1 to 25 of 134 Machine Learning Jobs in the North West

take, guiding us to deliver impact how and where it matters most. Connect to your opportunity We are seeking committed new talent to join our multidisciplinary Data Science and Machine Learning team, with a focus on our clients in the Defence and Security sector. Our goal is to work together with our clients to drive innovation and insight … from their data, using cutting edge Data Science, Machine Learning and AI techniques. As a practitioner in our team, you will: Apply data science, machine learning and AI techniques creatively to solve complex problems. Research and develop innovative solutions that deliver real world impact. Pioneer implementation of new techniques and technologies. Participate in all phases of … needs and developing prototypes to scaling and managing live services. Be responsible for the high quality delivery of projects. Shape new propositions and support winning new projects. Support continual learning and development in the team. Develop deep understanding of the Defence and Security sector and the context for AI solutions and services to be successful. Connect to your skills More ❯

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 ❯

through our Hybrid Work Model. 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 ❯

the best outcomes for our colleagues, customers and businesses. We're growing with purpose. Join us on our journey and you will too!As a Machine Learning (ML) Engineer, you'll play a meaningful role in developing, operating and maintaining ML solutions across Consumer Lending. You'll work on different projects with a wide variety of colleagues to … understand how we can apply the latest ML thinking to deliver value. Working in our growing team enables you to get close to and understand how the business operates, how we serve our customers and the role that Data Science and ML can play in making things better for LBG and its customers - and it's this proximity to the … re also looking for applicants with a proven background in working with large-scale applications and data platforms. Key activities in the role: Develop and maintain end-to-end ML systems in Python alongside our data scientists, including engineering new features, specifically providing expert ML input. Maintain and refine high quality, reusable data and ML pipelines at scale. Play a More ❯

expertise and are posed with all potential and skills necessary to help us meet future business challenges. Position not right for you? Share it with someone you know. Applied Machine Learning Engineer Reference: NOV Expiry date: 2025-11-:59:00.000 Location: Liverpool Location: Liverpool, hybrid (minimum 3 days on site per week) Are you ready to push the … boundaries of AI-driven sensing and digital diagnostics, contribute to technological innovation, and develop transformative tools for global health applications? We're looking for an Applied Machine Learning Engineer to join our multidisciplinary research and development team and play a key role in advancing intelligent healthcare sensor technologies within the Infection Innovation Technology Laboratory (iiTECH). You'll … data-driven modelling Proven expertise in developing, training, and validating machine learning and statistical models for predictive analytics and real-time data interpretation Demonstrated ability to integrate ML algorithms with sensor systems, or embedded hardware Proficiency in Python, MATLAB, or equivalent programming environments Experience in data curation, feature engineering, and pre-processing for multimodal healthcare or sensor datasets More ❯

Overview The Senior Data Scientist is responsible for developing and implementing advanced data science models, machine learning algorithms, and predictive analytics solutions to drive business insights, product innovation, and operational efficiencies at IMS. This role plays a critical part in enhancing telematics, mobility, and insurance technology solutions through data-driven decision-making, statistical analysis, and AI-driven automation. … insights to Executive Leadership, helping shape strategic decisions. Engage with customers and partners, translating data science capabilities into real-world applications. Research and Innovation Stay ahead of emerging AI, ML, and data science trends, integrating innovative techniques into IMS solutions. Contribute to research papers, patents, and industry collaborations, positioning IMS as a thought leader in data science. Requirements 5+ years … statistical modelling, probability theory, and mathematical optimization. Experience deploying machine learning models to production (MLOps, Docker, Kubernetes, etc.). Familiarity with AWS/GCP/Azure cloud ML platforms for scalable model training and inference. Strong problem-solving, communication, and business acumen skills. Experience in telematics, mobility, insurance, or IoT industries. Knowledge of deep learning applications. Why 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) 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 an … 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 ❯

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 ❯

team of 6+ scientists embedded across product and functional teams, while also setting the technical direction and ensuring alignment with company-wide OKRs. You'll drive the transition towards machine learning engineering, championing end-to-end model ownership from research through to deployment in production. This is a fantastic opportunity to shape the data science strategy, support the … finance. Skills and Experience Proven leadership experience in data science or machine learning, ideally within product-led or consumer-facing organisations Strong background in building and deploying ML models at scale in production environments Ability to structure and lead embedded data science teams, partnering effectively with senior stakeholders across multiple domains Hands-on technical expertise with tools such … as Databricks, Python, Spark, and GCP/BigQuery Engineering mindset, with experience moving teams toward machine learning engineering best practice Credibility to lead long-tenured individual contributors while providing direction, mentorship and career development If you are looking for a new challenge, then please submit your CV for initial screening and more details. Head of Data Science More ❯

team of 6+ scientists embedded across product and functional teams, while also setting the technical direction and ensuring alignment with company-wide OKRs. You'll drive the transition towards machine learning engineering, championing end-to-end model ownership from research through to deployment in production. This is a fantastic opportunity to shape the data science strategy, support the … finance. Skills and Experience Proven leadership experience in data science or machine learning, ideally within product-led or consumer-facing organisations Strong background in building and deploying ML models at scale in production environments Ability to structure and lead embedded data science teams, partnering effectively with senior stakeholders across multiple domains Hands-on technical expertise with tools such … as Databricks, Python, Spark, and GCP/BigQuery Engineering mindset, with experience moving teams toward machine learning engineering best practice Credibility to lead long-tenured individual contributors while providing direction, mentorship and career development If you are looking for a new challenge, then please submit your CV for initial screening and more details. Head of Data Science More ❯

