Machine learning engineer jobs in Reino Unido - Page 2

Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning. This is a new and exclusive opportunity for a AI Engineer / Azure Artificial Intelligence Engineer to join a thriving STEM business as they are growing their AI Engineer / Azure Artificial Intel

They are looking for a talented Lead Machine Learning Engineer to join their growing team and help shape the future of intelligent systems. As Lead ML Engineer, you will:. Lead and mentor a team of software engineers.

Collaborating with data engineers on data architecture, pipelines and feature stores. As a Machine Learning Engineer, you'll work closely with Data Scientists, Data Engineers and delivery teams to productionise models and build robust, scalable ML systems within client environments. Designing and bu

Lead Backend Software Engineer / Developer (Rust Golang) London / WFH to £110k.Are you a senior, backend focussed technologist with leadership skills?.You could be progressing your career as a Lead Backend Software Engineer, working on bleeding edge, Machine Learning and AI powered, audio fraud det

Senior Machine Learning Engineer London.Are you a Senior ML Engineer who wants to build AI that genuinely matters?.Our client is a leading digital technology organisation delivering AI, data, and software solutions to UK public sector and national security customers.They are expanding their machine

Senior ML & AI Engineer Remote (Bath office 1 day per month) Up to £80,000 About the Role We’re partnered with a fast-growing tech startup focused on how brands and retailers use data. Their AI platform brings together data science, immersive visualisation, and large-scale machine learning to optimise product ranges, plan shopper journeys, and drive smarter commercial decisions. They’re now looking for a Senior ML & AI Engineer to join their lean, high-impact engineering team. This is a pivotal role at the intersection of ML engineering, backend systems, and LLM integration - ideal for someone who thrives in fast-paced, hands-on environments where ML systems are core. Responsibilities • Design, build, and maintain scalable backend systems that power advanced ML and LLM applications., • Develop and manage end-to-end MLOps pipelines with automation, reproducibility, and scalability at their core., • Deploy and monitor machine learning and LLM models in production, identifying model drift and performance issues., • Drive research and development in modern ML, AI, and LLM approaches, applying SOTA techniques in a real-world setting., • Champion clean, maintainable, and well-documented code following best engineering practices. What We’re Looking For • Strong academic background in Computer Science, ML, AI, or a related field., • Deep hands-on experience with Python and ML frameworks (PyTorch, TensorFlow, Hugging Face)., • Proven background in MLOps, including model versioning, CI/CD for ML, and production monitoring., • Experience building robust backend systems and APIs to serve ML models at scale., • Strong understanding of big data technologies and data orchestration tools (Airflow, DBT)., • Familiarity with LLM integration and optimisation in production environments., • Excellent problem-solving, analytical, and communication skills., • Experience fine-tuning LLMs (e.g. Unsloth, cloud-based methods).

Machine Learning Engineer: Xcede has started working with a leading AI solutions company. Wanting to turn advanced machine learning into dependable production systems, you will shape technical delivery and drive real-world impact for clients. This role involves designing and delivering robust machine-learning systems from concept to live operation, develop shared approaches that speed up future delivery, work closely with multidisciplinary teams to address complex client needs, take ownership of technical definition and system design, establish best practices for scalable deployment, and provide clear technical guidance to stakeholders across a range of audiences. Requirements: • You have end-to-end experience with machine-learning workflows, including taking trained models and integrating them into live systems using modern ML tooling, • You are highly proficient in Python and apply sound engineering principles when designing and building software, • You have practical experience designing and operating systems within large-scale cloud environments, with an understanding of secure and resilient architecture., • You have experience packaging applications for repeatable deployment and operating them reliably across scalable runtime environment, • You have a solid grasp of the mathematical and conceptual foundations that underpin modern machine-learning methods, • You communicate clearly and effectively, supporting technical teams while providing trusted guidance to a wide range of stakeholders, • You are comfortable operating in dynamic settings and take ownership of defining, solving, and delivering end-to-end solutions If you are interested in this or other ML Engineer positions, please contact Gilad Sabari @ | 02074226861

Senior AI/ML Engineer Fully Remote £100,000–£120,000 + benefits About the Role Our client, a blockchain analytics scale-up, is looking for a Senior AI/ML Engineer to join their expanding team. They’re scaling their AI capabilities and need someone passionate about applying cutting-edge machine learning and LLM techniques to real-world crypto data. You’ll work directly with a Staff AI/ML Engineer who has built advanced ML teams in the past, driving projects that power their platform - used by investors to discover opportunities, perform due diligence, and defend portfolios. Key Responsibilities • Designing, implementing, and maintaining AI/ML models to analyse blockchain data at scale., • Translating complex datasets into insights that inform investment and trading strategies., • Working with product teams to build AI-powered features directly into the core platform., • Staying on top of developments in AI, ML, and blockchain - and experimenting with new techniques., • Automated wallet and address labelling through AI and NLP., • NFT and asset price estimation models., • Advanced analytics to detect patterns and behaviours across blockchain data., • Integrating LLM-based capabilities into customer-facing products. What We’re Looking For • 3–6 years of experience in Data Science or ML Engineering., • Strong Python skills and hands-on experience building end-to-end ML solutions., • Interest in blockchain, crypto, or fintech (commercial crypto experience a plus)., • Experience with GCP or similar cloud environments., • Familiarity with modern LLMs or AI APIs., • Someone who experiments in their spare time, reads papers, and keeps up with the latest in AI., • Collaborative and proactive, with the ability to thrive in a remote, fast-paced environment. Interview Process • Culture fit interview., • Technical discussion with the AI Lead., • Technical test (general DS/ML best practices)., • Final panel interview.

Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles.

Were shortlisting for an experienced Machine Learning Engineer to design, build, and deliver cutting-edge AI solutions for customers.

An opportunity is available for an experienced Senior Machine Learning Engineer to design, build and operationalise advanced machine learning solutions that directly support UK national security objectives. The successful candidate will balance rapid experimentation with production readiness, protot

Lorien's leading banking client is looking for a Machine Learning Engineer to join the growing data science and AI team. Collaborate with data engineers and AI engineers on interfaces and SLAs. You'll play a key role in building and operating robust ML pipelines and serving systems for classic ML an

As a Machine Learning Engineer, you will:. Our client is a forward-thinking technology company at the cutting edge of AI and machine learning. Design, build, and deploy production-grade machine learning solutions.

