Machine learning jobs in RochdaleCreate job alerts

About Wilgot Wilgot is building the category-defining Agentic Product Optimization (APO) platform for e-commerce. We are addressing the "adapt-or-die" reality that brands face as search shifts from keyword-matching to AI-driven discovery in interfaces like ChatGPT and Google AI Mode. Recognized by Dawn Capital as one of the top AI startups redefining e-commerce, our platform automates the repositioning of product catalogs for global, recognized brands, ensuring every product finds its buyer through intelligent content. What we do Wilgot provides the intelligence layer that transforms "thin" metadata into Intelligent Content optimized for the era of Agentic Commerce. Our Core AI Loop: • Discover: Leverage AI and data analysis (customer queries, first-party data, Google, ChatGPT, Perplexity) across 100+ markets to identify hidden demand, language attributes, and purchase signals. This phase focuses on turning raw data into clear, actionable content strategy., • Generate: Build and deploy systems that create high-quality, structured, and intent-aligned product content (titles, descriptions, attributes, FAQs) natively in 100+ languages. The goal is to optimize content for both user conversion and interpretation/recommendation by AI search systems., • Iterate: Design and manage a continuous feedback and optimization system. Monitor product performance across major search platforms, then programmatically regenerate and improve content based on visibility, engagement, and conversion data to maintain optimal relevance and discoverability. The Role Having validated our proprietary AI engine, we are now scaling it into a sophisticated, autonomous agentic platform. As a Senior AI Engineer, you will transition from AI theory to solving tangible, high-scale engineering challenges. You will work alongside our founding team and our Founding AI Scientist (PhD in Reinforcement Learning) to translate cutting-edge research into enterprise-scale production features. Key Responsibilities • Scale Agentic Architectures: Advance existing workflows into multi-agent systems capable of autonomous reasoning, state management, and self-correction., • Model Development & Fine-Tuning: Lead the full lifecycle, from designing training strategies and curating high-quality datasets to executing model fine-tuning., • Advanced Feature Engineering: Build pipelines that leverage LLMs to extract latent product attributes and consumer intent signals from unstructured data., • System Observability & Reliability: Implement evaluation frameworks to monitor model performance, hallucination rates, and direct business impact., • Technical Leadership: Influence our technical stack and help define the engineering culture of a rapidly scaling startup. Requirements • Technical Depth: Extensive ML engineering experience with a deep understanding of LLM architecture, training and fine-tuning (you don't just call APIs). You know how to use AI to generate features that drive performance, moving beyond basic metadata into deep semantic understanding., • Agentic Systems: Proven experience with agentic frameworks (e.g., LangGraph, PydanticAI) and managing memory and tool-calling in production., • Engineering Mindset: Ability to write clean, testable Python and familiarity with modern MLOps stacks., • Product Experience: Experience shipping ML systems in production for real users, with an experimental mindset and high bar for AI ethics. Why Join Wilgot? • Practical AI at Scale: Solve real-world, high-scale AI problems for global brands., • High Impact Team: Join a small, lean, high-growth team. You'll have significant influence on the technical stack and trajectory with no bureaucracy. You aren't joining a machine, you are part of building it., • Flexible Remote-First: Work remotely with autonomy, prioritizing deep work. Or from one of our hubs in Stockholm or London. We promote in-person collaboration with regular full-team offsites., • Generous Ownership: Receive a generous equity package, ensuring true ownership and a significant stake in the company's value as we scale globally., • Your choice of equipment: We provide a top-tier tech budget for your preferred hardware and home-office setup, ensuring you have the best tools for the job.

