1 to 25 of 28 Remote Machine Learning Jobs in Lancashire

less environmental impact. .# Job Description # Key Responsibilities May Include: Collaborate with key stakeholders to identify business challenges, translating ambiguous problems into structured analyses using statistical modelling and machine learning algorithms. Lead the selection, validation, and optimization of models to discover meaningful patterns and insights, ensuring models remain relevant, reliable, and scalable. Drive continuous integration and deployment … of data science solutions, optimizing performance through advanced machine learning techniques, code reviews, and best practices. 'Develop and deliver sophisticated visualizations, dashboards, and reports translate complex data into clear, actionable insights for business stakeholders. Present technical solutions to business stakeholders, using creative methods to explain complex concepts, increase understanding, and encourage solution adoption. Mentor and develop junior data … and experience following CRISP-DM data science lifecycle. Expertise taking projects from ideation or experimental Jupyter notebooks to full production deployment. Strong programming skills in Python, with familiarity in ML libraries/frameworks such as TensorFlow, PyTorch, and Scikit-learn. Experience with MLOps practices including model drift detection, decay, A/B testing, integration testing, differential testing, Python package building More ❯

AI/Machine Learning Engineer (NLP/LLM) - Contract Duration: 6 months Rate: Up to £500 per day IR35: Outside Location: Fully Remote (occasional ad-hoc travel to office) The Role: A leading Regulatory Tech company is seeking a Contract Machine Learning Engineer/Data Scientist to support the development of next-generation AI solutions.This is … tasks, ensuring accuracy, efficiency, and scalability. Experience Requirements: Proven experience in Natural Language Processing (NLP) and Large Language Models (LLMs), including training LLMs from scratch. Strong understanding of deep learning principles and experience working with transformer-based architectures (e.g., GPT, BERT, T5). Solid background in data science and machine learning, including model development, training, evaluation, and More ❯

education, work, and everyday life. They are looking to develop an in-house voice generation and audio delivery system to enhance accessibility and emotional engagement and searching for the ML Engineer to work remotely that's going to make it happen! Senior Machine Learning Engineer - Speech/Voice AI (remote)Contract length: 3-monthIR-35 determination: OutsideLocation: Fully … life. They offer businesses a personal productivity app featuring tools for task breakdown, priority-setting, and structured support to manage anxiety, procrastination, and executive dysfunction. The platform combines tailored learning resources, assistive technology guidance, and mental health content in one accessible space. It serves both students and professionals, helping them build resilience, independence, and sustainable wellbeing through behaviour-change … or audio processing.- Experience fine-tuning or deploying modern TTS models (e.g. VITS, Bark, or FastSpeech2).- Proficiency in PyTorch (or similar) and comfortable optimizing GPU inference.- Experience deploying ML models to production and integrating via APIs.- Familiarity with AWS, GCP, or Azure for scalable deployment. Desirable:- Understanding of speaker cloning or emotional prosody control.- Experience with multilingual TTS or More ❯

an experienced Data Scientist to join their advanced analytics team. This is a fully remote, hands-on role focused on solving complex operational challenges through data-driven insights and machine learning. Youll be working in a fast-paced environment, collaborating with cross-functional teams to develop models, guide technical decisions, and help shape the future of data science within … Scientist, you'll work closely with both technical and non-technical teams to identify business problems and translate them into data science solutions. You'll lead the development of machine learning models - be hands on with Python and its data science ecosystem, ensuring data quality, building analytical pipelines, and visualising insights for stakeholders. 6 months rolling contract Remote … LDN Data Scientist - Python, Pandas, NumPy, Git, and Azure/AWS Partner with cross-functional teams to translate business pain points into scalable data science solutions. Architect and deploy ML models (with a focus on time-series forecasting) to optimise field operations. Own the full analytics lifecyclefrom data wrangling and pipeline design to model deployment and stakeholder storytelling. Mentor junior More ❯

to align to business needs - Leading a team across engineering and integration - Work to ensure the data infrastructure of the business effectively supports analytics, AL, machine learning ML and reporting - Designing of data pipelines, ETL, ELT processes and architecture - Work with internal stakeholders and multiple 3rd parties to seamlessly integrate systems, platforms and applications To be considered suitable More ❯

to align to business needs - Leading a team across engineering and integration - Work to ensure the data infrastructure of the business effectively supports analytics, AL, machine learning ML and reporting - Designing of data pipelines, ETL, ELT processes and architecture - Work with internal stakeholders and multiple 3rd parties to seamlessly integrate systems, platforms and applications To be considered suitable More ❯

the insurance industry, across a range of business functions. Without a solid data foundation, clients struggle to achieve their vision for a data-powered future, including implementing advanced analytics, machine learning, and artificial intelligence. Our team delivers transformational AI and data solutions that benefit our clients, their customers and regulators. A well-designed data solution architecture sits at … store it, how to structure it, how to transform it, and how to consume it for wide variety of data-centric functionality, including data APIs, data monetisation, Gen AI, machine learning, management information and reporting. As a Senior Manager, you will play a critical role in designing, developing, and implementing the end-to-end data journey for our … environment. Contribute to the development of proposals for new business opportunities, showcasing your expertise and understanding of client needs. Stay abreast of industry trends and vendor landscape through continuous learning and adapt to the ever-evolving landscape of data technologies and methodologies, as well as building relationships and solution understanding with leading claims solution vendors. Connect to your skills More ❯