AI / Machine Learning Engineer / Staff Machine Learning /. This role sits at the heart of that growth and will suit an AI / Machine Learning Engineer who enjoys taking models from concept through to production. You will work closely with software engineers, data teams, and product stakeholders to de

The company is hiring a Machine Learning Engineer at Tech Lead level to join a central ML team supporting Product and Engineering groups. Machine Learning Engineer (Tech Lead).

Senior AI Engineer Fully Remote - UK based only. £70,000 to £80,000 + Bonus + Private Health Care - Permanent Position Do you want to have the chance to take ownership of a growing AI function and influence both the technical direction and long-term capability of a team? You will join at a point where the foundations are still being shaped, which gives you space to design systems, introduce standards and lead key decisions. You will also mentor junior engineers who are already in place, giving you a clear leadership path. The work involves varied challenges across research, applied engineering and production deployment, with an environment that supports autonomy and technical depth. Our client builds data-driven products that rely on large volumes of text-based information. They are expanding their AI capability and are hiring a Senior AI Engineer to take the lead in developing and productionising advanced NLP and LLM-based solutions. The Senior AI Engineer will be responsible for designing, building and deploying AI systems, with a focus on text processing, NLP and LLMs. You will work across research and implementation, taking models from concept to production, setting technical standards and supporting junior engineers. The role involves close collaboration with the AI, MLOps and Data Engineering teams, contributing to the wider technical strategy and ensuring models are reliable, maintainable and scalable. Key Responsibilities • Design and develop NLP and LLM-based systems for internal products and workflows., • Evaluate new models, techniques and approaches, recommending what should be adopted., • Fine-tune and adapt foundation models using domain-specific datasets., • Carry out analysis to understand model behaviour, drift and explainability., • Build and maintain tools for evaluation, prompt testing and dataset preparation., • Work with the MLOps engineer to deploy, monitor and retrain models in production., • Support CI/CD processes for AI, including version control, reproducibility and rollback workflows., • Provide mentorship and guidance to junior engineers., • Collaborate with product and engineering teams to integrate AI functionality into the platform. Required Experience • Experience as an AI or Machine Learning Engineer with responsibility for end-to-end model development and deployment., • Deep knowledge of RAG, • Experience processing high volumens of documentation/text, • Strong knowledge of NLP and LLMs (transformers, fine-tuning, retrieval-augmented methods, agents)., • Experience conducting applied research and converting experimental outcomes into production systems., • Familiarity with retraining workflows and performance monitoring., • Understanding of explainability and fairness techniques., • Hands-on experience with containerisation and orchestration (Docker/Kubernetes)., • Understanding of MLOps practices, CI/CD and model registry processes., • Experience mentoring or guiding junior engineers or leading technical initiatives. Nice to Have • Experience working with sensitive or regulated data (not essential)., • Experience with graph-based retrieval., • Familiarity with Azure ML or similar tooling. Career Path and Growth You will act as the senior figure within the AI group, shaping standards, guiding junior colleagues and influencing long-term technical decisions. Over time, this may evolve into broader leadership responsibilities as the team expands. The role suits someone who wants a balance of hands-on engineering, technical ownership and mentoring.

Job Title: Software Engineer - Backend Contract Duration: 6 months with potential for extension Location: Remote - UK Job Description: This is a generalist mid-level backend position within the Ads Organization. Ads are the fuel that powers the client's mission. Technologies used on the team include: Languages: Go, Python, Scala Frameworks: Spark, Thrift, Kafka Data stores: Postgres, BigQuery, Redis, Druid Tools: Kubernetes, Airflow, Docker Job responsibilities: • You will work with the existing engineering team and help contribute to the direction of the project and team, • Collaborate with cross-functional teams to design, develop, and implement solutions, • Create and maintain APIs, rSpec testing suite, and middleware to facilitate data flow between systems, • Perform system analysis, troubleshooting, and debugging to identify and resolve integration issues, • Ensure compliance with security protocols and data privacy regulations during integration processes, • Troubleshoot and optimize application performance to provide optimal experience, • Ability to design maintainable database schemas and easy-to-understand data structures, • Ability to design technical solutions with little direction or guidance, • Engage in the team's organizational processes, such as planning, backlog refinement, and sprint reviews, to ensure effective collaboration and feedback, • Collaborate with product managers and designers to understand requirements and translate them into technical solutions, • Proactively identify and address potential technical issues and bottlenecks Required Qualifications: • 3+ years of software development experience in one or more general-purpose programming languages (Java, Scala, Go, C++, Python)., • Project Management: Support day-to-day project management tasks, including providing project updates and managing timelines., • Problem Solving in Ambiguity: Tackle ambiguous problems with creativity and resourcefulness. Define and iterate on solutions in the face of incomplete information., • Independent Drive: Proactively identify opportunities for improvement and drive initiatives forward with minimal supervision. Bonus Points: • Experience working in the Ads domain, • Experience or interest in the advertising business, and understanding customer needs, • Experience with prompt engineering, machine learning, or data science.

