Machine learning engineer jobs in CheltenhamCrear alertas

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. Work alongside data engin

Machine Learning Engineer | Early Stage Deep Tech Start Up | London I am partnered with an early stage, London based start up that is building an AI native intelligence layer for private market investing. The platform transforms fragmented documents, deal histories, and proprietary investment data into structured, searchable intelligence for private equity, venture capital, and private credit teams. They are hiring a Founding Machine Learning Engineer to join at early stage, with real ownership over both the core technology and the product direction. This role suits someone with a strong academic background from a leading university, alongside clear evidence of success in high ownership projects: Responsibilities • Design and build machine learning models for document understanding, knowledge graphs, and data extraction, • Develop generative AI systems for research, summarisation, and investment memo drafting, • Solve complex problems involving unstructured and proprietary private company data, • Contribute to technical architecture and applied research direction, • Work closely with the founders on product decisions and feature delivery On offer • The opportunity to build a deep tech AI model and conduct original, applied research, • Founding engineer responsibility with high visibility and influence, • Hybrid working model in London, • Salary up to £50k plus meaningful equity, • Genuine ownership over what is built from day one If you meet the above criteria and want to help build foundational AI technology within a small, ambitious team, please get in touch.

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

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 turing.com/referrals, and earn money from your network. If you are interested in a software engineer role, please apply here.

Head of Sales – Chemical Process Development £100k+ base salary + OTE + Bens The chemical industry underpins everything from life-saving medicines to everyday materials, yet large-scale process development is still slow, costly and heavily reliant on trial and error. Our client is changing things - they’re building an AI-powered platform to radically improve how chemical processes are developed and scaled. Commercial momentum is building fast and they’re now looking for their first Head of Sales. In this consultative sales position, you will build technically led, long-term partnerships with global pharma, agrochemical and specialty chemical organisations. Initially, your key responsibilities will include: • Building and executing account-based sales strategy with tier-1 chemical and pharma organisations, • Work closely with the CEO and Product team to understand the product, shape customer discovery and define pricing, • Shorten enterprise sales cycles and build sustained momentum across target sectors, • Establish a repeatable, measurable sales pipeline, • Hire and mentor the first commercial team member The company are seeking a technically fluent business developer who can translate scientific innovation into scalable business growth. You will bring: • Strong background in chemical/process engineering – confident discussing challenges and solutions in this space, • 5+ years commercial (Sales, Business development or Account Management) experience, • A track record in complex, multi-stakeholder deals Based in London, the role will require on-site working for the first three months to build a deep understanding of the product. After this period, a hybrid or remote working arrangement is available. In return the company are offering a senior, high-impact role with equity where you will work closely with world-class scientists and founders to shape how a new category of technology is commercialised. Key words: VRS9347DJ, Sales, Business Development, commercial, Ai, software, machine learning, digital chemistry, or automation, chemical engineering, process engineering. chemistry, engineer, London, south east, hybrid. If you’ve ever looked at industrial chemistry and thought “there must be a better way” then we want to hear from you - contact David at VRS

Senior Machine Learning Engineer Up to 115k Xcede is working in partnership with Faculty, one of the UK’s most established applied AI companies, delivering large-scale machine learning systems for organisations operating in highly complex, data-intensive environments. This is a senior engineering role for someone who wants to take ownership of end-to-end AI delivery. You’ll lead the design and implementation of advanced machine learning platforms, taking models from research through to live deployment. Working across multiple client programmes, you’ll shape technical direction, influence architectural decisions, and act as a senior technical voice on mission-critical AI initiatives. You’ll operate at the intersection of engineering, data science, and business delivery — helping organisations turn machine learning into reliable, scalable, and commercially valuable systems. Requirements: • Extensive experience building, deploying, and operating machine learning platforms in production, • Strong background translating data science work into reliable, real-world systems, • Deep hands-on experience with modern ML frameworks and tooling, • Expert-level Python engineering and strong software design skills, • Proven experience building cloud-based platforms e.g. Azure, • Strong background in containerised environments using Docker and Kubernetes, • Excellent understanding of statistical modelling, machine learning theory, and data-driven decision making, • Experience leading technical projects and mentoring engineers

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.

