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AI Engineer Programme – Job Support Included Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 10–14 week online programme with approximately 10–15 hours of study per week. You’ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. Starting salaries: £35,000 – £45,000+ Who This Is For Beginner-friendly and suitable for career changers. No prior AI experience required. UK-based learners only. Apply now. Limited spaces available.

AI Engineer Programme – Job Support Included Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 10–14 week online programme with approximately 10–15 hours of study per week. You’ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. Starting salaries: £35,000 – £45,000+ Who This Is For Beginner-friendly and suitable for career changers. No prior AI experience required. UK-based learners only. Apply now. Limited spaces available.

AI Engineer Programme – Job Support Included Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 10–14 week online programme with approximately 10–15 hours of study per week. You’ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. Starting salaries: £35,000 – £45,000+ Who This Is For Beginner-friendly and suitable for career changers. No prior AI experience required. UK-based learners only. Apply now. Limited spaces available.

AI Engineer Programme – Job Support Included Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 10–14 week online programme with approximately 10–15 hours of study per week. You’ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. Starting salaries: £35,000 – £45,000+ Who This Is For Beginner-friendly and suitable for career changers. No prior AI experience required. UK-based learners only. Apply now. Limited spaces available.

AI Engineer Programme – Job Support Included Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 10–14 week online programme with approximately 10–15 hours of study per week. You’ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. Starting salaries: £35,000 – £45,000+ Who This Is For Beginner-friendly and suitable for career changers. No prior AI experience required. UK-based learners only. Apply now. Limited spaces available.

AI Engineer Programme – Job Support Included Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 10–14 week online programme with approximately 10–15 hours of study per week. You’ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. Starting salaries: £35,000 – £45,000+ Who This Is For Beginner-friendly and suitable for career changers. No prior AI experience required. UK-based learners only. Apply now. Limited spaces available.

AI Engineer Programme – Job Support Included Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 10–14 week online programme with approximately 10–15 hours of study per week. You’ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. Starting salaries: £35,000 – £45,000+ Who This Is For Beginner-friendly and suitable for career changers. No prior AI experience required. UK-based learners only. Apply now. Limited spaces available.

AI Engineer Programme – Job Support Included Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 10–14 week online programme with approximately 10–15 hours of study per week. You’ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. Starting salaries: £35,000 – £45,000+ Who This Is For Beginner-friendly and suitable for career changers. No prior AI experience required. UK-based learners only. Apply now. Limited spaces available.

AI Engineer Programme – Job Support Included Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 10–14 week online programme with approximately 10–15 hours of study per week. You’ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. Starting salaries: £35,000 – £45,000+ Who This Is For Beginner-friendly and suitable for career changers. No prior AI experience required. UK-based learners only. Apply now. Limited spaces available.

AI Engineer Programme – Job Support Included Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 10–14 week online programme with approximately 10–15 hours of study per week. You’ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. Starting salaries: £35,000 – £45,000+ Who This Is For Beginner-friendly and suitable for career changers. No prior AI experience required. UK-based learners only. Apply now. Limited spaces available.

AI Engineer Programme – Job Support Included Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 10–14 week online programme with approximately 10–15 hours of study per week. You’ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. Starting salaries: £35,000 – £45,000+ Who This Is For Beginner-friendly and suitable for career changers. No prior AI experience required. UK-based learners only. Apply now. Limited spaces available.

AI Engineer Programme – Job Support Included Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 10–14 week online programme with approximately 10–15 hours of study per week. You’ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. Starting salaries: £35,000 – £45,000+ Who This Is For Beginner-friendly and suitable for career changers. No prior AI experience required. UK-based learners only. Apply now. Limited spaces available.

AI Engineer Programme – Job Support Included Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 10–14 week online programme with approximately 10–15 hours of study per week. You’ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. Starting salaries: £35,000 – £45,000+ Who This Is For Beginner-friendly and suitable for career changers. No prior AI experience required. UK-based learners only. Apply now. Limited spaces available.

AI Engineer Programme – Job Support Included Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 10–14 week online programme with approximately 10–15 hours of study per week. You’ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. Starting salaries: £35,000 – £45,000+ Who This Is For Beginner-friendly and suitable for career changers. No prior AI experience required. UK-based learners only. Apply now. Limited spaces available.

AI Engineer Programme – Job Support Included Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 10–14 week online programme with approximately 10–15 hours of study per week. You’ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. Starting salaries: £35,000 – £45,000+ Who This Is For Beginner-friendly and suitable for career changers. No prior AI experience required. UK-based learners only. Apply now. Limited spaces available.

AI Engineer Programme – Job Support Included Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 10–14 week online programme with approximately 10–15 hours of study per week. You’ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. Starting salaries: £35,000 – £45,000+ Who This Is For Beginner-friendly and suitable for career changers. No prior AI experience required. UK-based learners only. Apply now. Limited spaces available.

AI Engineer Programme – Job Support Included Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 10–14 week online programme with approximately 10–15 hours of study per week. You’ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. Starting salaries: £35,000 – £45,000+ Who This Is For Beginner-friendly and suitable for career changers. No prior AI experience required. UK-based learners only. Apply now. Limited spaces available.

AI Engineer Programme – Job Support Included Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 10–14 week online programme with approximately 10–15 hours of study per week. You’ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. Starting salaries: £35,000 – £45,000+ Who This Is For Beginner-friendly and suitable for career changers. No prior AI experience required. UK-based learners only. Apply now. Limited spaces available.

AI Engineer Programme – Job Support Included Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 10–14 week online programme with approximately 10–15 hours of study per week. You’ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. Starting salaries: £35,000 – £45,000+ Who This Is For Beginner-friendly and suitable for career changers. No prior AI experience required. UK-based learners only. Apply now. Limited spaces available.

AI Engineer Programme – Job Support Included Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 10–14 week online programme with approximately 10–15 hours of study per week. You’ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. Starting salaries: £35,000 – £45,000+ Who This Is For Beginner-friendly and suitable for career changers. No prior AI experience required. UK-based learners only. Apply now. Limited spaces available.

AI Engineer Programme – Job Support Included Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 10–14 week online programme with approximately 10–15 hours of study per week. You’ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. Starting salaries: £35,000 – £45,000+ Who This Is For Beginner-friendly and suitable for career changers. No prior AI experience required. UK-based learners only. Apply now. Limited spaces available.

AI Engineer Programme – Job Support Included Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 10–14 week online programme with approximately 10–15 hours of study per week. You’ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. Starting salaries: £35,000 – £45,000+ Who This Is For Beginner-friendly and suitable for career changers. No prior AI experience required. UK-based learners only. Apply now. Limited spaces available.

AI Engineer Programme – Job Support Included Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 10–14 week online programme with approximately 10–15 hours of study per week. You’ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. Starting salaries: £35,000 – £45,000+ Who This Is For Beginner-friendly and suitable for career changers. No prior AI experience required. UK-based learners only. Apply now. Limited spaces available.