Machine Learning Engineer - Contract (Financial Services, Outside IR35) Duration: 6 months Rate: £650 - £750 per day IR35: Outside Location: UK / Remote We’re seeking an experienced Machine Learning Engineer to support a Financial Services organisation on an initial 6-month contract, working on production-grade ML systems that operate in regulated, high-volume environments. This role is ideal for someone comfortable taking models from research through to deployment, with a strong appreciation for robust engineering, governance, and scalability. Responsibilities • Design, build, and deploy machine learning models into production within a Financial Services environment, • Collaborate closely with Data Scientists, Software Engineers, Risk, and Product teams, • Build and maintain end-to-end ML pipelines (training, validation, inference, monitoring), • Ensure models meet requirements around performance, resilience, and explainability, • Contribute to MLOps best practices, model governance, and technical standards, • Support model monitoring, drift detection, and ongoing optimisation Required Experience • Proven commercial experience as a Machine Learning Engineer, ideally within Financial Services, FinTech, or a regulated environment, • Strong Python skills and hands-on experience with ML libraries (TensorFlow, PyTorch, scikit-learn), • Experience deploying and supporting ML models in production, • Solid understanding of data pipelines, versioning, testing, and software engineering best practices, • Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have • Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases, • Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.), • Docker and Kubernetes experience, • Exposure to model governance, explainability, or regulatory frameworks Contract Details • £650–£750 per day (Outside IR35), • Initial 6-month contract, with strong extension potential, • Immediate or short-notice start preferred

Machine Learning Research Engineer - LLM post-training/mid-training Our team is partnered with a materials discovery stealth venture based in San Francisco and London, led by former Oxford and Isomorphic Labs leaders in AI and experimental science. The team is pioneering large-scale language models that reason, adapt, and accelerate discovery workflows. They are combining experimental validation, synthetic data generation, and scalable infrastructure to push the boundaries of autonomous research. This is a rare chance to be part of the founding team, shaping technical direction and building systems that redefine how science is done. The Role • You will design and implement novel approaches for model adaptation and reasoning, exploring techniques that improve generalization, controllability, and scientific understanding., • This includes mid-training strategies, post-training alignment, and inference-time optimization for complex workflows., • You'll also develop new reasoning paradigms such as retrieval-augmented and tool-augmented approaches and build robust evaluation frameworks for applied scientific contexts. Qualifications: • PhD. or equivalent experience in Computer Science, Machine Learning, or a closely related discipline, • Practical experience working with LLM training pipelines, including pre-training, mid-training, or post-training stages, • Strong grasp of transformer architectures, optimization techniques, and representation learning principles, • Proficiency in Python and familiarity with major ML frameworks such as PyTorch, DeepSpeed, or JAX, • Knowledge of alignment and reasoning strategies, including in-context learning, chain-of-thought, tool integration, or retrieval-augmented approaches, • Ability to combine innovative research thinking with pragmatic engineering to deliver scalable, high-performance systems

AI/ML Engineer (Generative AI / LLMs) Location: Fully Remote (UK-based) The Role We’re hiring a Senior Machine Learning Engineer to lead the design and production of Generative AI and Large Language Model (LLM) applications. This role sits at the heart of an AI-focused engineering team, delivering scalable, production-grade systems using GCP and Google’s AI ecosystem. You’ll be a senior, hands-on engineer owning complex technical problems end to end, with a strong influence over architecture, tooling, and the future direction of LLM-powered products. What You’ll Be Doing • Design, develop, and deploy advanced machine learning and deep learning models into production., • Architect scalable LLMOps pipelines on GCP / Vertex AI, including fine-tuning, vector search, and low-latency inference., • Build end-to-end LLM applications, leveraging RAG (Retrieval-Augmented Generation), agentic workflows, and prompt engineering., • Implement robust evaluation frameworks to monitor LLM quality, hallucinations, token usage, and content safety., • Develop and deploy autonomous or semi-autonomous agents using modern agent frameworks and Google AI tooling., • Collaborate with product and engineering teams to translate complex business requirements into ML-driven solutions., • Monitor, optimise, and continuously improve models in live production environments., • Contribute to the architecture and evolution of the AI platform and supporting data infrastructure., • Stay current with emerging research, tools, and best practices across ML and Generative AI. What We’re Looking For Essential • 5+ years’ experience in machine learning engineering or applied AI roles., • Recent, demonstrable experience with LLMs, Generative AI, and/or RAG-based systems., • Strong Python skills using frameworks such as PyTorch, TensorFlow, Hugging Face, or Google GenAI., • Experience with vector databases and retrieval-based architectures., • Proven experience designing and operating large-scale ML systems in production., • Strong experience with GCP Vertex AI (or equivalent cloud ML platforms)., • Solid software engineering fundamentals: APIs, Docker, CI/CD, and Git., • Strong understanding of deep learning, statistical modelling, and optimisation techniques. Nice to Have • Experience with agentic design patterns (e.g. ReAct, Chain-of-Thought, tool use)., • Familiarity with LLM evaluation frameworks such as RAGAS or TruLens., • Experience fine-tuning large models or working with reinforcement learning techniques., • Background in mathematics, statistics, or theoretical computer science., • Understanding of data governance, bias mitigation, or model interpretability. Why Join • Work on real, production-grade GenAI systems with clear business impact., • High autonomy and ownership in a senior, hands-on engineering role., • Fully remote working with a collaborative, distributed team., • Opportunity to influence architecture and long-term technical direction., • Competitive salary

Machine Learning Engineer Fully Remote - UK based Up to £90,000 + Benefits About the Role 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 systems across the organisation. This position is ideal for someone who is strong technically, resilient, enjoys problem-solving in ambiguous environments, and wants to work closely with both Data Scientists and Engineers. Key Responsibilities • Deploy, productionise, and monitor machine-learning models across the business., • Maintain and improve ML infrastructure to ensure high reliability, scalability, and runtime performance., • Collaborate with data scientists to ensure smooth model handover from prototype to production., • Work alongside data engineers, supporting but not owning data-engineering pipelines., • Build tooling, automation, and monitoring systems to support long-term ML lifecycle management., • Ensuring live models perform consistently in a high-volume environment., • Streamlining the deployment process and improving ML observability., • Supporting automated decision systems across game-economy and player-behaviour use cases. What We’re Looking For • Experience deploying, monitoring, and maintaining ML systems in production environments., • Strong understanding of cloud platforms (GCP preferred) and containerisation/orchestration tools., • Solid coding ability, with experience building reliable and scalable infrastructure., • Excellent problem-solving skills and comfort operating within a fast-moving environment., • No strict requirements on years of experience or academic background If this looks of interest, please apply below.