Machine Learning Engineer Location - Remote (UK) Salary - £80,000 I am partnering with a product-led MarTech company building an AI-driven platform that helps teams make better decisions about digital content and performance. The platform applies machine learning to real-world data to analyse and improve how content performs at scale, moving decision-making away from guesswork and towards measurable insight. AI is a core part of the product and is already embedded in live, customer-facing workflows, running on a cloud-native stack with strong use of Google Cloud Platform (GCP). What You’ll Be Doing • Lead the development and deployment of machine learning models used in a live SaaS product, • Own models end-to-end from experimentation through production deployment, monitoring, and iteration, • Work closely with product, engineering, and non-technical stakeholders to embed AI into real workflows, • Improve the scalability, reliability, and performance of existing ML systems, • Review code and architecture, setting a high engineering standard, • Analyse data and run ad-hoc studies to generate actionable insights into marketing effectiveness What They’re Looking For • Strong experience as a Machine Learning Engineer / AI Engineer in a product-led environment, • Advanced Python skills and hands-on experience with PyTorch, TensorFlow, or similar ML libraries, • Experience deploying and maintaining ML models in production, • Solid software engineering fundamentals (algorithms, data structures, clean code), • Comfortable working with Docker and containerised systems, • Experience collaborating cross-functionally and owning delivery, not just models, • A mindset focused on impact, curiosity, and continuous improvement

Job Title: AI/ML Research Engineer (London, UK) Location: Must be based London, UK Employment Type: Permanent Work Model: Hybrid (London) Introduction: Our client (international) is a collection of engineers and designers who want the world to connect beautifully. Their team first came together to build one of the world's first Massive MIMO 5G networks from the first base station to the first 5G customer. Today, they design and engineer a range of 5G smart routers connecting homes and businesses around the world, with their devices currently serving over a million customers globally. They have a deep understanding of mobile networks and the challenges customers face every day and they're putting this knowledge to work, engineering and designing better ways to connect. They are establishing a new AI/ML engineering team in London to extend these capabilities. This is a foundational role, you will be among the first hires, helping to shape the technical direction, culture, and practices of a function at the forefront of wireless technology innovation. We are seeking individuals with a deep, first-principles understanding of machine learning, not simply experience integrating APIs or applying pre-built models, but genuine expertise in how and why these systems work. The ideal candidate will bring experience from research or academic environments and can apply that rigour to delivering production-ready solutions. Role Overview: This is an opportunity to help build something from the ground up. As part of a newly formed AI/ML team, you will play a central role in establishing how our client approaches machine learning, from research methodology to engineering practices to team culture. This is not a role where you will inherit existing systems; you will be creating them. The role requires expertise that spans both research and engineering. The ideal candidate will have invested significant time developing a thorough understanding of machine learning fundamentals, whether through academic study, industry research, or rigorous self-directed learning, and will have demonstrated experience applying that knowledge to build production systems. We are looking for practitioners who understand the mechanics beneath the abstractions, not those whose experience is limited to high-level tooling and prepackaged solutions. The role encompasses the full spectrum of ML development: researching and prototyping novel approaches where existing methods are insufficient, and engineering robust solutions that operate reliably at scale. You will work with telecommunications data including time series, network telemetry, and sensor data to address complex operational challenges in wireless technology. What You'll Do: • Develop ML models for telecoms and hardware applications: anomaly detection, predictive maintenance, demand forecasting, network optimisation, signal processing, • Research novel approaches when existing methods fall short, read papers, run experiments, iterate, • Implement algorithms from scratch when needed; understand what's happening under the hood, • Take models from research prototype through to production deployment, • Work with large-scale time series, sensor data, and network telemetry, • Collaborate with hardware and network engineers to understand problems deeply, • Design rigorous experiments and evaluation frameworks, • Contribute to technical direction and help shape how we build ML here What We're Looking For: First-Principles Understanding Candidates must demonstrate substantive depth in ML fundamentals, including the ability to: • Explain the mechanics and rationale behind core algorithms, gradient descent, backpropagation,, • attention mechanisms, regularisation techniques, • Understand the mathematical foundations underpinning these concepts, including linear algebra, calculus, and probability theory, • Reason about model behaviour from first principles during analysis and debugging, • Read research papers and implement key concepts independently, • Evaluate when different approaches are appropriate and articulate associated tradeoffs The path to this understanding is less important than the understanding itself. Formal academic training, industry research experience, and rigorous self-directed study are all valid routes.