Machine Learning Engineer Location: London (Hybrid, approx. 3 days per week onsite) Salary: Up to £65,000 (depending on experience) NOTE: Candidates must be eligible for UK Developed Vetting (DV) This is an opportunity to work at the forefront of applied AI within highly secure and mission-critical environments. You’ll be contributing to the development of advanced machine learning and generative AI solutions that deliver real-world impact across complex, high-stakes domains. You will be embedded within a multidisciplinary engineering team, working across the end-to-end delivery of machine learning systems. This includes building models, running experiments, and deploying scalable solutions using modern cloud and MLOps tooling. Key Responsibilities Include: • Designing and developing machine learning models (e.g. classification, forecasting, anomaly detection), • Supporting experimentation cycles: hypothesis definition, testing, and evaluation, • Contributing to the deployment of models into production environments, • Building and maintaining ML pipelines using AWS services, • Assisting in the development of GenAI/LLM-based applications (e.g. prompt engineering, RAG pipelines), • Implementing best practices in experiment tracking, model versioning, and reproducibility, • Monitoring model performance and supporting continuous improvement, • Collaborating with engineers, data scientists, and stakeholders across the delivery lifecycle Required Skills & Experience • Minimum 1+ year of commercial experience in machine learning or data science, • Strong Python skills with experience in ML frameworks such as scikit-learn, PyTorch, TensorFlow, or XGBoost, • Exposure to AWS services (e.g. S3, Lambda, SageMaker), • Understanding of core ML concepts: model evaluation, validation, and experimentation, • Familiarity with MLOps or experiment tracking tools (e.g. MLflow, Weights & Biases), • Awareness of LLMs or generative AI concepts, • Strong problem-solving ability and willingness to learn in a fast-paced environment, • Ability to communicate technical concepts clearly Desirable Experience • Experience with LLM frameworks (e.g. LangChain), • Knowledge of vector databases or RAG architectures, • Exposure to Docker or containerised environments, • Familiarity with data processing tools (e.g. Spark, Dask), • Understanding of CI/CD or infrastructure as code If you are an ambitious Machine Learning Engineer looking to build real-world AI systems in a high-impact environment, apply today.

We are seeking a Machine Learning Engineer – Generative AI (3D & Real-Time Rendering) to join our onsite team in London. In this role, you will design, implement, and optimize advanced generative AI systems for real-time photorealistic rendering and 3D applications. You will work at the intersection of deep learning and computer graphics, collaborating closely with rendering and engine teams to integrate cutting-edge AI into production-grade pipelines. You will tackle challenging problems such as low-latency inference, controllable generation, and deploying generative models within real-time rendering systems. Minimum Qualifications Bachelor’s degree with 4+ years of relevant industry experience. • Strong expertise in deep learning, neural networks, and generative models (diffusion, GANs, transformers)., • Hands-on experience with modern ML frameworks (e.g., PyTorch, JAX, TensorFlow)., • Advanced programming skills in Python., • Solid understanding of model training, evaluation, and scaling., • Strong problem-solving, analytical, and communication skills., • Ability to work effectively in multidisciplinary, fast-paced, research-driven teams. Preferred Qualifications • Experience with 3D vision, neural rendering, or photorealistic rendering pipelines., • Familiarity with rendering engines (e.g., Unreal Engine, Unity) or custom 3D engines., • Experience with multimodal and foundation models (e.g., text-to-3D, video generation)., • Knowledge of NeRFs, Gaussian splatting, or neural scene representations., • Experience optimizing models for real-time inference (TensorRT, ONNX, quantization, distillation)., • GPU programming experience (CUDA, Triton, or similar)., • Track record of publications at top-tier venues (NeurIPS, CVPR, ICML, ICLR, SIGGRAPH, ECCV)., • Experience integrating ML models into production pipelines (e.g., graphics, AR/VR, simulation systems)., • Contributions to open-source projects or collaboration with research labs. Key Responsibilities • Develop and optimize state-of-the-art generative AI systems (diffusion, transformer-based models) for real-time photorealistic rendering and 3D applications., • Design pipelines for controllable, high-fidelity, low-latency generation within rendering systems., • Collaborate with graphics and rendering teams to integrate AI models into real-time engines and production pipelines., • Prototype, benchmark, and productionize algorithms for photorealistic 2D/3D content generation., • Advance techniques in neural rendering, scene generation, and AI-driven photorealism., • Improve model efficiency, scalability, and deployment performance., • Stay up to date with the latest research and rapidly experiment with emerging approaches., • Work cross-functionally to align technical solutions with product and business goals. What We Offer • The opportunity to work at the intersection of generative AI, 3D vision, and real-time photorealistic rendering., • A fast-moving, research-driven environment with real product impact., • A culture that values technical excellence, ownership, and creativity., • Very attractive salary If you are passionate about generative AI, real-time photorealistic rendering, and 3D systems, and want to help build the next generation of AI-driven graphics pipelines, we’d love to hear from you.

Title: Software Engineer Client: Elite Buy-Side Fund Salary: Up to £140,000 + Bonus + Benefits Location: London (Hybrid) The Opportunity: Step into a high-performance role at the intersection of finance and technology. As a software engineer you will develop and optimise critical trading systems, build data-driven solutions and work with cutting-edge technology to drive decision making at scale. Your Responsibilities (Full Spec. Available): • Develop and optimise high-frequency trading systems, • Write efficient code to minimise latency, maximise throughput and ensure seamless operation under high-pressure conditions, • Driving innovation by exploring new technologies, machine learning and cutting edge tools to advance competitive edge Who You Are: • Strong proficiency in any OO language (they are agnostic) - (low-latency or systems-level experience preferred), • Deep understanding of data structures, algorithms, and computer architecture, • Proven ability to tackle complex challenges with initiative and agility in high-pressure environments Apply now or reach out directly: for more details

Job title: Machine Learning Engineer (Contract) Job type: Contract Contract Length: 6 months Rate: £600/day+ Role Location: Hybrid or remote (Farringdon, London) The company: A fast-growing, product-focused technology company operating a large-scale, data-driven platform. The business places a strong emphasis on machine learning to enhance user experience and platform safety, with a collaborative, cross-functional engineering culture. Role and Responsibilities: • Own and improve ML retraining pipelines to reduce manual effort for ML scientists., • Enhance model deployment and inference pipelines (primarily using AWS SageMaker)., • Improve observability, monitoring, and overall performance of ML systems., • Work closely with ML scientists to identify pain points and translate them into scalable solutions., • Optimise asynchronous inference pipelines (Kafka, RabbitMQ)., • Implement features such as shadow deployments, A/B testing, and enhanced metrics., • Improve CI/CD pipelines to accelerate model iteration and deployment., • Collaborate within a cross-functional product squad. Job Requirements: • Strong Python engineering skills., • Experience with ML training and deployment pipelines., • Hands-on experience with AWS (ideally SageMaker)., • Experience with Docker and containerisation., • Solid understanding of CI/CD processes., • Experience with Kafka or similar asynchronous systems (e.g. RabbitMQ)., • Ability to work independently and drive engineering improvements., • Experience with LLMs, text-based models, or detection systems is a plus. Accessibility Statement: We make an active choice to be inclusive towards everyone every day. Please let us know if you require any accessibility adjustments through the application or interview process.