STAFF ENGINEER LONDON OR MANCHESTER £80,000 - £110000 THE COMPANY This UK-based SaaS scale-up is on a mission to protect advertisers’ digital spend by detecting and blocking invalid or low-value clicks. Using machine learning and real-time behavioural analytics, they help agencies and large advertisers improve ROI and reduce waste—all while being cookieless and privacy-compliant. With £15M in Series A funding and integrations with major ad platforms, this is your chance to lead a high-impact engineering team in a fast-growing, data-driven environment. THE ROLE As a Staff Engineer, you’ll be a technical leader in the Platform Team, focusing on hands-on development, architecture, and mentorship. You’ll work with real ML datasets, Rubix data, and large-scale ad traffic analytics, building features for the Data Science team and launching new ML models. This role is not about people management—it’s about owning technical design, writing high-quality code, and driving innovation. Specifically, you can expect to be involved in the following: • Technical tasks: Improving real-time traffic tracking, deploying new ML models, and optimizing big data pipelines., • Collaboration: Working closely with Product, Data Science, and engineering teams to solve complex problems. SKILLS AND EXPERIENCE The successful Staff Engineer will have the following skills and experience: • 5+ years of Python engineering experience, with a focus on big data, ML, or adtech., • Deep hands-on expertise in Python and an understanding of JavaScript/TypeScript/React (even if you won’t write it daily)., • Experience with large-scale datasets, AWS (Redshift is a bonus), or other cloud platforms (GCP/Azure)., • Familiarity with ad platforms (Meta Marketing API, Google Ads API) is a huge plus., • A computer science/STEM degree is preferred, but strong self-taught candidates will be considered., • Thrives in fast-paced, high-autonomy environments—stable tenure and a proactive mindset are key., • Thrives in fast-paced, high-autonomy environments—stable tenure and a proactive mindset are key. BENEFITS The successful Staff Engineer will receive the following benefits: • £80,000–£110,000 salary (depending on location and experience), • Hybrid working policy: 2 days/week in-office (London/Manchester), • High-impact work: Shape the future of ad fraud detection and optimization., • Fast growth: Join a scale-up with a clear trajectory and work with cutting-edge ML and big data., • Twice-weekly production deployments: See your work make an immediate difference. HOW TO APPLY Please register your interest by sending your resume/CV to Joana Alves via the Apply link on this page.

DevOps Engineer/Systems Admin-Linux-LAMP- Higher Education Our Higher Education client, a global leader in delivering innovative online learning solutions is seeking a DevOps Engineer/Systems Administrator to join their Platform Services team. The DevOps Engineer/Systems Admin postholder will be responsible for standardising how services are built, deployed, and operated, driving automation, repeatability, and robust documentation. You will turn manual tasks into automated pipelines, maintain configuration-as-code (Terraform, Ansible), keep environments well-documented and testable, and collaborate with engineers and developers across Digital Services. This is a hands-on, varied role ideal for someone comfortable in Linux/LAMP environments, who enjoys improving processes and tooling and can help guide others as ways of working evolve. DevOps Engineer/Systems Admin-Linux-LAMP- Higher Education Essential Experience • Hands-on experience with Linux and LAMP operations., • Solid understanding of web technologies., • Experience with configuration-as-code and automation tools., • Familiarity with deployment pipelines, version control, and automated testing., • Exposure to automation tools (Terraform, Ansible, Perl,)., • Experience of deploying software on a Unix-based operating system (Linux, Ubuntu, CentOS, Debian, RHEL,), • Excellent organisational, problem-solving, and communication skills., • Ability to work effectively in teams and motivate colleagues., • Customer-focused mindset, proactively engaging with stakeholders., • Degree in Computer Science or related discipline, or equivalent experience. DevOps Engineer/Systems Admin-Linux-LAMP- Higher Education- Desirable Skills: • Experience using Terraform, Ansible, Perl, or similar for automation., • Proven ability to drive improvements in processes and tooling. Key Responsibilities: • Implement and maintain standardised operating procedures for deployment, configuration, and testing., • Automate manual tasks and deployment processes., • Maintain version-controlled configuration management (Terraform, Ansible, or similar)., • Keep virtual machine and service configurations documented and up to date., • Support automated testing (unit, integration, regression)., • Prepare and maintain technical documentation in line with standards., • Collaborate with engineers, developers, and operational teams to deliver high-quality services., • Provide customer support and record activities in service management tools., • Contribute to continuous improvement of processes and tooling. Full perm role including organisation benefits (Excellent pension) Fully remote with the need to come on site 4 days per year in London.

We are seeking a highly skilled and innovative Agentic AI Engineer to join our team and drive the development and deployment of cutting-edge generative AI solutions within the Microsoft ecosystem. This position is well-suited for candidates with a background in software engineering, data science, or machine learning who excel at developing production-grade AI applications utilizing Microsoft platforms such as M365, Copilot Studio, and Azure AI Foundry, and have at least one year of relevant experience. Strong software development background with proficiency in Python. • Experience with API development using FastAPI, Flask, or Django., • Knowledge of Docker and containerized deployments., • Hands-on experience with LLM models such as OpenAI GPTs, Claude, Gemini, LLaMA, or Mistral., • Expertise in applying prompt engineering techniques to improve model performance and reliability., • Experience in implementing robust evaluation frameworks and Responsible AI (RAI) practices., • Familiarity with Microsoft GenAI/Agentic AI ecosystem such as M365, Copilot Studio and Azure AI Foundry., • Strong understanding of software engineering principles and best practices., • Ability to work in agile environments and collaborate with cross-functional teams. You'll stand out if you also meet any of the following: • You are good at prototyping and experimenting with emerging technologies to assess feasibility and impact., • You have knowledge of vector databases, RAG architectures and their integration into enterprise systems, • You have experience with GenAI development frameworks or orchestration tools such as Semantic Kernel, AutoGen, LangGraph, LangChain, or PromptFlow., • You are familiar with core agent communication protocols, including MCP or A2A., • You are a person who loves to stay current with the latest advancements in GenAI, LLMs, and AI frameworks., • You are Microsoft Certified in Azure AI Engineer Associate or Azure AI Fundamentals. 🛠️ Qualifications • Bachelor's in computer science, data science, or a related field About Avanade: Avanade is the leading provider of innovative digital, cloud, and advisory services, industry solutions, and design-led experiences across the Microsoft ecosystem. The company was founded 25 years ago as a joint venture between Accenture and Microsoft. Back then, digital transformation, automation, and AI weren’t mainstream topics—Microsoft was primarily known for Office 365. But Avanade evolved with the times and is now the number one transformation leader within the Microsoft ecosystem. We have a team of 61,000 professionals in 26 countries. We’re a truly global company with a strong local presence— what I like to call “GLOCAL”: making global impacts on a local level.