About the role We are looking for an AI Interaction Engineer to lead the development of expressive, emotionally legible robot interactions. This role sits at the intersection of AI, animation, and robotics and focuses on motion, expression, and behavior generation rather than classical task planning or control. This is a high-impact role with significant technical ownership. You will shape both how interactions are built and what expressive capabilities are possible, translating cutting-edge research into robust, real-world systems. What you’ll work on • Lead the design and implementation of AI-based motion and expression generation for robots, • Define interaction architectures that combine motion, timing, and emotional cues, • Translate animation and virtual human research into systems that respect robotic constraints, • Drive technical exploration and prototyping in expressive interaction and embodied AI, • Partner closely with engineers, designers, roboticists, and product engineers to shape interaction quality, • Evaluate, adapt, and integrate state-of-the-art research into production pipelines, • Help set technical direction and best practices for AI-driven interaction work Required experience • Strong experience working with AI / machine learning systems (research and/or applied), • Deep experience in one or more of the following: Human motion generation, Character animation or character control, Emotion recognition or affective computing, Human pose estimation, Virtual humans or embodied AI, • Strong proficiency in Python and modern ML frameworks (e.g. PyTorch), • Proven ability to translate research ideas into working systems, • Track record of technical ownership and independent problem-solving, • Experience working with robots or physically embodied systems, • Background in computer graphics or animation pipelines, • Publications, patents, or open-source contributions in relevant areas, • Experience mentoring other engineers or influencing technical direction, • Familiarity with real-time or production AI systems Education • Master’s or PhD in AI, Computer Science, Robotics, Computer Graphics, or a related field preferred, However strong candidates with proven skill sets are welcome regardless of educational background Why this role matters Interaction quality is a core differentiator for our product. This role directly shapes how users perceive, understand, and emotionally connect with our robots. As a senior hire, you will have outsized influence on both the technical foundations and the expressive capabilities of the Interaction Team. About Engineered Arts Engineered Arts is the leading manufacturer of full-size humanoid robots used for entertainment, education and communication. With 20 years of hardware and software development, our robots have been sold in over 30 countries worldwide with customers such as NASA, PwC, Meta and many more. Our Ameca robot is well known as ‘the face of AI’ and a social media viral success, taking advantage of the generative AI craze. Along with our ultra-realistic Mesmer range of animated figures our robots continue to surprise and excite visitors at museums, theme parks, visitor attractions and trade shows as well as aid leading universities with AI and robotics research. Our robots are poised to break into the future mega-expansion service robot segment, with applications such as front of house, receptions, check-in desks, information points and PoS. We are also exploring how our humanoid robot technology can disrupt other robotics sectors such as the growing cobot sub-segment of the industrial robotics market. We are a team of dedicated engineers and creatives striving to develop the very best experiences for our customers. Our internal motto is ‘Be Wow’, everything we do is fun, entertaining or surprising to encounter. We always push the boundaries of what is possible in humanoid robotics, researching and developing new systems and techniques to further their appeal. We explore and challenge the human perception of robots as well as the fear and discomfort and the excitement and joy life-like mechanical humanoids present. At Engineered Arts, innovation is at the core of everything we do — and we believe true innovation only happens when diverse minds come together. We are committed to building a workplace where people of all backgrounds, identities, and perspectives feel welcome, supported, and empowered to contribute. Whether you’re an engineer, developer, or creative thinker, we value what makes you unique. We actively promote inclusion across our hiring, design, and development practices, and we’re always looking for new ways to reflect the world around us — in our team, our robots, and our ideas. Because building the future means including everyone in it.” We are committed to equal opportunity in employment and comply with all applicable non-discrimination and equal employment laws in the regions where we operate.

