1 to 25 of 108 Remote/Hybrid Machine Learning Jobs in Manchester

processes giving Markerstudy a critical advantage in the increasingly competitive insurance market by minimizing the development to deployment and monitoring stages of the ML lifecycle through automation. You will also be responsible for refining, tuning, deploying and maintaining machine learning methods in our machine learning pipeline … customer-centric offerings across Motor, Home and Commercial Lines businesses. The successful candidate will also enjoy opportunities for leading, coaching, and mentoring more junior ML Engineers. Key Responsibilities: Report and communicate with Senior Stakeholders, such as the Head of Data Science and Machine Learning and Director of Technical ...

Machine Learning Engineer Location: Flexible (Hybrid) Working set up: Hybrid Salary: Competitive + bonus + benefits SPG are working on behalf of an established financial services organisation investing heavily in its data science and AI capabilities. As part of an expanding team, the business is delivering a range … learning models from research through to production. You'll work closely with Data Scientists, Data Engineers and Software Engineers to build robust, scalable ML solutions while helping define best practices, tooling and automation across the full machine learning lifecycle. This role is ideal for someone with ...

Near Real-Time and Batch Inferencing: Use infrastructure like Spark and Ray to stand up inferencing services that integrate with operational/analytics workloads. ML Infrastructure: Help build a first-class machine learning platform from the ground up which helps manage the entire model lifecycle: feature engineering, model … experience in applied machine learning on real recommendations use cases (brownie points for productionised sequential learning use cases!). Experience with ML/distributed ML frameworks like Ray, Spark-MLlib, TensorFlow etc. Experience with real-time scoring/evaluation of models with low latency constraints. Great coding ...

Continued success relies on building customer relationships with Roku that delight and engage them.Within Advertising Engineering, the MarTech team builds the products, services, and machine learning systems that help Roku deliver the right communication, creative, and marketing experience to the right customer at the right time … hand experience in applied machine learning on real recommendations use cases (brownie points for productionised sequential learning use cases!).Experience with ML/distributed ML frameworks like Ray, Spark-MLlib, TensorFlow etc.Experience with real-time scoring/evaluation of models with low latency constraints.Great coding skills ...

support flexible working – Flexible Working Options: Hybrid Working, Job Share Job Description Summary Job Description As a Senior Lead Machine Learning & AI Engineer within the Financial Wellbeing Platform, you’ll play a pivotal role in shaping and delivering ground breaking AI solutions that solve complex business challenges … capability roadmap, and ensure the delivery of high-quality, scalable models and solutions. Job Details Job Title: Senior Lead Data Scientist and AI & Machine Learning Engineer Salary: £92,701 - £108,000 Location(s): Manchester Hours: Full Time Working Pattern: Our work style is hybrid, which involves spending ...

transformation in secure environments where quality, assurance and governance matter.Your work will help clients move from data science experimentation to production-ready AI and ML solutions that are scalable, explainable, secure and aligned to measurable mission outcomes.Connect to your career at Deloitte Deloitte drives progress. Using our vast range … action we take, guiding us to deliver impact how and where it matters most.Connect to your opportunity We are seeking to hire experienced ML Engineers within our AI Scaling and Transformation team, a centre of excellence in Deloitte’s Engineering, AI & Data service offering.You will work alongside clients, third parties ...

days per week, or 40% of your time, at one of our office sites. About this opportunity Do you want to shape how AI, machine learning and agentic technologies improve the financial wellbeing of millions of customers? As a Senior Lead Data Scientist and AI & Machine Learning … work with talented colleagues, solve meaningful problems and influence how AI is applied at enterprise scale. You'll join a collaborative environment where learning, innovation and continuous improvement are encouraged, and where you'll have the opportunity to make a genuine impact through your work. In this role ...

unsupervised learning, deep learning, transformers, generative AI and agentic AI patterns.Ability to assess the suitability, limitations and risks of different AI/ML techniques for real client use cases.Experience working across at least part of the data science or machine learning lifecycle, from exploration and prototyping … across all the areas below, but we are particularly interested in people who can bring in one or more of them:Applying AI/ML techniques to text, audio, imagery, video, geospatial, graph or multimodal data.Developing solutions using machine learning frameworks such as PyTorch, TensorFlow, scikit-learn ...

take, guiding us to deliver impact how and where it matters most.Connect to your opportunity We are seeking to hire talented AI/ML Engineers within our AI Scaling and Transformation team, a centre of excellence in Deloitte’s Engineering, AI & Data service offering.You will work alongside clients, third parties … technical capability with client-facing delivery, helping to translate business needs into production-ready AI and machine learning systems.As an AI/ML Engineer, you will play a key role in designing, developing and delivering data and AI solutions for our clients. In this role ...