We are seeking a highly skilled Data Scientist / Machine Learning Engineer to Join our client for a 3-month initial contract, with an immediate start. The role is Inside IR35 and offers a competitive day rate of £600–£700 DOE. You will be working on a cutting-edge generative AI project, helping to integrate LLMs into complex, human-driven workflows. This is a remote role, though occasional travel to London, Sheffield, or Manchester may be required. The ideal candidate will have experience preparing data for LLMs and GenAI workloads, with strong technical ability in handling unstructured data and converting manual processes into structured, machine-readable formats. Experience working with secure or sensitive datasets and existing active SC clearance is essential. Key responsibilities include analysing and structuring messy datasets, engineering prompts, designing RAG datasets, and evaluating LLM outputs using a variety of metrics and methods. You will need to contribute independently and collaborate with a team of AI and data experts on fast-paced, high-impact projects. Essential Skills & Experience: Demonstrable passion for coding, data science, and open-source technologies. Active SC clearance and experience handling secure or regulated government data. Proven ability to work independently and deliver high-quality solutions with minimal guidance. Excellent Python skills, including both exploratory scripting and production-ready code. Strong experience with exploratory data analysis and generating actionable insights. • Deep understanding of data preparation for large language models, including:, • Prompt engineering techniques., • Working with embeddings and vector databases, • Designing and optimising Retrieval-Augmented Generation (RAG) datasets., • Evaluation methods such as retrieval scoring, LLM-as-a-judge, and hallucination detection. Ability to transform complex, unstructured data into structured formats suitable for LLM input. Strong skills in data validation, anomaly detection, quality assessment, and documenting assumptions. Clear and concise written and verbal communication skills for sharing technical findings. Familiarity with AWS environments is a plus. Flexibility to adapt to changing project requirements and a proactive mindset. This is an excellent opportunity to work at the forefront of AI adoption in the public sector, making a tangible impact on critical government services. If you're passionate about machine learning, LLM technologies, and working with complex data challenges—this role is for you.

Job Title: Junior Python Developer Location: UK Experience: 2–5 years Education: Master's in Science (IT/Computer Science/Engineer) Employment Type: Full-Time UK based candidates only. Looking for candidates with Master's Degree Only What are we looking for? Here at Information Tech Consultants Ltd (ITC) we are providing a unique opportunity for entry level Data Scientists to utilize our skills and expertise to become successful experienced Data Scientist, working with several highly recognized UK and International companies including multiple Fortune 500 and FTSE 100 Clients. You will provide professional consulting services working onsite for start-ups, medium and large sized companies. You will be working on large complex projects so you should be comfortable dealing with demanding stakeholders and providing time driven results. Innovation, Collaboration and Passion are the three core values that we look for in all our personnel. Who are we looking for: Applicants must be experienced working with the following: Essential Skills : · Machine Learning · SQL Server · Knowledge of Data analysis/Mining/Warehousing · Statistical Analysis · Linear Regression · Database Desired Skills : Experience with any of the following: · Python · Hadoop · R · Java/C++ Qualifications and Attitude: • Master’s (Required) in Data Science, Mathematics, Statistics, Economics, IT related fields and 2- 5 years of experience in Information Technology., • You should be entitled to work in the UK with legal work authorization status., • Must be willing to travel within the UK as per project/client requirements., • Excellent communication skills and teamwork skills.