Scientist to join our talented team at our global head office in Oldham, Greater Manchester. The Graduate Data Scientist role overview: This role is to maintain and proactively develop Machine Learning algorithms for current and future products, with a core focus on biometric technologies. Your Responsibilities as a Graduate Data Scientist: Contribute directly to the development, implementation, and … validation of Machine Learning algorithms for our industry-leading biometric and face analysis technologies. Optimize and fine-tune existing models, including tuning and retraining existing Convolutional Neural Networks (CNNs). Investigate and resolve underlying system and algorithm issues identified through testing and customer feedback. Drive continuous improvement through research and development of novel techniques in the field. Ensure … processes for quality development (e.g., standard reporting, source control, integration). Your Skills & Experience: A degree in Mathematics, Computer Science or Computational Science Basic knowledge of Data Science/Machine Learning algorithms and full data processing pipelines. Proficiency in a Data Science prototyping language such as Python or MATLAB. Understanding of Convolutional Neural Networks (CNNs) and Feature Extraction More ❯

Scientist to join our talented team at our global head office in Oldham, Greater Manchester. The Graduate Data Scientist role overview: This role is to maintain and proactively develop Machine Learning algorithms for current and future products, with a core focus on biometric technologies. Your Responsibilities as a Graduate Data Scientist: Contribute directly to the development, implementation, and … validation of Machine Learning algorithms for our industry-leading biometric and face analysis technologies. Optimize and fine-tune existing models, including tuning and retraining existing Convolutional Neural Networks (CNNs). Investigate and resolve underlying system and algorithm issues identified through testing and customer feedback. Drive continuous improvement through research and development of novel techniques in the field. Ensure … processes for quality development (e.g., standard reporting, source control, integration). Your Skills & Experience: A degree in Mathematics, Computer Science or Computational Science Basic knowledge of Data Science/Machine Learning algorithms and full data processing pipelines. Proficiency in a Data Science prototyping language such as Python or MATLAB. Understanding of Convolutional Neural Networks (CNNs) and Feature Extraction More ❯

architectural design and construction. This role will report to a Research Manager in the AI Lab. Location : UK/EMEA, US or Canada Remote or Hybrid Responsibilities · Develop new ML models and AI techniques · Lead on research projects within a global team · Review relevant AI/ML literature to identify emerging methods, technologies, and best practices. · Explore new data sources … and discover techniques for best leveraging data Minimum Qualifications · A Master's or PhD in a field related to AI/ML, such as: Computer Science, Mathematics, Statistics, Physics, Linguistics, Mechanical Engineering, or related disciplines · Strong background applying Deep Learning techniques (including implementing custom architectures, optimizing model performance, developing novel loss functions, metrics, and benchmarks, and deploying production-ready … techniques, etc.) · Familiarity with PyTorch, PyTorch Lightning, or similar frameworks · Strong coding abilities in Python · Strong Software development skills and familiarity with GPUs, MLOps, Git, High-performance large-scale ML systems and platforms. · Experience with Transformers, LLMs, NLP, Multi-modal Deep Learning, and VLMs/MLLMs · Publication track record in machine learning conferences and/or journals More ❯

Head of AI- (Associate Director) and take the helm of their artificial intelligence transformation. This is dynamic and progressive role where you will define the organisations generative AI and machine learning strategy, with hands-on technical leadership to build production-grade AI capabilities that deliver cutting edge client solutions and optimise business performance The Role Own the company … LLMs, NLP, and RAG systems Strong knowledge of Knowledge Graphs and semantic technologies Proficient in Python, SQL, PyTorch/TensorFlow Experience with DevOps, CI/CD, DevSecOps and secure ML pipelines. Proven experience in AI/ML/Data science leadership with measurable business impact. Degree in Computer Science, Machine Learning, Data Science or related STEM field Imagine More ❯

