data scientists and product managers who are spread across several geographies. The team covers a variety of industries, functions, analytics methodologies and platforms – e.g. Cloud data engineering, advanced statistics, machinelearning, predictive analytics, MLOps and generative AI. What You’ll Do You will collaborate closely with a team comprising data scientists, data engineers, product developers, and analytics-focused … automation. ● Using your business understanding to critically review model results, trends, analyses and classifications. ● Coach & help other colleagues: Coach & help you peers when needed, we deliver as a team. ● Machinelearning model development: Lead the design and refinement of statistical models, optimization techniques, advanced machinelearning, and predictive models ● LLM optimization and evaluation: Fine-tune and … evaluating the performance and efficiency of Large Language Models, leveraging the latest advancements in neural network architectures and machinelearning techniques Qualifications ● Bachelor's degree in the field of computer science, machinelearning, applied statistics, mathematics or related field required. Advanced degree is a strong plus ● Strong data translation and presentation skills with the ability to More ❯
SR2 | Socially Responsible Recruitment | Certified B CorporationTM
effective systems for internal engineering teams. Microservices & API Gateways Guide distributed system architectures and internal service integration. Define best practices for service-to-service communication and data management. AI & ML Enablement Set vision for MLOps platforms and streamline machinelearning workflows. Enable deployment of traditional and generative AI models into internal platforms. Developer Experience & DevOps Tooling Shape strategy … CD, Infrastructure as Code (IaC), and monitoring frameworks. Enhance developer productivity, deployment velocity, and system reliability. Key Responsibilities Define and maintain product roadmaps for platform, infrastructure, and AI/ML tooling. Act as primary product partner to engineering, SRE, and data science teams. Lead initiatives that boost developer experience, system observability, and engineering efficiency. Foster a culture of enablement, documentation …/SRE teams on internal tooling and shared services. Track record of delivering internal products that boost developer workflows, reliability, or deployment velocity. Hands-on experience with AI/ML platforms, MLOps, and deploying machinelearning models into production environments. Core Focus Areas Core Platform Engineering Developer Experience (DevEx/DX) Engineering Productivity DevOps Tooling Observability Solutions Platform More ❯
be the role for you. In this role, you’ll work directly with clients to identify opportunities for AI, design intelligent solutions, and support successful implementation. Projects range across machinelearning, NLP, and computer vision, and no two days are the same. You'll help organisations move from ambition to execution, building scalable models, integrating them into production … and ensuring measurable impact. Requirements: Strong background with Microsoft Data tech with cloud platform experience Strong Python experience Experience with Data Science, MachineLearning, AI tech. You’ll join one of the UK’s leading Microsoft partners — with expert status across Azure, a strong ethical compass, and a commitment to sustainability and social impact. This is a chance More ❯
Forward Deployed Product Engineer (Python) Fully Remote within the UK Up to £160k + Stock + Benefits Series C, Developer Tooling/ML Deployments Join a US scale-up on a mission to empower Engineering teams to deliver their best work, through simplifying the deployment of MachineLearning models As they expand their global footprint, raised Series C … seeking a talented Forward Deployed Engineer to join the UK team! About the Role As a Forward Deployed Engineer you'll collaborate directly with customers to understand challenges, engineering ML-based deployment solutions. You'll be instrumental in ensuring clients achieve optimal outcomes with their models, focusing on aspects like optimisation, scalability & efficiency You’ll work alongside teams that have … joined from world-class tech businesses like NVIDIA, Amazon, Datadog, Vercel, Meta, GitHub and Uber Key Responsibilities Partner with customers to identify and address their ML deployment needs Implement and optimise ML solutions using Python, open-source tools & infrastructure Collaborate with cross-functional teams to enhance product features, based on client feedback Work with Python, PyTorch, Tensorflow, Kubernetes, Docker & cloud More ❯
Technology. What we are looking for: Computer Science degree or other software engineering discipline or equivalent. knowledge and understanding of network protocols and technologies, automation technologies and AI/ML-driven observability platforms and analytics tools, including Terraform, Itential, NetDevOps, Splunk, Python, React JS, Django and database technologies such as MySQL DB and Redis. Experience with custom application development using More ❯
Do you want to leverage your AI/ML skillset in a rapidly growing start-up that’s focused on Gen AI advancements? Do you want the freedom to work with a diverse range of clients and be responsible for creating bespoke end-to-end technical solutions for them? You’ll be joining a start-up whose founders have already More ❯
education. • Domain Knowledge: Familiarity with sustainability metrics, life sciences data, or educational assessment techniques. • Collaborative Software Development: Understanding of version control systems like Git. • Data Science Foundations: Insight into machinelearning principles and techniques for advanced analysis. More ❯
brands compete online. Their cutting-edge platform powers smarter eCommerce decisions for global brands across Amazon, Walmart, Instacart, and more. Backed by first-to-market technology, the company blends machinelearning with deep category expertise—enabling clients to win in the fast-moving digital commerce space. With a collaborative culture and a commitment to mentorship, this is an … excel! Benefits & Perks: Flexible, hybrid working model across major European locations Work with a dynamic, passionate team on a truly innovative product Fast-track career growth with mentorship and learning from industry leaders Make a measurable impact with some of the world’s most recognisable brands Be part of a company shaping the future of digital commerce Apply and More ❯
looking for the top 0.1% Deliver world-class candidate experience that drives long-term loyalty and referrals Grow into a deep tech specialist, hiring across software, data, AI/ML, and leadership roles What Makes You a Great Fit: Proven success in 360 tech recruitment (agency or embedded) Entrepreneurial mindset – ready to build and own something Strong communicator and relationship More ❯