Lead AI Engineer UK - Remote Portugal - Remote There are NO limits to your career: come shape the future and be part of a truly unique global culture at OutSystems! About This Role As a Lead AI Engineer in our Artificial Intelligence Group, you will be working on our Mentor line of products. Your main role will be to design and bring to life AI products and features applied to the problem of Enterprise Vibe Coding (vibe coding for “serious software”), covering the full Software Development Lifecycle. To do this, you will work alongside the rest of the group to push the state-of-the-art and build the next generation of AI-native developer tools. The sky's the limit and you’ll help us get there. Key Responsibilities • Stay up to date with the state-of-the-art in Artificial Intelligence and Machine Learning, and apply it to the problem of Enterprise Vibe Coding;, • Make use of techniques such as In-Context Learning (Prompt Engineering & Retrieval Augmented Generation) and Tool Calling to guide Agents to perform as intended;, • Work in an “eval-driven development” methodology, applying evaluation techniques such as model-based critiques, semantic accuracy benchmarks, and tool-use success rates as the basis for developing robust, reliable, and production-ready LLM Agents;, • Work across the entire lifecycle of product development, from ideation, through prototyping and designing to implementation and evaluation;, • Collaborate with cross-functional teams to ship and iterate on production-grade AI products;, • Own the end-to-end development of AI features of a customer-facing product, ensuring software quality, observability and scalability;, • Be a thought leader in the space, advancing the field by putting the most forward ideas into practice in a large-scale project. Qualifications / What You Need To Succeed • Ph.D. or MSc degree in Computer Science, Electrical Engineering, Artificial Intelligence, Machine Learning, or related technical fields is highly valued., • 7+ years of work experience in Machine Learning and AI Engineering roles, preferably building with LLMs and/or Agentic Systems, from development to production., • Hands-on experience with LLM frameworks (e.g. langchain, langgraph, llamaindex, langsmith), AI platforms (e.g. Databricks, mlflow) and containerization solutions (e.g. Docker) is valued., • Strong software engineering fundamentals and proficiency in Python are a must., • Be creative, ambitious and curious. Be resourceful and innovative. The Longer Story: OutSystems enables enterprise teams to build AI-powered applications and agents that reduce manual work, streamline internal operations, and accelerate impact. A proven low-code foundation combined with agentic AI and AI app generation capabilities empowers teams to move up to 10x faster with the assurance of security, scalability, and governance built in. As the future becomes agentic, our customers need us now more than ever. AI has opened the door to extraordinary possibilities—but inside the enterprise, things are moving fast and feeling chaotic. Some early adopters are making progress in production, but for many, AI tools are sprawling without governance, data isn’t ready, and talent isn’t there yet. Enterprises are still drowning in application backlogs and struggling with legacy systems. But with the right platform, AI doesn’t have to add to the chaos. It can become the breakthrough that brings clarity—and drives real, enterprise-wide impact. At OutSystems, we’ve built that platform, providing the tools necessary for enterprises to overcome these hurdles. We are looking for passionate, talented, and motivated people to join us in helping our customers build, deploy, and scale apps and agents—fast, helping them accelerate innovation while enabling secure, governed human-AI collaboration. OutSystems is a truly global company, with more than 850,000 developer community members, 1,700 employees, more than 500 partners, and thousands of active customers in over 75 countries and across 21 industries. Founded in 2001, OutSystems has offices in the United States, United Kingdom, the Netherlands, Portugal, Germany, the UAE, Japan, Hong Kong, Malaysia, Australia, India, and Singapore, and of course has a thriving, worldwide community of remote employees. Amongst our customers are some of the world's most recognizable brands across diverse industries—brands like Toyota, Heineken, Bosch, KeyBank, and UCLA. These customers are the reason we have a 4.6 star rating on G2. Their success is ours, and their stories demonstrate tangible ROI and transformational impact. We are a 9x Gartner Magic Quadrant Leader for Low-Code Application Platforms and a multi-year leader in the Forrester Wave. We’re recognized not just as leaders but as visionaries with a strong ability to execute, now extending our leadership into the AI and agentic application development arena. Working at OutSystems Our goal is to ensure that OutSystems is a place for bright, happy, and motivated people who share a common purpose and take pride in doing excellent work to pursue our vision of providing the AI-powered low-code development platform enterprise leaders trust to build, secure, and evolve their business applications, agents, and core systems. Our culture is focused on our core values of trust, customer success, innovation, and alignment. Our team members operate with transparency, integrity, and accountability, define success through the lens of the outcomes we deliver for our customers, push the boundaries with excellence, and work together toward our shared vision to deliver on what matters most. What do we have to offer you? • A company that is always growing, changing, and innovating. We challenge each other to innovate in our products, in our team, and how we use our own technology. And we give our teams space to be proactive and creative., • Real career opportunities. We care about growth and development. Yes, vertical career progression is a possibility, but it's not the only one. From lateral moves and joining different teams to mastering specialized skills, we support your growth no matter what your goals are., • Work colleagues that are as smart, hard-working, and driven as you. We act as one global OutSystems team, taking ownership and working together toward a shared vision., • Disrupting the status quo is in our DNA. In fact, it’s why our company exists., • We ask “why” a lot. It helps us connect our individual work to the bigger picture and sometimes even uncover a better way. Are you ready for the next step in your career? Then we’d love to hear from you! OutSystems nurtures an inclusive culture of diversity, where everyone feels empowered to be their authentic self and perform at their best. A company that embraces the creativity and innovation that comes through diverse perspectives. We are committed to creating a team that reflects society through inclusive programs and initiatives and are proud to be an equal opportunity employer. All qualified applicants receive equal consideration regardless of race, place of origin, color, age, marital status, religion, sex, sexual orientation, gender expression or identity, protected veteran status, disability status or any other status protected by law.

Team: Backend Location: UK Remote Employment Type: Full-time and Permanent Remuneration (UK – Remote): £81–108k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We are backed by prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend services and infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have background in Machine Learning. This is an applied role, and we are looking to hire a software engineer with experience in cloud computing and distributed systems. In this role, you will: • Design and develop highly-scalable, fault tolerant and event driven systems that directly power our core products., • Lead projects from inception to launch and beyond, having a high degree of autonomy and ownership over your work., • Work closely with the founding team and contribute towards best practices, standards, and culture of the company., • Mentor colleagues and lead by example, raising the bar for the whole company., • Help hire future colleagues and shape the team you want to work with. Our tech stack: • We use and leverage AWS as much as possible and manage it with Terraform., • Services are written in C# (.NET 9) and deployed to ECS or Lambda via GitHub Actions., • We use Postgres, SNS/SQS and Redis., • We have good end-to-end test coverage and are confident in our deployments. What we are looking for: • Back-end development: 5+ years of industry experience building reliable and scalable back-end systems with an object-oriented language., • Cloud-native technologies: Experience in architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana)., • Strong ownership mindset: You naturally take responsibility for outcomes, not just tasks, and care deeply about the quality of what you ship., • Product-oriented thinking: You think beyond implementation details, proactively suggesting improvements that balance customer value with business impact., • Leadership: A track record of leading complex projects and influencing technical direction., • Problem solving: Strong analytical problem-solving skills and attention to detail. You have the ability to break down complex projects into actionable tasks., • Collaboration and communication: Excellent interpersonal and communication skills, with technical and non-technical stakeholders. We would like to acknowledge that almost no candidate checks every box – and that is perfectly fine. If you are passionate about solving complex challenges and open to learning new technologies, we would love to hear from you. How we work: • We are a small, early-stage team with big ambitions. We move quickly, care deeply about what we build, and take pride in doing things well., • This is a high-ownership environment where people who are proactive, curious, and motivated by impact tend to thrive. Nice to have: • Machine Learning: Experience in generative models, LLMs, multi-modal models and Deep Learning more generally., • Open-source: Contributions to and experience in open-source projects., • Startup experience: Experience in an early-stage startup environment. Why join us? • Work in an environment conducting cutting-edge research in AI., • Competitive salary, equity and benefits package., • 28 days + public holidays allowance., • Opportunities for professional growth and progression with your career., • Work on challenging engineering problems that have a real impact on the industry., • Work with high-profile customers and technology partners.