About the role I’m working with a well-funded early-stage BioAI startup applying machine learning to a hard, underexplored biological problem with real implications for climate resilience and food security. They’re building an ML-first platform where research doesn’t sit in isolation. Models are expected to ship, be used by scientists, and influence real experimental decisions. They’re looking for an ML Engineer who: • Has a strong grounding in modern ML (generative models, representation learning, geometric deep learning, etc.), • Has expertise in building and managing ML infrastructure for large-scale training, inference, and deployment, • Has worked with biological or molecular data in some form… proteins, molecules, structure, interfaces, • Can work closely with chemists and biologists, and actually make the models useful, • Has experience delivering in a fast-paced environment You don’t need prior experience in the exact problem space. Almost nobody has. Adjacent domains and an engineering mindset matter more than perfect overlap. Fully remote (UK), with 1/4ly London meetups, long runway, real scientific ownership. Salary: £90,000 - £120,000 + generous equity

Role: Machine Learning Engineer (Robotics) About AssetCool AssetCool is addressing one of the most pressing challenges in the global energy transition - grid congestion. By combining cutting-edge grid robotics with breakthrough materials science, our technology transforms the physical performance of the grid in situ, increasing current-carrying capacity by up to 30%, at just 5% of the cost and in a tenth of the time compared to conventional approaches. In addition to enhancing capacity, our solutions tackle other grid constraints including corrosion, electrical noise, and enable the collection of high-value data to build accurate, predictive digital twins. This technology is proving transformative and is being adopted at an accelerating pace, with deployments across Canada, Slovenia, the UK, and the USA, and a strong global deployment pipeline. AssetCool is one of the fastest growing start-ups in Europe, with plans to more than double, again, in size over the next six months. Backed by international investors from the US, Europe, and the UK, we are proud to be one of the most innovation-focused companies in the UK energy sector. We’re looking for ambitious, mission-driven individuals who are excited to work hard alongside their colleagues to build and deploy world-leading technology that tackles some of the planet’s most urgent infrastructure challenges. Role Overview We are looking for a Robotics Machine Learning Engineer to join our software team and help deliver ambitious ML solutions that power real-world robotic inspection and automation. This is a hands-on, applied role where you’ll build multi-modal machine learning models that operate in challenging outdoor environments, helping take ideas from prototype to field-tested deployment. You’ll be involved in the full ML lifecycle: building datasets, training and evaluating modern vision models, running experiments, and supporting deployment to edge devices. Demonstrable experience is essential - this could be through a previous role, research, open-source contributions, or strong personal/university-level projects. Candidates at all levels are encouraged to apply. Key Responsibilities • Develop and improve machine learning pipelines for robotic inspection tasks, including: segmentation; detection; classification; object tracking., • Build, train, and evaluate deep learning models using modern architectures such as:, • YOLO model family architectures for object detection and image segmentation., • Transformer-based object detection models (e.g., DETR / RT-DETR style approaches)., • Segmentation models such as Segment Anything Model (SAM), • Multimodal Vision Language Models (e.g. PaliGemma, Qwen2.5-VL, SmolVLM)., • Work with real-world industrial datasets (variable lighting, clutter, motion blur, weather effects) and help define clear annotation and labelling standards., • Support annotation workflows and dataset management using platforms such as Roboflow., • Prototype solutions quickly, moving from idea → training → evaluation using clear metrics (IoU, mAP, precision/recall, F1, etc.)