Design, train, and deploy production-grade ML models. About the Role As a Senior Machine Learning Engineer, you will lead the design, development, and deployment of production-grade machine learning systems for global enterprise clients. You'll work at the intersection of research and engineering, translating … cutting‐edge papers into scalable, reliable solutions. This is a high‐impact role where you'll mentor junior engineers, shape our ML architecture, and collaborate directly with clients to solve their most complex challenges. Design and implement end-to-end ML pipelines from experimentation to production Lead model development across ...

machine learning or generative AI systems, such as LLM-powered applications, RAG pipelines, embeddings, prompt engineering, model evaluation, agents, model serving, or ML workflows. Experience designing and delivering cloud-based systems, for example using AWS, Google Cloud or Azure, along with modern DevOps practices and infrastructure-as-code … mentoring or supporting the development of software engineers. Fluency in our core software tooling: Git, Unix/Linux, Docker, and common open-source AI, ML or MLOps tools. Plus, a strong opinion on your IDE/editor of choice is welcome ;) You should be aware of the broad landscape ...

Implementation Engineer ( Data Science/ML Background) Manchester | Hybrid (3 Days Office/2 Days Remote) A growing technology-led organisation is looking to appoint an AI Implementation Engineer to play a key role in driving AI adoption across the business. This is an exciting opportunity for someone with … Data Science and Machine Learning background who has evolved into delivering production AI solutions. You'll combine expertise across AI, ML, LLMs, data engineering and enterprise infrastructure to design, develop and implement AI solutions that create genuine business value. Working closely with IT, commercial stakeholders and operational teams ...

sits at the intersection of Data Engineering, AI and Generative AI , giving you the opportunity to work across modern data platforms, scalable data pipelines, machine learning and LLM-enabled solutions. You must currently come from, or have recent experience working within, a consultancy or professional services environment , with … within larger data and AI transformation programmes. Design, build and maintain scalable data pipelines, datasets and data models. Develop solutions that support analytics, reporting, machine learning and AI use cases. Work with both structured and unstructured data from multiple sources. Develop and implement AI and machine learning ...

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 … will involve working with key stakeholders to identify opportunities and requirements for data and AI projects, helping apply structured data analysis, data science, and machine learning techniques to enable actionable business insights, and promoting user adoption of the developed data tools and products.In your role, you will have ...

multidisciplinary teams and to manage relationships with stakeholders.Relevant industry certifications (e.g., AWS, Azure, GCP, or equivalent) and completion of technical courses in AI/ML, data engineering, or cloud technologies are desirable.TECHNICAL PROFICIENCYStrong proficiency in at least one modern programming language commonly used in AI/ML (e.g., Python … with hands-on experience developing, training, and deploying machine learning models.Practical experience with leading AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn, XGBoost), including model selection, tuning, and evaluation.Experience implementing end-to-end machine learning workflows, including data preprocessing, feature engineering, model development ...

huge variety of interesting, international, and world-leading clients on exciting next generation technology-enabled projects. We are looking for candidates with AI/ML Engineer based expertise to join us, working in fast-paced teams with other highly talented, fun and motivated colleagues.We encourage consideration of flexible ways … with some flexibility, please do discuss it with us.Your roleAs a practitioner in AI&D, you are responsible for delivering AI/ML Engineering on client projects. You are encouraged to devise innovative solutions to help our clients address their biggest data challenges including developing modern analytics platforms.AI/ML ...