About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L Role Overview: Turing is seeking a hands-on Machine Learning Senior Staff Engineer to lead cross-functional teams building and deploying cutting-edge LLM and ML systems. In this role, you’ll drive the full lifecycle of AI development — from research and large-scale model training to production deployment — while mentoring top engineers and collaborating closely with research and infrastructure leaders. You’ll combine technical depth in deep learning and MLOps with leadership in execution and strategy, ensuring that Turing’s AI initiatives deliver reliable, high-performance systems that translate research breakthroughs into measurable business impact. This position is ideal for leaders who are still comfortable coding, optimizing large-scale training pipelines, building collab notebooks that break the models and navigating the intersection of research, engineering, and product delivery. Roles & Responsibilities: • Lead and mentor a cross-functional team of ML engineers, data scientists, and MLOps professionals., • Oversee the full lifecycle of LLM and ML projects — from data collection to training, evaluation, and deployment., • Collaborate with Research, Product, and Infrastructure teams to define goals, milestones, and success metrics., • Provide technical direction on large-scale model training, fine-tuning, and distributed systems design., • Implement best practices in MLOps, model governance, experiment tracking, and CI/CD for ML., • Manage compute resources, budgets, and ensure compliance with data security and responsible AI standards., • Communicate progress, risks, and results to stakeholders and executives effectively., • Overlap of 6 hours with PST time zone is mandatory. Required Skills & Qualifications: • Strong background in Machine Learning, NLP, and modern deep learning architectures (Transformers, LLMs)., • Hands-on experience with frameworks such as PyTorch, TensorFlow, Hugging Face, or DeepSpeed, • Hands-on experience in Docker for Production deployment., • Proven experience managing teams delivering ML/LLM models in production environments., • Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure)., • Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines., • Excellent leadership, communication, and cross-functional collaboration skills., • Bachelor’s or Master’s in Computer Science, Engineering, or related field (PhD preferred). Nice to Have: • Experience building Agentic applications, • Experience training or fine-tuning foundation models., • Contributions to open-source ML or LLM frameworks., • Understanding of Responsible AI, bias mitigation, and model interpretability. Perks of Freelancing With Turing: • Work in a fully remote environment, • Opportunity to work on cutting-edge AI projects with leading LLM companies Offer Details: • Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST, • Employment type: Contractor assignment (no medical/paid leave), • Duration of contract: 2 months; [expected start date is next week], • Timezone : US PST ( 6 hours overlap required 12pm PST to 6pm PST) Evaluation Process (approximately 120 mins): • Two rounds of interviews (60 min technical + 60 min technical & cultural discussion) After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at ___, and earn money from your network. If you are interested in a software engineer role, please ___.

New Permanent Opportunity for an Enhanced DV Cleared Data Scientist / AI Engineer in Central London. • Must have active enhanced DV Clearance, • Junior to Lead levels available, • £45k to £95k DoE plus 15% clearance bonus, • Must be willing to be full-time on-site in Central London, • Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client to work on a portfolio of public and private sector projects. Our client is a global leader in technology, consulting, and engineering services at the forefront of innovation to evolve the world of digital, cloud, and platforms. You’ll experience excellent career progression opportunities to develop your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role involves working closely with clients to identify challenges, define solutions, communicate their value clearly, and lead teams to successful delivery. There are also opportunities to publish whitepapers and represent the organisation at conferences, all within an inclusive and diverse working environment. Key Skills and Requirements • Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis., • Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams to deliver robust outcomes., • Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors., • Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform., • Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. To be Considered: Please either apply by clicking online or emailing me directly at . For further information please call me on 0161 416 6800 or 07719065951 - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Science / Data Scientist / AI Engineer / AI / Machine Learning / ML / NLP / GenAI / Stakeholder Engagement / Customer Engagement / AWS / Azure / Cloud / Docker / Kubernetes / CI/CD / Deep Learning

GPU Accelerated Bioinformatics Engineer Location: Central London, UK We are working with a well-funded, highly innovative AI-driven biotechnology organisation operating at the intersection of computational science and human biology. The team generates its own proprietary data, develops general-purpose biological foundation models, and translates scientific discovery into meaningful research and clinical outcomes. The organisation’s first mission is to tackle the brain - to achieve a deep mechanistic understanding, protect it from neurological disease, and enhance it in health. Its growing, interdisciplinary team of AI researchers, experimental scientists, clinicians, and operators is distributed across London, San Francisco, and Dubai. The team is now seeking a GPU-accelerated bioinformatics specialist to design and own scalable production pipelines for multi-omic data processing, enabling rapid AI model development from hypothesis to patent-ready outcomes. The Role • Design and implement GPU-native bioinformatics pipelines using Flyte and/or Nextflow for large-scale multi-omics data processing (1,000+ samples)., • Optimise performance and cost efficiency, applying GPU acceleration strategically where it delivers the greatest impact., • Collaborate closely with experimental and machine-learning teams to validate and refine computational results, ensuring data processing aligns with downstream model requirements., • Design, deploy, and maintain cloud-based infrastructure to support scalable, production-grade workflows., • Develop and manage targeted external research collaborations with academic and industrial partners. Essential Experience • Strong biological intuition combined with advanced computational expertise, enabling effective reasoning across complex biological systems., • Demonstrated experience analysing multi-omic datasets in either research or applied environments., • Strong programming proficiency (e.g. Python, R), with experience building robust, reproducible bioinformatics workflows., • Familiarity with cloud computing platforms and large-scale data processing, supporting scalable and efficient analysis., • A collaborative, cross-functional working style, with the ability to clearly communicate complex technical results to diverse audiences., • A strong academic or industrial research background, with evidence of high-quality scientific output. Location This role is based in Central London, UK with on-site collaboration expected. Why Consider This Opportunity? This position offers the chance to work within a mission-driven organisation at the forefront of AI-enabled biology, contributing directly to research with the potential to reshape disease understanding and therapeutic discovery. The environment is intellectually rigorous, fast-paced, and designed for individuals who want to have a tangible scientific impact. The company offers a competitive salary, potential equity package and other company benefits.