About Mirantis Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable, production-ready developer platforms across any environment—on-premises, in the cloud, at the edge, or in sovereign data centers. As enterprises navigate the growing complexity of AI-driven workloads, Mirantis delivers the automation, GPU orchestration, and policy-driven control needed to manage infrastructure with confidence and agility. Committed to open standards and freedom from lock-in, Mirantis ensures that customers retain full control of their infrastructure strategy. Job Description Mirantis is inviting an experienced and client-focused Senior Solution Architect to join our dynamic client-facing technical team. You will develop trusted advisor relationships with prospects and customers by educating, presenting, demonstrating, and conducting POCs of Mirantis’ AI Infrastructure platform. This role offers the opportunity to work on ambitious, cutting-edge technology within the fast-evolving AI and cloud-native ecosystems. Responsibilities Partner with sales to support enterprise opportunities, and help customers understand the value of Mirantis’ industry-leading AI and Kubernetes-based solutions. Lead technical discovery sessions, demos, and proof-of-concept engagements with customers and partners. Translate customer requirements into solution architectures leveraging Mirantis’ products and best practices. Deliver engaging technical presentations and live demonstrations that showcase Mirantis’ platform capabilities, business value, and open-source innovation. Provide field feedback to influence product direction and go-to-market strategy. Serve as a trusted technical advisor – building and maintaining long-term relationships with client stakeholders while representing their needs within Mirantis. Represent Mirantis at industry events, conferences, and community meetups by delivering technical sessions, demonstrations, and thought leadership content. Qualifications 5+ years’ experience in a pre-sales, solutions architecture, or technical consulting role for cloud-native or enterprise software. A working knowledge of: Cloud infrastructure, including Kubernetes, OpenStack, Docker, microservices, and public cloud services (AWS, GCP, Azure) AI/ML infrastructure tools (e.g., Kubeflow, MLflow, NVIDIA AI), and how they integrate with cloud-native platforms DevOps and automation tools, including CI/CD pipelines Observability tooling, including open-source monitoring, logging, and alerting systems Strong understanding of the competitive landscape within the cloud infrastructure and open-source ecosystem. Track record of delivering outcomes for Fortune 500 clients and influencing senior IT/engineering leaders (CIO, CTO). Exceptional written, verbal, and presentation skills with the ability to communicate complex ideas clearly to technical and business audiences. Ability to travel to customer sites and events as needed. Preferred Qualifications Strong hands-on experience with Kubernetes, Docker, containers, virtualization technologies (vSphere, OpenStack), and leading public cloud platforms such as AWS, Google Cloud Platform, and Azure. Industry certifications (AWS, Azure, Kubernetes), especially Certified Kubernetes Administrator (CKA) Proven experience with enterprise-grade security, compliance, and regulatory frameworks. Comfortable operating in global, remote, and hybrid environments, with a demonstrated ability to manage complex projects across multiple teams and stakeholders. Soft Skills and Team Fit Proven problem-solving, consultative, and relationship-building skills. Entrepreneurial drive with a passion for learning and continuous improvement. High integrity, transparency, and a collaborative mindset. Additional Information What does Mirantis offer you? • Work with an established Silicon Valley leader in the cloud infrastructure industry;, • Work with exceptionally passionate, talented and engaging colleagues, helping Fortune 500 and Global 2000 customers implement next-generation cloud technologies;, • Be a part of cutting-edge, open-source innovation;, • Thrive in the high-energy environment of a young company where openness, collaboration, risk-taking, and continuous growth are valued;, • Professional development and training;, • Attend conferences and working groups;, • Company outings, happy hours, hackathons, and tech talks;, • Receive a competitive compensation package with a strong benefits plan. It is understood that Mirantis, Inc. may use automated decision-making technology (ADMT) for specific employment-related decisions. Opting out of ADMT use is requested for decisions about evaluation and review connected with the specific employment decision for the position applied for. You also have the right to appeal any decisions made by ADMT by sending your request to By submitting your resume, you consent to the processing and storage of your personal data in accordance with applicable data protection laws, for the purposes of considering your application for current and future job opportunities. We are a Leader for Container Management in G2 (#2 after AWS)!

A leading digital marketplace is seeking an experienced Engineering Manager focused on machine learning to lead their recommendation team. Offering a salary up to £140,000 and a progressive benefits package, this role supports flexible working arrangements including remote work.

A leading technology company in Manchester is seeking experienced Machine Learning Engineers to develop cutting-edge neural graphics algorithms.You will work in a collaborative environment, inventing and implementing state-of-the-art algorithms for gaming.This role demands a strong background in dee

Engineering Manager, Machine Learning, Marketplace, Ecommerce, 35 Million Users, UK Remote OR London, Hybrid, 1 Day PW, Up to £140,000. If you are interested in the Engineering Manager, Machine Learning, Marketplace, Ecommerce, 35 Million Users, UK Remote OR London, Hybrid, 1 Day PW, Up to £140,00

Machine Learning Engineer - Contract (Financial Services, Outside IR35). Design, build, and deploy machine learning models into production within a Financial Services environment.