Job Title: Forward Deployed Engineer (FDE) – Location: London or Dublin Hybrid Employment type: Contract Department: Solutions Engineering / Customer-Facing AI Deployment Role Overview is seeking a Forward Deployed Engineer (FDE) to work directly with strategic enterprise customers to scope, design, and deploy AI solutions using ’s cutting-edge models. This is a hands-on, full-stack engineering role that spans the entire customer lifecycle: pre-sales discovery, technical scoping, SOW creation, prototyping, production deployment, and post-sales optimization. You will act as a trusted technical advisor, building enterprise-grade AI solutions while helping customers understand the possibilities of technology. Key Responsibilities 🔹 Pre-Sales & Technical Scoping • Partner with Account Executives to identify high-value AI opportunities, • Lead technical discovery sessions to capture business requirements, • Design solution architectures leveraging APIs (GPT, Codex, embeddings), • Create Statements of Work (SOWs), delivery timelines, and technical plans, • Build proof-of-concepts and demos for customer evaluation, • Advise on enterprise AI readiness and integration strategies 🔹 Full-Stack AI Solution Delivery (Post-Sales) • Develop production-ready AI applications end-to-end: o Frontend: React, TypeScript dashboards, web interfaces o Backend: Python, Node.js APIs, orchestration layers o AI integration: LLMs, embeddings, RAG pipelines • Integrate AI solutions into enterprise systems (CRM, ERP, support platforms), • Build data pipelines and vector search systems to support AI functionality, • Ensure scalability, security, and compliance in all deployments, • Troubleshoot, optimise, and maintain production AI systems 🔹 Enterprise Deployment & Customer Success • Lead technical delivery and act as primary engineer during deployment, • Train and mentor client teams on solution usage, • Monitor adoption and provide recommendations for scaling and optimisation, • Identify additional AI use cases to expand customer impact 🔹 Cross-Functional Collaboration • Provide field feedback to Product and Research teams, • Develop reusable frameworks, prototypes, and accelerators, • Collaborate with other FDEs to share best practices across customers Required Skills & Experience Technical • Strong full-stack development skills: o Frontend: React, TypeScript, modern web frameworks o Backend: Python, Node.js, REST/GraphQL APIs • Experience with cloud infrastructure (AWS, Azure, GCP), • Familiarity with data pipelines, vector databases, and RAG systems, • Understanding of scalable distributed system architecture AI / Machine Learning • Hands-on experience with large language models (LLMs), • Knowledge of prompt engineering, embeddings, and AI orchestration, • Experience deploying AI into production environments, • Familiarity with AI system monitoring, evaluation, and optimisation Pre & Post Sales / Enterprise Delivery • Experience in technical pre-sales, solutions engineering, or consulting, • Proven track record defining SOWs and delivery plans, • Experience working with enterprise customers in complex environments, • Ability to translate business requirements into technical AI solutions Key Attributes • Customer-first mindset with strong communication skills, • Commercial awareness and ability to influence enterprise decisions, • High adaptability in ambiguous, fast-paced environments, • Ownership of projects from discovery through production, • Comfortable operating at both strategic and technical levels Typical Use Cases • AI copilots for internal productivity and knowledge work, • Customer service automation and document summarisation, • Workflow automation using LLMs and AI orchestration, • Enterprise AI integrations with CRM, ERP, and internal tools, • Multi-agent or advanced AI systems with RAG pipelines Nice to Have • Experience in SaaS, consulting, or enterprise technology environments, • Knowledge of DevOps, CI/CD, and MLOps practices, • Familiarity with security and compliance requirements in enterprise AI, • Prior experience in AI research or model fine-tuning

The Challenge Cardiometabolic conditions will impact 80-90% of people throughout their lifetimes, representing the leading cause of death globally and an important risk factor for a variety of neurodegenerative diseases and cancer. Sustainably addressing these diseases requires breakthrough therapeutics, AI/ML innovation, and transformative business models. The Opportunity This is a ground-floor opportunity to shape the future of AI-driven population health management at Onsera Health. Backed by Population Health Partners (PHP)—the proven venture platform behind Metsera (Acquired by Pfizer), Areteia Therapeutics, and Corsera Health—we're building the future of population health. As an AI Engineer, you'll be core to designing and developing patient facing agentic AI systems. You'll work closely with the Clinical and Product teams to operationalize production-grade agentic workflows, design experiments, and rigorously evaluate model performance to ensure impact and safety. You'll build voice based intake workflows, patient engagement systems, clinician-facing tooling and more. Responsibilities • Design and develop patient-facing agentic AI systems, including voice-based intake workflows, patient engagement tools, and clinician-facing applications, • Build and deploy production-grade agentic workflows using LLMs, ensuring reliability, safety, and clinical appropriateness, • Design experiments and rigorously evaluate model performance across accuracy, latency, safety, and user experience metrics, • Partner closely with Clinical, Product, and Engineering teams to translate clinical requirements into robust AI solutions, • Communicate technical approaches and findings to both technical and non-technical stakeholders through clear documentation and presentations What we offer • Mission-driven work addressing critical public health and healthcare economics challenges, • Ground-floor opportunity to shape a breakthrough healthcare AI solution, • Partnership with a world-class team of venture capitalists, innovators, technologists, bioscientists, and clinicians from PHP and beyond, • A fast-paced, dynamic, and highly collaborative work environment, • Competitive salary and benefits package, including participation in our equity program Minimum qualifications • 2+ years of experience in AI/ML engineering, software engineering with ML focus, or a related field (exceptional recent graduates with strong project experience or research welcome), • BS or MS in Computer Science, Machine Learning, Mathematics, or a related quantitative discipline, • Strong Python proficiency and hands-on experience building with LLMs (prompt engineering, RAG, function calling, agent frameworks), • Experience with agent orchestration frameworks (e.g., LangGraph), • Strong software engineering fundamentals such as writing clean code, version control, testing, • Excellent communication skills and comfort working in fast-paced, cross-functional teams Preferred qualifications • Experience building voice AI or conversational AI systems, • Experience with patient-facing systems, • Familiarity with cloud infrastructure (GCP, AWS, or Azure), • Exposure to evaluation and safety tooling for LLM-based systems (guardrails, human-in-the-loop review) About the Venture We are an early-stage health AI company revolutionizing cardiometabolic care and economics. Our unique position within the PHP ecosystem provides: • Venture Track Record: A proven track record of success in incubating innovative biotech and healthcare companies, • Deep Capital: Funding runway and resourcing to support deep technological/scientific R&D and to drive growth, • Strategic Guidance: Direct access to industry pioneers (including founders of The Medicines Company and Metsera), strategists (McKinsey/QuantumBlack alumni), and world-class scientific talent (e.g., scientific leaders at Oxford University Ellison Institute of Technology), • Expert Network: Established connections across pharma, payers, and providers, • Startup Agility: Ownership in the venture, founder mentality, and ground-floor impact PHP Population Health Partners (PHP) is a premier investment firm established in 2020, aimed at transforming health outcomes for large populations. With offices in New York and London, PHP combines financial resources with industry-leading capabilities and technology. The firm's incubation portfolio includes Metsera (NASDAQ: MTSR), Areteia Therapeutics, and Corsera Health. Leadership: Led by industry veterans including Clive Meanwell (The Medicines Company), Chris Cox (The Medicines Company), and Whit Bernard (Metsera), bringing decades of founder experience and operational excellence in biopharma and healthcare.

