and support production-grade ML services. This is a fast-moving environment where cutting-edge Generative AI technologies are constantly evolving, so adaptability and technical excellence are essential. Key Responsibilities Design and implement tooling and … technologies to support ML models and LLMs in production. Deploy, maintain, and optimise machine learning services within a cloud environment (AWS). Recommend and implement prompt management tools and provide expertise in prompt engineering. Introduce and manage observability, monitoring, and evaluation frameworks for ML and AI services. Enable auto-evaluation of prompts and models against domain-specific requirements. More ❯

Data Scientist, you will be expected to: Build Agentic AI and GenAI solutions, from PoC to production, using agile methodologies and best practices. Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across … adherence to data privacy regulations. Connect to your skills and professional experience A bachelor's degree (or equivalent) or higher in AI or equivalent. Proven experience in data science, machine learning, and AI, with a proven track record of delivering AI-driven solutions in a professional setting, using a variety of tools and techniques. Proficient in programming languages More ❯

Data Scientist, you will be expected to: Build Agentic AI and GenAI solutions, from PoC to production, using agile methodologies and best practices. Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across … adherence to data privacy regulations. Connect to your skills and professional experience A bachelor's degree (or equivalent) or higher in AI or equivalent. Proven experience in data science, machine learning, and AI, with a proven track record of delivering AI-driven solutions in a professional setting, using a variety of tools and techniques. Proficient in programming languages More ❯

Data Scientist, you will be expected to: Build Agentic AI and GenAI solutions, from PoC to production, using agile methodologies and best practices. Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across … adherence to data privacy regulations. Connect to your skills and professional experience A bachelor's degree (or equivalent) or higher in AI or equivalent. Proven experience in data science, machine learning, and AI, with a proven track record of delivering AI-driven solutions in a professional setting, using a variety of tools and techniques. Proficient in programming languages More ❯