BettingJobs are working with an AI-powered B2B marketing company based in London. They are looking for a Data Engineer to join their team. Responsibilities: • Analyse raw and messy data, • Calibrate, deploy and monitor machine learning models, • Deploy, monitor and manage data pipelines (daily batch jobs as well as real time streaming data), • Visualise results, • Communicate technical problems and solutions to non-technical team members, • Optimise the product by continuously tweaking how automated decisions are being made Requirements: • Proven experience in applying data analysis and machine learning to real-world problems, • Proven experience managing production data pipelines, • Understanding of predictive modelling, machine-learning, clustering and classification techniques, • Fluency in Python and SQL Nice to have: • Experience using Databricks, • Experience using Microsoft Azure, • Experience with RabbitMQ and Docker, • Experience using dbt

About the Opportunity Fortice are recruiting on behalf of a fast-growing AI and data engineering scale-up operating on complex, mission-critical programmes for government and enterprise clients. The business sits at the intersection of data engineering, advanced analytics, and applied AI, delivering solutions that support real operational decision-making in high-stakes environments. The company has recently entered its next phase of growth following a strategic acquisition by a global consulting and technology partner, bringing scale and long-term programme stability while retaining an engineering-led, delivery-focused culture. The Role Forward Deployed Data Engineer (security cleared) We are hiring Forward Deployed Data Engineers across multiple levels (Junior through Senior Manager). This is a hands-on, client-embedded engineering role. You will work close to operational users, helping them solve messy, ambiguous problems by designing and building robust data pipelines, workflows, and decision-support tooling. You are not just “building data platforms” in isolation; you are deploying engineering capability directly into client environments and adapting solutions to real constraints. What You’ll Do • Buddy up with clients: Work directly alongside stakeholders to understand operational challenges and translate them into technical solutions., • Design under ambiguity: Break down poorly defined problem spaces and design pragmatic, scalable architectures., • Engineer data pipelines: Build and maintain ETL pipelines that support operational and analytical use cases., • Develop workflows: Create decision-support tools and operational workflows that real users rely on., • Apply AI where it counts: Collaborate on deploying AI and ML models that solve real problems, not experiments., • Write production code: Deliver clean, reliable, maintainable software across the stack., • Raise standards: Mentor peers, contribute to internal best practice, and help set the engineering bar., • Build trust: Earn credibility with clients through delivery, judgment, and consistency. What We’re Looking For • Strong experience in Python, SQL, and TypeScript., • Solid grounding in data engineering, ETL pipelines, and workflow orchestration., • Experience with enterprise data platforms used in operational settings (Palantir experience is a strong plus, but not mandatory)., • Comfort operating in complex, high-pressure client environments., • Interest in applied AI / machine learning with a practical mindset., • Clear communicator who can bridge technical and non-technical audiences., • Curious, adaptable, and delivery-focused. Why This Role • Work on mission-critical programmes with real operational impact., • Be trusted to operate close to the problem, not shielded from it., • Build rare experience as a forward-deployed engineer, not a back-office implementer., • Access large-scale programmes and long-term career progression through a globally backed organisation., • Join a culture that values engineering judgement, accountability, and hard work over hype.

Youll apply your expertise in software engineering and machine learning to transform manual workflows into automated systems powered by AI. Youll be great for this role if you: Have strong Python and machine learning engineering skills, with experience applying AI to real-world problems. Machine Lea

As a Machine Learning Engineer, you will play a key role in designing, developing, and implementing machine learning models and algorithms tailored to address specific national security requirements.This position requires expertise in machine learning, data analysis, and a commitment to pushing the

NLP) Experience weighted more towards classic machine learning than AI Engineering Strong knowledge in LLMs, NLP and Machine Learning / AI Excellent academics throughout including a minimum of a 2. NLP field along with some computer vision Make suggestions based on the feasibility of research to hel

Shape the Future of AI & Data with Us.At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world‑class businesses.We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud.By partnering with us, clients

A leading technology and media company is seeking a Lead Machine Learning Engineer in Shadwell to enhance their personalisation systems.

A leading media company in the United Kingdom is looking for a highly skilled Lead Machine Learning Engineer. The ideal candidate has strong expertise in the machine learning lifecycle and advanced skills in Python and ML frameworks.

Design, train, and optimize machine learning models for predictive analytics, NLP, computer vision, or recommendation systems. You will work closely with data scientists, software engineers, and product teams to transform cutting-edge research into production-ready systems. Work cross-functionally w

Deploying, monitoring and maintaining machine learning models in live environments. They combine deep technical expertise with real-world delivery to design, build and deploy machine learning solutions that create tangible business impact. As a Machine Learning Engineer, you’ll work closely wi

As a Senior Machine Learning Engineer at On, you'll play a critical role in the full lifecycle of our machine learning models. Oversee the transition to a real-time streaming architecture for our machine learning applications, ensuring efficient data ingestion, feature engineering, and model serving

Get notified about new Machine Learning Engineer jobs in. Proven track record as a Machine Learning Scientist delivering models into production. Learning & Growth: Conference and learning budgets, mentorship, and upskilling programmes.

Machine Learning Research Engineer to help build and deliver a platform that can automatically create Virtual Agents for operational processes currently undertaken manually using browser-based UIs. Can collaborate with other engineers to understand and solve challenges. Have strong Python and engine

London, UK (Hybrid - 2 days per week in office).As an MLOps Engineer, you will support machine learning products from inception, working across the full data ecosystem.This includes developing application-specific data pipelines, building CI/CD pipelines that automate ML model training and deploymen

A leading Ed-Tech company located in the City of London is seeking a Staff ML & Data Engineer to build and refine its machine learning platform architecture. The role emphasizes collaboration with cross-functional teams to enable seamless transitions from research to production, focusing on cloud-na

A leading gaming technology company in the UK is seeking a skilled machine learning engineer to develop scalable machine learning models.This role involves creating algorithms for diverse applications in game development using computer vision and natural language processing.Candidates should hold a

You’ll work across the backend stack, real-time data flows and APIs on a backend designed for scale & flexibility. We’re looking for an experienced Backend Engineer to work closely with product, design, mobile, and machine learning team members to design & build experiences that