Lead Machine Learning Engineer: Up to 125k Xcede are currently partnering with one of Europe’s leading applied AI organisations. They collaborate with governments and major enterprises to tackle complex, high-impact challenges through advanced machine learning and data science solutions. One notable aspect is their status as a tech unicorn, valued at over £1bn, as well as their reputation as a pioneer in delivering safe, real-world AI. At present, they are looking to appoint ML Engineers for a Lead role within their Retail unit. The successful candidate will have hands-on experience operating as a Lead ML Engineer within the Retail sector. You will: • Set the technical vision for advanced machine learning programmes, assessing key trade-offs, shaping project strategies, and coordinating delivery across multiple workstreams in complex or high-pressure environments., • Build and maintain scalable ML and software platforms while encouraging the development of shared tools and frameworks and supporting engineers in contributing to them., • Support hiring and mentor engineering talent, act as a trusted technical partner to clients, define and scope large-scale initiatives, and drive the adoption of new technologies and improved engineering practices. Requirements: • Strong technical expertise, • Proficiency in Python, • Experience with major cloud platforms, • Experience working with Docker and Kubernetes, • Experience mentoring engineers If you are interested in this or other ML Engineering positions, please contact Gilad Sabari @ | 02074226861

Junior Data Scientist / Junior Machine Learning Engineer (Urgent Hiring) Company: Information Tech Consultants Ltd Location: London, United Kingdom Job Type: Full-time Experience: 2–5 years Job Overview Information Tech Consultants Ltd is seeking a Junior Data Scientist / Junior Machine Learning Engineer to develop machine learning models and deliver data-driven solutions for client projects. Key Responsibilities • Analyze and work with large datasets, • Develop and deploy machine learning models, • Write scalable code using Python and SQL, • Perform data analysis, feature engineering, and model evaluation, • Collaborate with cross-functional teams to deliver analytics solutions Required Skills • 2–4 years of experience in Data Science or Machine Learning, • Strong programming skills in Python and SQL, • Experience with machine learning algorithms and data analysis, • Good communication and problem-solving skills Education Master’s degree in Data Science, Computer Science, Statistics, Mathematics, AI, or related field.

About the Role We are seeking a Senior Full-Stack Engineer to join our team and help build the next generation of AI solutions. This is a unique opportunity to be a key technical contributor in a fast-paced, innovative environment where you'll wear many hats and have significant impact on our product and engineering culture. As a full-stack engineer, you'll work across the entire technology stack—from backend services and data pipelines to infrastructure and deployment. You'll collaborate closely with the engineering team to architect, build, and scale our micro-services based platform while maintaining high code quality and operational excellence, utilising AI to maximise software development productivity. About Prolo Prolo is building an AI-powered procurement platform for the construction industry, which is one of the oldest and least digitised sectors in the world. The core system ingests unstructured purchase orders and transforms them into structured materials data, integrating with a network of suppliers and logistics partners to automate quoting, sourcing, and fulfilment workflows. What We're Building We're building a sophisticated AI platform that leverages graph databases, machine learning, and modern cloud infrastructure to deliver intelligent procurement and customer service solutions. Our stack includes: • Backend Services: Python 3.13, FastAPI, async micro-services architecture, • Data Layer: Neo4j graph database, PostgreSQL, complex data modelling, • AI/ML: OpenAI integration, semantic search, conversational agents, unstructured data analysis and extraction, • Infrastructure: AWS (Lambda, ECS/EKS, API Gateway, S3), • DevOps: Terraform, GitHub Actions, Helm, Infrastructure-as-Code, • Data Science: Graph analytics, data pipelines, ETL workflows, Jupyter notebooks Required Qualifications Software Development • 5+ years of professional software engineering experience, • Strong proficiency in Python (3.10+) with deep understanding of async programming, • Experience with Poetry or similar Python dependency management tools, • Experience building RESTful APIs and micro-services, • Solid understanding of database design and optimisation (both SQL and NoSQL), • Experience with graph databases (Neo4j preferred) or willingness to learn quickly, • Knowledge of event-driven architectures and message queues, • Knowledge of API design principles, data validation, and serialisation, • Experience with observability tools (OpenTelemetry, Prometheus, Grafana), • Experience with AWS Lambda and serverless architectures, • Experience working across the stack (backend + some frontend), • Understanding of web technologies, HTTP, and API integrations, • Ability to contribute to responsive frontend code when needed, • Hands-on experience using AI-assisted development tools (e.g. Cursor, GitHub Copilot) including prompt engineering, context management, and evaluating AI-generated code critically, • Familiarity with agentic coding workflows — using AI agents to scaffold, refactor, test, and document code autonomously DevOps & Infrastructure • Hands-on experience with cloud platforms (AWS preferred), • Experience with containerisation (Docker) and orchestration (Kubernetes), • Knowledge of Infrastructure as Code (Terraform, CloudFormation, or similar), • Experience setting up CI/CD pipelines, • Understanding of service deployment, monitoring, and troubleshooting Data Science/Analytics • Experience with data analysis using Python (pandas, numpy), • Understanding of data pipelines and ETL processes AI/LLM Engineering • Experience integrating LLM APIs (OpenAI, Anthropic, Gemini, or open-source equivalents) into production applications, • Understanding of core LLM concepts: context windows, token limits, temperature, system prompts, and model selection trade-offs, • Experience with prompt engineering techniques — few-shot prompting, chain-of-thought, structured output, and instruction tuning, • Practical knowledge of RAG (Retrieval-Augmented Generation) architectures, including chunking strategies, vector embeddings, and similarity search, • Familiarity with LLM orchestration frameworks such as LangChain, LlamaIndex, or similar, • Experience designing and building agentic systems — tool-calling agents, multi-step reasoning, and human-in-the-loop workflows, • Understanding of MCP (Model Context Protocol) or similar standards for connecting AI models to external tools and data sources, • Knowledge of LLM evaluation methods — measuring accuracy, hallucination, latency, and cost, • Awareness of responsible AI practices: bias, safety, output validation, and guardrails in production systems, • Experience managing LLM costs and optimising for latency vs. quality trade-offs in real deployments Soft Skills • Wearer of Many Hats: Comfortable switching contexts and working across different domains, • Self-Starter: Ability to work independently and take ownership of projects, • Problem Solver: Strong analytical and debugging skills, • Collaborative: Excellent communication skills and ability to work in a small team, • Adaptable: Comfortable with ambiguity and rapid iteration, • Mentoring: Able to mentor less-experienced Software Engineers. Nice-to-Have Qualifications • Experience with FastAPI or similar async Python web frameworks, • Experience with Neo4j or other graph databases, • Experience with graph algorithms and network analysis, • Experience with Helm and Kubernetes operators, • Background in data science, statistics, or scientific computing, • Experience with graph analytics or network analysis, • Experience with Apple and Google App Stores, • Experience in early-stage startups What We Offer • Impact: Direct influence on product direction and technical decisions, • Growth: Opportunity to work across the entire stack and learn new technologies, • Ownership: Take ownership of features from conception to deployment, • Flexibility: Hybrid, remote-friendly work environment, • Equity: Meaningful equity stake in the company, • Learning: Access to cutting-edge technologies and challenging problems How to Apply Please submit: • Your resume/CV, • A brief cover letter explaining why you're interested in this role, • Links to your GitHub profile or relevant code samples, • Any relevant projects or work that demonstrates your experience We're particularly interested in candidates who can demonstrate: • Experience building scalable backend systems, • Ability to work across multiple domains (backend, DevOps, data), • Examples of taking projects from idea to production, • Contributions to open source or personal projects Note: Prolo is a startup with a small engineering team, which means you'll be expected to be versatile, proactive, and comfortable with ambiguity. If you're excited about building something from the ground up and working across the entire technology stack, we'd love to hear from you.