Head of AI- (Associate Director) and take the helm of their artificial intelligence transformation. This is dynamic and progressive role where you will define the organisations generative AI and machine learning strategy, with hands-on technical leadership to build production-grade AI capabilities that deliver cutting edge client solutions and optimise business performance The Role Own the company … LLMs, NLP, and RAG systems Strong knowledge of Knowledge Graphs and semantic technologies Proficient in Python, SQL, PyTorch/TensorFlow Experience with DevOps, CI/CD, DevSecOps and secure ML pipelines. Proven experience in AI/ML/Data science leadership with measurable business impact. Degree in Computer Science, Machine Learning, Data Science or related STEM field Imagine More ❯

in the UK however we have a startup-like culture nurtured by sports and social clubs, being a safe place to fail, meaning and self-fulfilment over business, and learning from our partners, suppliers, and peers. We fully embrace DevOps ways of working in our teams, and build a very broad range of capabilities for our customers. We therefore … creativity to solve our client's challenges It would be great if you also had experience in some of these, but if not we'll help you with them Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing in Cloud Computing such as AWS, MS Azure Containerisation e.g. Docker More ❯

your future career. You will design and build software solutions that harness the power of AI tools and modern development practices. Role You’ll receive a blend of structured learning, hands-on experience, and tailored apprenticeship training to help you grow into a confident tech professional. From day one, you’ll be supported by mentors, coaches, and a dedicated … week training programme designed to give you a strong foundation in both technical and professional skills. You’ll explore the fundamentals of AI, and data handling while also learning how modern engineering teams operate—using agile methods, collaboration tools, and real-world problem solving. Project-based learning: You’ll work on real challenges for real clients. With support … a wide range of technologies and systems, along with training to help you understand and implement them effectively. Professional Development: We invest in your continuous growth through our extensive learning portal, offering curated pathways, classroom-based and self-paced courses, and on-demand resources to keep your skills sharp throughout your apprenticeship. Apprenticeship Training: You’ll study towards the More ❯

to AXA Retail's new Pricing and Analytics strategy. We're investing a lot in growing our department in size and capability across our IT systems, analytical toolset and learning and development. We'd love to hear from … motivated people who can help us deliver our commitments to our business, our customers, and our people. Within AXA Retail we're looking for a Machine Learning (ML) Operations Engineer or Senior ML Operations Engineer to facilitate high frequency, high quality and high accuracy rating changes to Python deployments for our business. The role will involve building frameworks … re also happy to consider flexible working arrangements, which you can discuss with Talent Acquisition. What you'll be doing: Develop and operationalise Python rating engines as part of ML Operations team. Enable P&A department to deliver value in a way that is seamless, efficient and controlled, through harmonious and simple routes for rating changes. Develop tools for the More ❯

on what data they need and how best to use it. Balance short-term business demands with long-term analytical strategy and sustainability. Apply and explore Data Science and Machine Learning techniques, including segmentation, to enhance insight and discovery. What We're Looking For Strong experience in data visualisation (Power BI ideal). Solid SQL skills and comfort … ability. Ability to collaborate with stakeholders and translate requirements into analytical solutions. Curiosity, proactivity, and the ability to guide others toward the right insight. Exposure to Data Science/Machine Learning techniques is a plus. What's On Offer Salary up to £65,000 , depending on experience Hybrid working - 2/3 days in the Heald Green office 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 ❯

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 ❯

engineers in the field. Our platform allows our energy specialists to be the most productive in the industry, with our suite of AI tools making us pioneers in using ML and AI to make agents' lives easier and customers happier. We do it by hiring clever, curious, and self-driven people, enabling them with modern tools and infrastructure and giving … them lots of autonomy. Our ML team consists of ML, front-end and back-end engineers, so that we can rapidly prototype and get innovative tools in use at breakneck speed. We've had great success in using AI to bring better service to customers, and we want to bring that success to the whole business. You'll be part … the millions of lines of code that run Kraken, leveraging techniques at the cutting-edge of the technology like GraphRAG, agentic workflows, finetuning, and reinforcement learning Use classic ML and NLP techniques to complement and improve LLM systems Act as a center of excellence for the whole business in AI, as a floating resource that consults other teams use More ❯

life and influence how data & AI transforms industries - we'd love to hear from you. Requirements GlobalLogic is seeking a Go-to-Market (GTM) Solutions Architect for AI/ML solutions to drive the growth of our pipeline in our Intelligent Enterprise practice in the UK & Ireland. This is a high-impact role at the intersection of technology, consulting, and … innovation - shaping and scaling our Data & AI offerings across four transformative domains: Data Platforms Data & ML Operations Generative & Agentic AI You'll partner with Sales, Marketing, and Delivery teams to co-create solutions, design winning proposals, and accelerate business growth. Ideal for senior data consultants, data architects, or pre-sales experts, this is a chance to lead at the forefront … within professional services or a high-growth tech environment. A successful track record of developing and closing £M+ data & AI deals with business stakeholders. Strong expertise in AI/ML market offerings and related solutions (Gen AI, Agentic AI, ML Ops, Model Ops) as well as one or more other core technology areas - such as modern data platforms, data product More ❯

real-time messaging and stream processing is a plus. Data Engineering: Experience with Apache Spark, Databricks, or similar big data platforms for processing large datasets, building data pipelines, and machine learning workflows. Workflow Orchestration: Familiarity with tools like Apache Airflow or Temporal for managing workflows and scheduling jobs in distributed systems. Stream Processing: Experience with Apache Flink or More ❯