With strong backing for data-driven decision-making, they are now looking for a Machine Learning Engineer to help operationalise, maintain, and optimise their ML systems across the organisation. Deploy, productionise, and monitor machine-learning models across the business. We are working with a ful

ML / AI Engineer (Python/Azure), Fully Remote, £80,000 - £110,000 per annum.My client, a leading AI solutions company are currently looking to strengthen their team and bring on an ML / AI Engineer on a permanent basis.GenAI, ML Models as well as coding in Python.Build and integrate ML models into

Computer Science, Machine Learning, or a closely related discipline. Machine Learning Research Engineer - LLM post-training/mid-training. Strong grasp of transformer architectures, optimization techniques, and representation learning principles.

Integrate classical machine learning models into agentic AI workflows where predictive capabilities inform planning, decision-making, and action selection. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakth

Machine Learning Engineer/Senior Machine Learning Engineer.

A leading AI technology company in Greater London seeks a Lead Machine Learning Engineer to spearhead complex AI projects.

Director of AI | Machine Learning | Deep Learning | Natural Language Processing | Large Language Models | Leadership | Remote, UK.

Insurance Pricing, Data Science and Advanced Analytics Recruitment Specialist Perm | Contract I Insurtech I General Insurance I Broking I Lloyds….Manchester (moving to 3 days soon).ML team (4 ML engineers today).The team is growing, and so is the opportunity to step up.Translating model outputs in

Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Design, train, and opt

Experience in industry machine learning roles as a technical leader or senior engineer. Senior Machine Learning Engineers at Cleo work on building novel solutions to real‑world problems. Ultimately, we’re looking for a brilliant Senior Machine Learning Engineer to join us on our mission to fight

Our work includes data analysis, large-scale offline pipelines, machine‑learned model training and inference, and online services to provide real‑time personalised experiences.

Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and c

Strong understanding of Natural Language Processing, Machine Learning, and Deep Learning fundamentals with proven history of model development and deployment. Join FactSet's Data Solutions AI team where our mission is to transform how financial professionals discover and interact with data through c

As a Senior Machine Learning Engineer, youll play a key role in turning data into meaningful impact. Deploy and maintain reliable, high-performing machine learning models in production, including development of a framework for robust model lifecycle management. Youll be a successful Senior Machi

A premier quantitative research firm in Greater London is seeking an exceptional Machine Learning Engineer to join their ML and HPC Architecture team. Key responsibilities include optimising model inference, evaluating ML hardware, and working alongside experts to leverage cutting-edge technologies

Develop and own our machine learning models & policies that drive sophisticated decisions. Understanding the basics of machine learning and statistics.

Director | Quantitative Recruitment Expert | Connecting Hedge Funds & Prop Trading Firms with High‑Calibre Quant Talent | Speed to Market & Quality….I am working with a new hedge fund who have just raised a significant and respectable AUM.They are proactively looking for Low to Mid Frequency Sys

Our Data Science mission is to build machine learning models in the production environment relative to Marketing, Customer Insights, and Safer Gambling and establish a strong culture of data-driven decision-making in our organisation's strategy. Passion for learning and keeping abreast of new techno

Senior Machine Learning Engineer (IntelliJ AI) – JetBrains. We are currently looking to hire a Senior Machine Learning Engineer to help us realize our ambitious vision of creating AI assistance that supports the entire development lifecycle across JetBrains IDEs.

Are you passionate about cutting‑edge AI and machine learning in digital services, and want to deliver positive real‑world value to the UK? We are looking for a ML Engineer to join our team and help solve a variety of interesting problems in the national security space. As a Senior ML Engineer,

We are looking to expand our team by the hiring of focused, aspirational and collaborative practitioners, and as such we are offering the opportunity to join as a Data Science and Machine Learning Senior Manager to support this challenging and rapidly expanding business. Deep knowledge in a range of

Canopius Group is seeking a Senior Machine Learning Engineer to lead end‑to‑end design, delivery, and operation of production machine learning models on Databricks. Senior Machine Learning Engineer. Lead design, development, testing, deployment, and monitoring of machine learning solutions on Da

Get notified about new Machine Learning Engineer jobs in.