., • Train ML systems using both real and synthetic datasets, including:, • generating synthetic training data for rare events and edge cases., • applying domain randomisation techniques to generalise training outcomes., • evaluating sim-to-real transfer performance., • Perform statistical and numerical analysis to evaluate model performance, failure modes, and robustness in field conditions., • Collaborate with robotics, embedded, and software teams to ensure ML systems are testable, deployable, and reliable on real hardware., • Communicate results clearly through short technical write-ups, sprint demos, and experiment logs. Required Skills & Experience • Strong Python programming skills, including experience with ML training and data workflows., • Experience with Jupyter Notebooks., • Demonstrable hands-on experience developing and training vision models., • Architectural fluency and a deep understanding of state-of-the-art architectures, including transformers and CNNs with the ability to select and adapt models based on specific constraints and applications., • Experience with deep learning frameworks such as PyTorch (preferred) or TensorFlow., • Understanding of key ML/CV concepts:, • dataset splits, overfitting, evaluation metrics, augmentation, and performance trade-offs., • Comfortable working with image processing and common computer vision libraries (e.g., OpenCV, NumPy, Pillow, SciPy, Matplotlib)., • Good engineering habits: Git-based workflows, virtual environment usage, clean code, and reproducible experiments., • Strong problem-solving ability, able to iterate quickly and learn new tools and techniques. Preferred Skills & Experience • Experience with Roboflow for dataset management, augmentation, annotation workflows, and/or model training., • Comfortable using Jupyter Notebooks for rapid experimentation, dataset exploration, and model evaluation., • Experience with “cutting-edge” vision model ecosystems and customisation (e.g. prompt-driven workflows, foundation segmentation models, hyperparameter tuning, adapters)., • Experience with synthetic data generation and simulators for perception training and testing., • Familiarity with robotics simulation tooling such as NVIDIA Isaac Sim, MuJoCo, Gazebo (or similar simulation environments)., • Familiarity with deployment constraints and optimisation for edge inference (e.g. NVIDIA DeepStream, or similar tooling), • Experience with Docker or container-based development for reproducible training and deployment environments., • Understanding of practical ML engineering workflows: experiment tracking, model/version management, dataset provenance, and regression testing, • Basic C/C++ knowledge (helpful for integrating models into production robotic systems)., • Keen interest in robotics, real-time perception, and the latest machine learning and computer vision research, with an emphasis on practical deployment outside the lab. Why Join AssetCool? • Work on groundbreaking technology revolutionizing the power grid., • Fast-growing startup with significant industry traction and large-scale projects., • Collaborative, innovation-driven team with exciting career growth opportunities., • Competitive salary, and flexible work options Research shows that some candidates may hesitate to apply unless they meet every listed requirement. If this role excites you but your experience doesn’t align perfectly with every qualification, we still encourage you to apply. You might be exactly who we're looking for, either for this role or another opportunity within our team. We’re proud to be an equal opportunities employer and welcome applications from people of all backgrounds. We’re committed to building an inclusive, supportive workplace where everyone can thrive, regardless of age, disability, gender identity, marital or civil partnership status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. If you have a disability or any specific requirements and need adjustments at any stage of the recruitment process, just let us know and we’ll do our best to accommodate your needs. We may close this vacancy early if we receive a high volume of applications. We encourage you to apply as soon as possible to avoid missing out.