AECOM’s commitment to delivering sustainable and innovative solutions, the Senior Data Scientist will play a critical role in advancing analytics, AI/ML strategies, and IoT-driven insights to unlock measurable business value across infrastructure, environmental, and urban development sectors.Reporting to the Data Intelligence Lead, this role will focus … designing and implementing predictive and prescriptive models, driving AI/ML strategies, and collaborating with cross-functional teams to integrate data science solutions into AECOM’s operational workflows. The ideal candidate will bring expertise in advanced analytics, machine learning, and IoT technologies, with a passion for solving complex ...

list a few. Role overview As a Data Scientist, you will use your advanced analytical skills to: Lead the development of cutting-edge, bespoke machine learning predictive models, including risk pricing and classification and regression models Identify and create data solutions that create value Work collaboratively with … such as area or vehicle classification, as well as predictive models for other business use cases such as conversion, retention or price optimisation Prototype ML solutions before handing to the ML team for implementation Conduct more advanced yet focused research and development to solve business challenges Work collaboratively with other ...

understand operational challenges and translate them into scalable AI and data-driven solution architectures.Design, develop and deploy AI and Generative AI solutions, including machine learning models, data pipelines and application components that are secure, reliable and performant.Drive the operationalisation of AI solutions using modern engineering and MLOps practices … EDUCATION & EXPERIENCEDegree or equivalent experience in Computer Science, Artificial Intelligence, Data Engineering, Mathematics or a related discipline.Proven experience designing, building and deploying AI or machine learning solutions in a consulting, public sector or enterprise technology environment.Experience owning technical deliverables or workstreams, managing priorities and engaging effectively with both ...

critical role in expanding the impact of our Data & AI products across the Trips domain. You will define strategy and long-term vision for ML-powered capabilities that enable Trips product teams to move faster, make better decisions, and deliver step-change improvements in customer experience and marketplace performance.You will … liaison between Data & AI and the Trips product organization, serving as a trusted partner to senior product and business leaders. You will bring deep ML domain expertise, consult closely with product teams, and collaborate on identifying and shaping high-impact AI-driven opportunities across attractions, flights, and ground transport.This ...

critical role in expanding the impact of our Data & AI products across the Trips domain. You will define strategy and long-term vision for ML-powered capabilities that enable Trips product teams to move faster, make better decisions, and deliver step-change improvements in customer experience and marketplace performance. … liaison between Data & AI and the Trips product organization , serving as a trusted partner to senior product and business leaders. You will bring deep ML domain expertise , consult closely with product teams, and collaborate on identifying and shaping high-impact AI-driven opportunities across attractions, flights, and ground transport. This ...

engineering in collaboration with senior technical customers and cross-functional teams.The role is suited to a senior engineer with deep expertise in AI/ML security, modern software engineering, and secure-by-design approaches. You will champion secure architectures, embed DevSecOps practices, and help elevate engineering capability as the organisation … itWhat we’re looking for? Experience operating as a senior security engineer and leading engineering initiatives in a DevSecOps environment.Strong expertise securing AI and ML systems at scale, including model lifecycle security, data pipelines, and secure deployment.Strong hands‐on experience with machine learning stacks, such as PyTorch, TensorFlow ...

collaboration with senior technical customers and cross‐functional teams. The role is suited to a senior engineer with deep expertise in AI/ML security, modern software engineering, and secure‐by‐design approaches. You will champion secure architectures, embed DevSecOps practices, and help elevate engineering capability as the organisation adopts … looking for? Experience operating as a senior security engineer and leading engineering initiatives in a DevSecOps environment. Strong expertise securing AI and ML systems at scale, including model lifecycle security, data pipelines, and secure deployment. Strong hands‐on experience with machine learning stacks, such as PyTorch, TensorFlow, MLflow ...

noting that you will be unable to work at home 100% of the time. Key Responsibilities: Design, build, and deliver production-ready AI and machine learning solutions that create measurable business value. Integrate generative AI capabilities, knowledge retrieval approaches, and intelligent automation into robust cloud-based services. Develop … helping clients and colleagues understand the potential and responsible application of AI technologies. Must-Have Skills Proven experience designing, building, and deploying AI and machine learning solutions in enterprise environments. Strong understanding of the end-to-end AI lifecycle, from data preparation through deployment, monitoring, and optimisation. Experience ...

static and dynamic wallpapers, trivia, featured experiences, and AI-driven content initiatives — that reach millions of Roku users worldwide. You will leverage AI and machine learning technologies to develop new capabilities that enhance user experiences across the Roku platform. This role requires a proactive, ownership-driven approach where … solutionsWhat experience would help someone be successful in this role at Roku? Extensive experience in a software engineering environmentDemonstrated project work using AI/ML and LLM technologiesProficiency in scripting languages such as JavaScript, TypeScript, React Native, Python, BrightScript, or related technologiesExperience working in an embedded environmentExperience in productionising solutions ...