Demonstrable leadership experience, with a track record of developing analysts. Strong academic background in a numerical discipline (eg BSc Mathematics, Computer Science, Data Science). Proficiency in statistical and machine learning techniques (eg logistic regression, clustering, GBMs) and the application of these in a commercial context. Advanced SQL skills with experience with Python and/or R. Solid … Operational Research) Experience with modern data platforms (eg Databricks, Snowflake, MS Fabric). Familiarity with MLOps practices and version control tools (e.g. Git). Experience deploying and maintaining of ML models in production environments. Exposure to A/B testing and campaign optimisation techniques. Knowledge of marketing mix modelling and marketing performance metrics. More ❯

and doing this alongside an experienced team. JOB PURPOSE We are looking for an AI Consultant who not only knows exactly how to create impact with algorithms, big data, machine learning, and generative AI, but can also translate our tech offerings to our current and future clients as well as our wider digital marketing teams internally. As an … parents. Social and Cultural Events, plenty of opportunities to connect with colleagues through organised activities and celebrations. Inspirational Talks, bringing the outside in with regular guest speakers and events. Learning and Development, supporting your growth with continuous opportunities to learn and advance. Buddy Programme: You will be paired with a 'Buddy' to help you through your first weeks' at More ❯

a comprehensive induction into our organisation, which will provide insights into how we operate, and the collaborative environment you'll be part of. This lays the foundation for a learning journey tailored to your goals and preferred style of development. From day one, you'll have access to mentors and subject matter experts to help you settle into the … learn. You'll be supported and encouraged every step of the way, becoming an integral part of our innovative team. We'll provide the space and resources for continuous learning, experimentation, and improvement - with up to 30% of your time dedicated to personal development. From books, online courses, and conferences to real world projects supported by your team, we … ll provide the resources you need to grow. You'll have access to learning and development opportunities tailored to your role, covering a wide range of software disciplines including front end design, site reliability engineering, data engineering, solution architecture, machine learning operations, UX, Agile, cloud engineering, and security. We'll even support formal qualifications with dedicated funding More ❯

with distributed systems and cloud platforms Proficiency in database design (e.g. PostgreSQL) Familiarity with Docker, IaC tools (Terraform), and monitoring stacks Start-up mindset Bonus: Experience with AI/ML deployment, vector databases, or video pipelines. Why Join Work on meaningful AI applications with real-world impact Enjoy flexibility, autonomy, and early equity Collaborate with a world-class, mission-driven More ❯

with distributed systems and cloud platforms Proficiency in database design (e.g. PostgreSQL) Familiarity with Docker, IaC tools (Terraform), and monitoring stacks Start-up mindset Bonus: Experience with AI/ML deployment, vector databases, or video pipelines. Why Join Work on meaningful AI applications with real-world impact Enjoy flexibility, autonomy, and early equity Collaborate with a world-class, mission-driven More ❯

cross-functional technology team. Design, develop, and deliver high-quality, scalable software solutions. Work within an agile team on applications, APIs, and services used globally. Graph databases (GraphDB, Neo4j) ML/AI frameworks (SageMaker, Bedrock) Cloud-based data engineering (AWS) Build and maintain cloud-native data pipelines, ensuring data quality, accuracy, and reliability. 5+ years experience in software or backend More ❯

and upskill internal teams on effective AI adoption and usage. Contribute to the development of scalable prototypes and production-ready solutions. Ideal Candidate Hands-on experience with AI/ML tools (e.g. NLP, predictive modelling, process automation). Familiarity with cloud platforms (AWS, Azure, or GCP). Strong problem-solving and collaboration skills. Ability to communicate technical concepts clearly to More ❯

with distributed systems and cloud platforms Proficiency in database design (e.g. PostgreSQL) Familiarity with Docker, IaC tools (Terraform), and monitoring stacks Start-up mindset Bonus: Experience with AI/ML deployment, vector databases, or video pipelines. Why Join Work on meaningful AI applications with real-world impact Enjoy flexibility, autonomy, and early equity Collaborate with a world-class, mission-driven More ❯