Senior / Staff Machine Learning Engineer - Gaming London – Hybrid Competitive Salary + Benefits About the Role Our client is a global, technology-led organisation operating at the intersection of machine learning, computer vision, and interactive entertainment. They are investing heavily in advanced R&D to transform how quality assurance is done at scale. This role sits within a research-focused engineering team developing cutting-edge anomaly and glitch detection technology used across multiple stages of product development — from early builds through to large-scale testing and certification. The work has real-world impact, improving product quality for millions of end users globally. You’ll operate at Senior / Staff level, shaping technical direction, driving innovation, and contributing to both applied research and production-ready systems. Key Responsibilities • Designing, developing, and deploying novel machine learning models for anomaly and glitch detection, • Leading research workstreams and contributing to publications, patents, and internal knowledge sharing, • Working closely with cross-functional teams to productionise ML systems at scale, • Mentoring and guiding junior engineers and researchers, • Communicating complex technical concepts clearly to both technical and non-technical stakeholders, • Prototyping new ideas quickly to evaluate performance and feasibility Your work will focus on delivering high-impact ML solutions, including: • Anomaly detection applied to video, gameplay, and QA data, • Computer vision and video stream analysis, • Research-led ML systems transitioning into real-world production environments, • Scalable, high-performance ML pipelines What We’re Looking For • Strong academic background (Master’s or PhD preferred, or equivalent experience), • 5+ years’ experience delivering ML solutions from research through to deployment, • Strong Python skills and experience with PyTorch, TensorFlow, or similar frameworks, • Deep understanding of machine learning, data analysis, and statistical modelling, • Experience in anomaly detection, computer vision, or applied ML research, • A track record (or strong interest) in publishing, patents, or conference participation, • Strong communication skills and a collaborative mindset, • An interest in gaming or interactive technology is highly beneficial If this role looks of interest, please apply here!

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.

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.

About Quantiphi: • Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed., • Quantiphi has seen 2.5x growth YoY since its inception in 2013, we don’t just innovate - we lead., • Headquartered in Boston, with 4,000+ professionals across the globe. Quantiphi leverages Applied AI technologies across multiple a. Industry Verticals (Telco, BFSI, HCLS etc.) and is an established Elite/Premier Partner of NVIDIA, Google Cloud, AWS, Snowflake, and others. We have been recognized with: • 17x Google Cloud Partner of the Year awards in the last 8 years, • 3x AWS AI/ML award wins, • 3x NVIDIA Partner of the Year titles, • 2x Snowflake Partner of the Year awards, • Recognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firms, • We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators, • We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023 Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! For more details, visit: Website or LinkedIn Page. Role: Sr Machine Learning Engineer Experience Level: 5+ years Employment type: Full Time Location: Remote (UK) Job Summary We are seeking a Sr Machine Learning Engineer to join our growing team. In this role, you will design, develop, evaluate, and deploy traditional machine learning models and solutions to solve real-world business problems. You’ll work closely with cross-functional teams including Data Science, Software Engineering, and Product to translate analytical insights into scalable production systems. This is an exciting opportunity for a data-savvy individual with a strong business acumen to make a significant impact on our customer retention and long-term success. Key Responsibilities: • Design, train, validate, and optimize classical ML models (e.g., regression, decision trees, random forests, gradient boosting) for structured and semi-structured data., • Perform feature engineering, model selection, hyperparameter tuning, and evaluation using tools like scikit-learn, XGBoost, LightGBM., • Build robust data preprocessing pipelines and scalable workflows for model training and inference., • Collaborate on the development of agentic AI components — systems capable of autonomously planning, adapting, and executing tasks toward high-level goals with limited human oversight., • Integrate classical machine learning models into agentic AI workflows where predictive capabilities inform planning, decision-making, and action selection., • Develop and evaluate interfaces between agentic components and external tools, APIs, or systems to enable real-world actions., • Work closely with data engineers, software developers, product owners, and domain experts to translate analytical insights into operational workflows., • Document model development, deployment decisions, and agentic AI design choices., • Contribute to best practices in ML lifecycle management and agentic system governance., • Experience with other GCP services like Cloud Storage, Dataflow, or Vertex AI is a plus. Required Skills & Qualifications: • Bachelor's or Master's degree in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, Economics, or a related discipline., • 5 years of progressive experience in data analysis, business intelligence, or data science roles. What is in it for you: • Make an impact at one of the world’s fastest-growing AI-first digital engineering companies., • Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues., • Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines., • Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.

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