Full Stack Software Engineer – Industrial Systems / Factory Operating Platform We are currently partnered with a rapidly scaling deep tech company transforming industrial manufacturing through distributed, software-defined factories. With operations already live across the UK, they are expanding quickly and looking to grow their engineering team with a Full Stack Software Engineer to help build their proprietary factory operating system. This role is full time on site Key responsibilities • Architect, design, and develop core systems powering factory automation, real-time data processing, and user-facing applications, • Own full-stack development across infrastructure, backend services, frontend/UX, and real-time monitoring systems, • Work closely with leadership and on-site factory teams to identify operational bottlenecks and translate them into high-impact software solutions, • Rapidly deploy and iterate software directly within live production environments Key requirements • Bachelor’s degree in Computer Science, Engineering, or a related field, • Experience in full stack software engineering, • Strong coding ability across backend and frontend technologies, with a preference for strong UX/front-end experience, • Experience building and scaling complex systems in production environments, • Ability to operate independently with high ownership in fast-paced, ambiguous settings Keywords: Full Stack / Backend / Frontend / UX / Distributed Systems / Real-Time Data / Factory Automation / Industrial Software / Infrastructure / Machine Learning / Monitoring Systems / High Reliability / Production Systems / Manufacturing Technology If you are interested in this position, please send a CV to By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice ___

Principal AI Engineer Hybrid Working on Client Site £100,000 to £130,000 plus bonus and benefits This is a standout opportunity to shape and deliver cutting‑edge digital solutions that drive real operational impact. You will work directly with clients, embedding AI, advanced analytics, and digital tools into live environments and seeing your work translate into tangible outcomes. The Company This organisation is known for delivering meaningful, measurable change across both public and private sectors. They partner closely with clients to solve complex challenges using AI, data science, and digital innovation. Their culture is collaborative, low‑ego, and centred on developing exceptional talent. As they scale their digital capabilities, you will be joining a growing team with significant influence on its future direction. The Role • Identify high‑impact opportunities to apply AI, data science, advanced analytics, and digital tooling., • Lead technical workstreams, including the design and delivery of machine learning solutions and digital tools., • Work closely with client teams on the ground to embed solutions directly into operations., • Guide multi‑disciplinary teams that combine people, processes, and technology to deliver sustainable results., • Translate complex technical concepts into clear, actionable insights for non‑technical stakeholders., • Mentor colleagues and help shape best‑practice approaches across digital programmes., • Stay current with emerging technologies and bring innovative ideas into client delivery. Client site travel is essential as you will drive change alongside client teams. Your Skills and Experience • Strong commercial experience taking digital ideas from concept through to operational impact., • Deep capability in AI, data science, advanced analytics, or digital tooling., • Ability to turn technical designs into practical, in‑operation solutions., • Confident leading teams and managing stakeholders across technical and non‑technical backgrounds., • Skilled at communicating complex ideas simply and clearly., • A hands‑on, client‑centric approach with a focus on delivering measurable outcomes., • Comfortable working on‑site with clients to drive change in real time. What They Offer • Clear progression pathways with structured development support., • Exposure to high‑impact projects across diverse sectors., • A collaborative digital community with access to the latest technologies. How to Apply If you are excited by the opportunity to deliver meaningful, data‑driven impact, please apply with your CV.

Senior ML Engineer: Up to 115k Xcede is partnering with one of Europe’s leading applied AI organisations. The company collaborates with governments and major enterprises to address complex, high-impact challenges using machine learning and advanced data science techniques. One of the standout aspects of this organisation is its reputation as a tech unicorn valued at over £1bn, recognised for delivering safe and practical AI solutions at scale. They are currently looking to bring in Senior Machine Learning Engineers to join their Financial Services unit. The ideal candidate will have experience working as an ML Engineer with Large Language Models (LLMs), particularly across the application, deployment, and productionisation of ML systems in financial environments. In this role you will: • Design and deploy machine learning systems that operate in real-world production environments, • Build scalable ML tooling and infrastructure to support the efficient development, testing, and deployment of models, • Collaborate closely with data scientists, engineers, and business stakeholders to tackle key client challenges, • Contribute to technical architecture decisions, ensuring ML systems are scalable, reliable, and effective, • Establish and promote best practices for deploying ML systems at scale, • Act as a technical advisor for clients and partners, translating complex ML concepts into practical solutions Requirements: • Strong understanding of the end-to-end machine learning lifecycle, • Strong Python programming skills, • Experience working with cloud infrastructure such as AWS, • Hands-on experience with Docker and Kubernetes for scalable deployments, • Solid grounding in machine learning concepts, statistics, and probability, • Ability to communicate effectively with both technical and non-technical stakeholders, • Comfortable working in fast-paced environments with ownership over delivering solutions If you are interested in this or other ML Engineering positions, please contact Gilad Sabari @ | 02074226861

Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. We are looking for the Senior Perception Engineer - Spatial Understanding & Navigation to join our team based in London, UK. What You'll Do • Develop next-generation spatial understanding systems for robot locomotion and manipulation, integrating perception and high-level reasoning., • Work on open-ended navigation powered by Vision-Language-Action (VLA) models — enabling robots to understand context, predict intent, and act in complex, dynamic environments., • Design and scale auto-labeling and large-scale data pipelines to train and evaluate multimodal models for navigation and interaction., • Develop and implement scene understanding and 3D reconstruction methods that give robots persistent spatial memory and geometric awareness., • Collaborate with cross-functional research and engineering teams to bring large vision-language models into real-world robotic systems., • Stay ahead of the field — rapidly evaluate new model architectures, benchmarks, and datasets to guide our embodied AI roadmap What We're Looking For • Deep experience in machine learning for vision or embodied AI, ideally with large models (VLMs, VLAs, transformers, diffusion, or multi-modal architectures)., • Strong background in scene understanding, spatial reasoning, or 3D reconstruction from visual data., • Proficiency in PyTorch and hands-on experience building, fine-tuning, and deploying large-scale ML systems., • Strong experimental and research skills — capable of taking projects from concept to model training, evaluation, and robot integration., • Comfortable working in a fast-moving, research-driven environment with evolving models, data, and tools. What We Offer • Competitive salary plus participation in our Employee Stock Option Plan, • Paid vacation with adjustments based on your location to comply with local labor laws, • Travel opportunities to our Vancouver and Boston offices, • Private Health Insurance, • Office perks: free hot breakfasts, lunches, snacks, and regular team events, • Freedom to influence the product and own key initiatives, • Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics, • Startup culture prioritising speed, transparency, and minimal bureaucracy

JOIN OUR JOURNEY Medialab is the UK’s leading independent media agency, and one of the fastest growing in the industry. We’re a media agency that’s made differently: purpose-led, data-driven, founder-run and proudly independent. Our entrepreneurial spirit means success is recognised and rewarded. There are no limits to what you can achieve here, which our employees agree with, evidenced by being a Campaign Best Place to Work for six consecutive years and one of The Sunday Times Best Places to Work 2025. As well as this, we’re Campaign’s Independent Agency of the Year 2024 and Media Week’s Independent Agency of the Year 2025. We are IPA Effectiveness accredited, an IPA People-First agency, and All In Champions, with industry-leading work recognised by double-gold at the 2024 IPA Effectiveness Awards for our work with Laithwaites and a 2025 Effie for our work with Alzheimer’s Society. Our independence means we can focus 100% on doing the right thing to secure success for our clients and our brilliant people. We work with a wide variety of clients including Hovis, IG, Sharps Bedrooms, SunLife, Standard Life, Ancestry, Laithwaites Wine, Save the Children, Guide Dogs, Alzheimer’s Society, RNLI and Clearscore. OUR VALUES • Commit to Doing the Right Thing (Act with integrity and accountability), • Help People Flourish (Invest in people), • Dig Deeper to Understand Better (Data driven curiosity) OUR COMMITMENT TO YOU Working at Medialab comes with lots of perks including all the usual things you would expect, such as a competitive salary package, pension, season ticket loans, cycle to work scheme, weekly social events and big summer / end of year parties. On top of that, we offer extra benefits, which make life at Medialab even more rewarding: • Time to Unwind – 22 days holiday (+ Christmas holiday closure), a day off for your birthday, holiday buying scheme, flexi-hours and work abroad scheme., • Hybrid Working – Balance between home and office. (3 days in office) We welcome requests for flexible working arrangements from the commencement of employment., • Career Growth – A meritocratic approach to progression with quarterly reviews, CPD Platinum accredited training, mentoring and leadership support., • Health & Wellbeing – Private medical insurance, health cash plan, gym discounts, wellbeing apps Mental Health First Aiders and free professional counselling., • Supporting Families – Enhanced parental leave pay, flexible working and life assurance., • Giving Back – Paid charity days and sustainability initiatives., • Perks & Rewards – Retail discounts, long-service trips and an unforgettable team culture. YOUR NEXT CHALLENGE The Data Science Engineer is a pivotal technical role focused on supporting the development of specialised software and tools that enable our Marketing Effectiveness team to deliver data driven insights to our clients. Sitting at the intersection of Data Science and Engineering within the Apollo Innovation team, this role helps drive the transition from manual workflows to automated, production-ready systems. Beyond the hands-on improvement and maintenance of our existing tools to guarantee operational stability, you will have the opportunity to contribute directly to our R&D. You will drive innovation by using your technical experience to develop in-house capabilities and solutions that directly enhance our Marketing Effectiveness proposition. HOW YOU WILL MAKE AN IMPACT • Maintain and enhance core Python modelling tools for the Marketing Effectiveness team., • Manage the migration of manual workflows into automated, production-ready software., • Develop in-house technical solutions that directly enhance the agency’s Marketing Effectiveness proposition., • Provide technical support, diagnosing and resolving complex bugs in tools and innovation products., • Liaise with analytical stakeholders to ensure technical builds directly solve domain-specific problems (MMM/Econometrics)., • Responsible for the configuration and accuracy of innovation products used in client delivery., • Produce comprehensive technical documentation and advocates for the adoption and delivery of new tools and features to the team, ensuring all system architectures are transparent, maintainable, and clearly understood., • Actively mentor Junior Engineers, providing guidance and participate in peer code reviews to ensure team-wide quality. WHAT YOU WILL BRING TO THE TEAM MUST HAVE SKILLS • Strong Python engineering skills, writing clean, modular, and production-ready code., • Data science experience, applying machine learning and statistical models for Marketing Mix Modelling (MMM) and Econometrics., • Excellent communication skills, able to explain complex concepts to both technical and non-technical audiences., • Strong command of software development fundamentals, including version control (Git) and agile methodologies., • Proficiency in SQL for robust data extraction, manipulation, and analysis., • An academic background in a relevant field such as Computer Science or Data Science. NICE TO HAVE SKILLS • Familiarity with cloud platforms, specifically GCP (Google Cloud Platform)., • Highly capable with Microsoft Excel and the wider MS Office suite, including experience with VBA., • An understanding of deployment practices and CI/CD concepts.