Driving the machine learning strategy and building best practices from the ground up. The platform transforms educational content into smart, personalised learning tools - and is already seeing rapid user growth and strong traction in the market.

This role will join an existing, high performing team of Machine Learning experts and be responsible for the productionisation of Machine Learning Models within Pricing. Strong Machine Learning experience (not Data Science). Senior Machine Learning Operations Engineer.

A leading online retailer in Greater London is seeking a Machine Learning Engineer to develop and deploy impactful machine learning solutions within a cross-functional team. The ideal candidate will have hands-on experience in deep learning, proficiency with modern ML frameworks, and excellent commu

Machine Learning Operations: Responsible for designing, deploying, maintaining and refining statistical and machine learning models using Azure ML. Previous experience in designing, building, optimising, deploying and managing business-critical machine learning models using Azure ML in Production en

You have professional experience in machine learning with expertise in deep learning methods and their practical applications in production environments. We are looking for a Senior Machine Learning Engineer, with expertise in deep learning, to join our cross-functional Outfits Discovery team. You w

Machine Learning Engineer (MLOps) – AI Consultancy | Manchester | £50k–£60k + Equity + Benefits. If you're passionate about productionising machine learning and want to work on real-world AI challenges, this could be the role for you. Prior experience in a Data Science / Machine Learning / Eng

You are recognised as a senior technical authority, able to dive deep into complex problems while maintaining a broad perspective across modern engineering and machine learning systems. You will define engineering strategy for large-scale machine learning initiatives, architect and deliver resilient

Deliveroo Cost Center Hierarchy, Technology, Technology, Machine Learning, Machine Learning (Care Tech), Machine Learning (Care Tech). You’ll design and build machine learning models from the ground up to move beyond static rules and heuristics. Owning the design, development, and productionisatio

The Data Science team at Penguin Random House is seeking two Machine Learning Scientists to build and improve machine learning products that power how we understand demand, set strategy, and connect readers with books. Machine Learning Scientist, Pricing/Personalization (Open to Remote). As the worl

Data Science, Machine Learning, Research and Development, Algorithms, Python, Stakeholder Engagement. Working as part of a small, well-funded research group within a growing area of the business, this team delivers innovative data science and machine learning solutions to complex customer problems.

Policy Expert – Senior Machine Learning Engineer. We are seeking a Senior Machine Learning Engineer to play a leading role in the design and evolution of Policy Expert’s next-generation ML platform on Google Cloud. Design, implement and standardise end-to-end machine learning pipelines using Ver

Principal Machine Learning Engineer. This role offers the opportunity to define architectural strategy, lead transformative initiatives, and work at scale on platforms infused with machine learning and semantic intelligence to unlock deep insights from complex data. Drive cross-functional initiative

Senior Machine Learning Scientist (User Modelling/Representation Learning) - Viator. Knowledge in (any or all) User Modelling, Representation Learning, RecSys, Large Language Models (LLM). The Representation Learning team’s charter is to enable embedding latent representations of entities across o

We are seeking a strategic and technically strong.Reporting directly to the CTO, you will define and execute the end-to-end AI strategy — from identifying cutting-edge research opportunities to prototyping advanced capabilities and integrating them into production systems.This is a unique opportun

Join to apply for the Machine Learning Engineer role at HASH. Supervised learning (classification/regression), including feature engineering and regularization.

We are working with a fully remote gaming and entertainment business that is scaling its data and machine‑learning capabilities. With strong backing for data‑driven decision‑making, they are now looking for a Machine Learning Engineer to help operationalise, maintain, and optimise their ML sys

Machine Learning Solutions Engineer.

Strong experience as a backend software engineer, machine learning engineer, or applied data scientist.

Lead Machine Learning Engineer – Data Science Team. We are looking for a Lead Machine Learning Engineer to join our Data Science team, to lead the research and development process of ML/AI services developed in the Group Data Science team. Develop a highly proficient team of Machine Learning Engin