an experienced Data Scientist to join their advanced analytics team. This is a fully remote, hands-on role focused on solving complex operational challenges through data-driven insights and machine learning. Youll be working in a fast-paced environment, collaborating with cross-functional teams to develop models, guide technical decisions, and help shape the future of data science within … Scientist, you'll work closely with both technical and non-technical teams to identify business problems and translate them into data science solutions. You'll lead the development of machine learning models - be hands on with Python and its data science ecosystem, ensuring data quality, building analytical pipelines, and visualising insights for stakeholders. Up to 600/Day … Scientist - Python, Pandas, NumPy, Git, and Azure/AWS Key Responsibilities: Partner with cross-functional teams to translate business pain points into scalable data science solutions. Architect and deploy ML models (with a focus on time-series forecasting) to optimise field operations. Own the full analytics lifecyclefrom data wrangling and pipeline design to model deployment and stakeholder storytelling. Mentor junior More ❯

an experienced Data Scientist to join their advanced analytics team. This is a fully remote, hands-on role focused on solving complex operational challenges through data-driven insights and machine learning. You ll be working in a fast-paced environment, collaborating with cross-functional teams to develop models, guide technical decisions, and help shape the future of data science … Scientist, you'll work closely with both technical and non-technical teams to identify business problems and translate them into data science solutions. You'll lead the development of machine learning models - be hands on with Python and its data science ecosystem, ensuring data quality, building analytical pipelines, and visualising insights for stakeholders. Up to £600/… Scientist - Python, Pandas, NumPy, Git, and Azure/AWS Key Responsibilities: Partner with cross-functional teams to translate business pain points into scalable data science solutions. Architect and deploy ML models (with a focus on time-series forecasting) to optimise field operations. Own the full analytics lifecycle from data wrangling and pipeline design to model deployment and stakeholder storytelling. Mentor More ❯

development. As a member of DataAnnotation s coding team, you ll be part of a growing community of over 100,000 professionals including front-end, back-end, full-stack, machine learning, and other engineers who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge: you ll work closely with More ❯

development. As a member of DataAnnotation s coding team, you ll be part of a growing community of over 100,000 professionals including front-end, back-end, full-stack, machine learning, and other engineers who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge: you ll work closely with More ❯

Knowledge of gaming integrations, payments, and provider APIs Experience with fraud prevention, security controls, or compliance frameworks Familiarity with platform personalisation, data pipelines, or event-driven systems Exposure to machine learning, AI, or player analytics Ready to lead a high-performing engineering function and build modern gaming technology at scale? Please apply and Emma will be in touch More ❯

with Strong React/Next.js, experience with Tailwind and UI best practices would be highly beneficial Experience with cloud infrastructure (AWS/Azure/GCP), DevOps and data/ML workflows JavaScript Full-Stack Engineer - Climate-Tech Start-Up - Fully Remote More ❯

with Strong React/Next.js, experience with Tailwind and UI best practices would be highly beneficial Experience with cloud infrastructure (AWS/Azure/GCP), DevOps and data/ML workflows Happy to liaise with clients If you can see yourself in a mission-led, impact-focused team, apply now! JavaScript Full-Stack Engineer - Climate-Tech Start-Up - Fully Remote More ❯

property law, helping thousands of people to buy, sell and remortgage their home. They provide our clients with a stress-free online experience, underpinned by our process automation and machine learning platform, and delivered through our wholly owned English law firm. Their revenue has tripled year-on-year, and they’ve carved out a reputation as client-focused More ❯

with stakeholders to understand business challenges and translate them into actionable AI strategies. Key responsibilities: Collaborating with clients to identify opportunities for AI implementation Designing and developing AI models (ML, NLP, Computer Vision) Conducting data analysis and preprocessing Deploying models into production environments Providing training and support on AI tools and best practices Staying up to date with the latest … AI advancements Requirements: Proven experience in AI/ML projects Proficiency in Python, R, or Java Familiarity with AI frameworks and cloud platforms (Azure, AWS, GCP) Strong problem-solving and communication skills A degree in Data Science, Computer Science, or a related field (preferred) Benefits: Flexible remote working Competitive salary 25 days holiday + home working allowance Private health insurance More ❯

SQL and SAS skills (or equivalent), with advanced Excel and solid PowerPoint/Office capability. Experience in customer segmentation, test and control methodologies, and ideally exposure to AI/machine learning. A sharp analytical mind with the ability to turn complex data into clear, actionable insights. Confidence in presenting to senior stakeholders and influencing decisions. A solid understanding of … Flexible, hybrid working model Inclusive culture and environment, check out our Glassdoor reviews £1,000 flexible benefits allowance to suit your needs 30 days holiday + bank holidays Udemy learning access Bonus potential (performance and business related) Up to 25% discount on Very.co.uk Matched pension up to 6% More benefits can be found on our career site How to More ❯