Based in Hammersmith [onsite 5 days] Who Are We Hansen Technologies is a leading global provider of software and services that enable organisations to transform customer experiences and streamline critical business processes. With a rich history of innovation and a footprint that spans over 80 countries, Hansen empowers utilities, energy, and communications companies to thrive in an ever-evolving digital landscape. Our commitment to excellence, customer focus, and collaborative culture makes Hansen a place where passionate professionals can make a meaningful impact, drive real change, and help shape the future of industries worldwide. We are proud to be an equal opportunities employer. Hansen prides itself on celebrating diversity and is committed to creating an inclusive environment for all employees, even extending this to how we work with our customers, partners, and suppliers. We welcome applications from all qualified candidates, regardless of age, disability, gender identity or expression, marital status, race, ethnicity, religion or belief, sexual orientation, or any other protected characteristic. If you require any adjustments or accommodation during the recruitment process, please let us know. Why This Role Matters Ignite, Innovate, Impact. As an AI Engineer in the AI Spark team - a focused, high‑impact product innovation team responsible for accelerating the adoption of AI‑driven capabilities across Hansen products, you will play a pivotal role in defining the next generation of Hansen’s AI‑powered product experiences. Your work won’t stay on paper — it will go directly into the hands of users around the world. This is a role for builders: • People who love shaping raw ideas into product-ready AI features, • Engineers who thrive in experimental, high‑energy environments, • Innovators who want to influence the future of AI in global industries You’ll help drive new revenue streams, explore novel AI capabilities, and bring transformational technology to life. What You’ll Do AI Solution Design & Architecture • Develop advanced AI prototypes using multi‑cloud platforms and large language models., • Build secure, scalable architectures that integrate into enterprise product environments., • Collaborate with engineers and data scientists to implement and optimise AI agents and workflows., • Translate customer and product requirements into clear designs and engineering plans., • Conduct workshops and co‑innovation sessions to gather feedback and validate solutions., • Promote AI‑driven innovation by showcasing practical use cases and emerging capabilities., • Identify high‑value AI opportunities with product and stakeholders., • Serve as a subject matter expert on AI best practices, architecture, and implementation., • Measure the impact of AI features and use insights to drive continuous improvement. What You Bring • Expertise in cloud platforms (AWS, Azure, GCP) and multi-cloud integration., • Deep understanding of large language models, machine learning frameworks, and AI architectures., • Proficiency in programming languages (Python, Java, C#)., • Strong analytical and problem-solving skills for complex system design., • Experience with DevOps practices and deploying scalable AI services., • Excellent communication and collaboration skills for cross-functional engagement., • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field., • 1+ years of experience in AI engineering (in-house or consulting)., • Strategic mindset with ability to turn vision into actionable steps. Benefits and Perks Join us for a rewarding career with competitive compensation, leave entitlements, health coverage, and financial security. Enjoy work-life balance, growth, and recognition for your exceptional performance. Our team will unveil the intricacies of our benefit package during the selection process.

My client, undoubtedly one of the most exciting start-ups in the AI + Semiconductor space is looking for a Principal Analog Verification Engineer to join their team in Oxford. This role could also be based fully remotely, plus a superb salary. If you’re looking to do something completely different and really make an impact, read on. With substantial financial backing and a strong roadmap ahead of them, my client has the potential to completely transform semiconductor development. With a machine learning group already in place, they are now building a new analog team and seek an experienced Analog IC engineer with the desire and capability to shape and grow this new group. As the Senior / Principal Analog Verification Engineer you will be tasked with driving the creation of a machine-learning analog verification flow, creating and simulating transistor level circuits, as well as debugging and rectifying simulation and modelling issues. Our client is aiming to build a strong team, and so you will be key in helping to identify, recruit and mentor future Analog Verification Engineers. The key essentials are: • A BSc / MSc / PhD qualification within Electronic Engineering or similar, • Extensive industry experience within either Analog IC Design or Analog Verification, • A strong handle on Verilog-A (SystemVerilog would be an added bonus), • A background working within the power management space I’m looking for a great communicator who is excited to roll up their sleeves and help shape this fast-growing startup. An exceptional salary is on offer for the right candidate – my client can hire at Senior or Principal level. If this sounds like you, get in touch! Contact Caroline Pye @ IC Resources.

💼 𝐑𝐨𝐥𝐞 - Research ML Engineer 📌 𝐋𝐨𝐜𝐚𝐭𝐢𝐨𝐧 - London, 2 days per week 💸 𝐒𝐚𝐥𝐚𝐫𝐲 - up to £160K plus equity 🏢 𝐃𝐨𝐦𝐚𝐢𝐧 - Developer Tooling I'm working with a start-up who are building fully autonomous coding agents, their product can understand systems context and, with minimal human input, write code. They are in the process of raising their Series A and are a team of 20 with experience from companies like; Google DeepMind, Spotify, Sourcegraph & Meta. What We Are Looking For • 5+ years of industry or academic experience as a Machine Learning Engineer, Applied Scientist, or Research Scientist., • Search & Retrieval: Deep experience designing and scaling state-of-the-art systems (e.g., multi-stage retrieval, dense retrieval, novel indexing)., • Reinforcement Learning & Reasoning: Deep expertise in applying RL to complex tasks, agent-based modeling, or automated planning.

Job Title: AI Solution Engineer ( Project Manager ) Location: Hybrid (UK) Work Type : Permanent Overview: TekWissen is a global workforce management provider throughout the UK, Europe and many other countries in the world. Client is a leading global professional services network operating in over 150 countries, offering assurance, consulting, and tax advisory services. The firm helps clients address complex business challenges, manage risks, and drive transformation through technology and innovation. It is recognized for its strong ethical standards, industry expertise, and commitment to building trust and sustainable growth. Job Description: • We are looking for an experienced AI Solution Engineer to act as the link between client’s industry architects, who identify AI business cases, and the firm’s development capabilities., • This role shapes AI solutions, meets client needs, and delivers measurable business value and technically feasible solutions., • The AI Solution Engineer is a key technical resource responsible for selecting, designing, demonstrating, and delivering prototype solutions that align with customer needs and business goals during early engagement., • As a trusted advisor, the Solution Engineer has a strong mix of technical expertise, problem-solving skills, and business acumen to effectively create cloud prototypes to demonstrate and communicate the value of solutions to both technical and non-technical stakeholders., • They provide experience in identifying viable and feasible AI solutions to address specific client issues and demonstrate client’s technical capability as part of proposals., • They demonstrate extensive knowledge of hyperscaler AI offerings, understanding all of the technical requirements and dependencies of a product/solution and explaining them to potential clients What your days will look like • Primarily sales-oriented, this role is focused on supporting the sales process by bridging the gap between technical teams and non-technical salespeople., • The role helps sales teams select and prospects understand the AI/ML solution, demonstrates how it solves their business problems, and assists in demonstrating AI technical excellence to the client in the early sales process This role is for you if you have • Extensive experience working with sales teams and shaping viable and feasible software solutions as part of process change for enterprise customers, • AI Model Architecture – Evidenced expertise in LLMs, SLMs, (Large Language Models/Small Language Models) performance, suitability, training requirements, and deployment, • Cloud & Hyperscalers – Practical experience with at least two of the following is required: AWS Bedrock/Sagemaker, Google Vertex AI, OpenAI and Azure ML is required, • An understanding of underlying statistics, machine learning and data science, data engineering and big data concepts is required, • An understanding of the process and data complexities and prerequisites, and success criteria needed to deliver a solution that meets user and business needs, • Cloud Security & FinOps – Knowledge of landing zones, security, and AI cost optimisation What you’ll receive from us • No matter where you may be in your career or personal life, our benefits are designed to add value and support, recognising and rewarding you fairly for your contributions., • We offer a range of benefits including empowered flexibility and a working week split between office, home and client site; private medical cover and 24/7 access to a qualified virtual GP; six volunteering days a year and much more. Required Skills Optional Skills

About Us At Tightly, we empower e-commerce and retail brands to master their inventory. We provide cutting-edge AI-driven demand forecasting, intelligent replenishment, and operational workflow solutions that help businesses optimize stock levels, prevent costly stockouts and overstocks, and significantly improve their supply chain efficiency and profitability. Our platform unifies critical data points – from real-time GA4 demand signals to intricate inventory metrics and supplier relationships – transforming complex data into clear, actionable insights. Our solutions address core challenges like ghost revenue from out-of-stock bestsellers, capital tied up in dead stock, missed opportunities from hidden gems, and inefficient procurement processes. We partner with fast-growing brands, empowering operations, sales, and purchasing teams to move with speed and precision, driving measurable ROI through smarter inventory decisions. Position Summary The Senior Sales Engineer (SSE) at Tightly is a pivotal pre-sales role responsible for driving revenue growth within an assigned territory by providing deep technical and solution expertise. This quota-carrying role focuses on partnering with experienced Account Executives to develop complex opportunities, architect tailored solutions, and close high-value strategic sales of our advanced inventory optimization and supply chain workflow platform. The SSE acts as a trusted technical advisor, engaging C-level executives, operations leaders, and data science teams to demonstrate how Tightly’s platform directly addresses their most pressing inventory challenges. Success in this role requires a profound understanding of inventory management principles, exceptional demonstration skills, the ability to translate complex technical capabilities into business value, and a disciplined approach to supporting the sales cycle from discovery to close. Essential Functions Revenue & Pipeline Management Support • Partner closely with Account Executives to meet or exceed assigned sales quotas within the territory., • Provide expert technical support to build and advance a strong pipeline of qualified opportunities., • Contribute to accurate revenue forecasting by providing technical insights into deal progression and solution fit., • Lead in-depth customer discovery sessions to uncover sophisticated inventory management processes, specific pain points (e.g., impact of market shifts on demand, multi-source replenishment), and technical requirements for integration (e.g., GA4, ERPs)., • Architect and present comprehensive Tightly solutions, demonstrating how our Demand Signals, Supply Order Pipeline, Supplier Workspace, and Bundle Management features address the customer's unique business needs., • Conduct compelling, tailored product demonstrations that highlight Tightly’s differentiators in demand forecasting accuracy, operational efficiency, and capital optimization., • Build and nurture trusted advisor relationships with senior technical and business stakeholders across operations, supply chain, finance, and IT., • Identify and expand opportunities within strategic accounts by proactively showcasing Tightly's evolving capabilities and deeper integration potential., • Serve as a domain expert on inventory optimization, demand forecasting methodologies, and e-commerce supply chain best practices., • Lead technical discussions, address objections, and manage complex solution configurations during the sales process., • Coordinate and execute proof-of-concept evaluations, pilots, and data deep dives with customers, working with Tightly's product, engineering, and data teams., • Respond comprehensively to RFIs, RFPs, and security questionnaires, ensuring Tightly's technical capabilities are accurately and compellingly articulated., • Participate in industry conferences, technical seminars, and customer events as a Tightly subject matter expert., • Collaborate closely with Product Management and Engineering, providing crucial market feedback and customer requirements to inform product roadmap development., • Maintain detailed records of technical solutions presented, architectural decisions, and competitive intelligence within the CRM. Knowledge, Skills, and Abilities • Deep expertise in inventory management, demand planning, supply chain optimization, or e-commerce operations., • Proven success selling complex SaaS solutions to enterprise-level clients., • Exceptional presentation, communication, and interpersonal skills, with the ability to articulate technical concepts to both technical and non-technical audiences, including C-level executives., • Strategic approach to understanding business challenges and mapping them to solution capabilities., • Highly comfortable discussing data analytics, forecasting methodologies (e.g., GA4 integration), and API capabilities with IT teams., • Strong understanding of machine learning models and their application in demand forecasting and optimization., • Proactive problem-solver with a strong ability to diagnose customer needs and propose effective solutions., • Bachelor’s degree in a STEM field (Science, Technology, Engineering, Mathematics), Computer Science, or equivalent practical experience. Master's degree preferred., • 5+ years of B2B pre-sales / sales engineering experience in SaaS, supply chain technology, e-commerce platforms, or business intelligence specifically focused on inventory or demand., • Proven track record of supporting and closing significant, complex software deals, consistently exceeding technical contribution goals., • Experience architecting and demonstrating solutions that drive quantifiable business outcomes for customers., • Prior experience with Tightly's core focus areas: demand forecasting, replenishment planning, multi-warehouse inventory, and supplier collaboration., • Familiarity with major e-commerce platforms (Shopify, Magento, Salesforce Commerce Cloud) and ERP systems., • Strong understanding of key inventory metrics (e.g., forecast accuracy, days of cover, GMROI, sell-through rate) and their business impact., • Experience working directly with data analytics and business intelligence tools., • Certifications in supply chain management (e.g., APICS CSCP, CPIM). Work Location: In-person/Remote (Hybrid options available depending on location and role requirements)

Senior Data Engineer Location: London (Hybrid) Function: Data Engineering / Data Platform Salary: Up to £140,000 base + bonus + benefits About the Role Our client is a global commodities and energy trading firm operating at the intersection of quantitative research, technology, and trading. Following the recent acquisition of a major energy trading and technology business, the firm has significantly expanded its capabilities in renewable power optimisation, analytics, and physical gas trading across international markets. They are now hiring a Senior Data Engineer to join their Technology Data, AI & UX team in London. This team sits close to the trading floor and is responsible for building the data infrastructure that supports traders, quantitative researchers, and data scientists. The work focuses on building scalable pipelines, enabling real-time analytics, and delivering high-quality datasets used for predictive modelling, machine learning, and systematic trading strategies. This role requires someone who combines strong technical data engineering capability with commercial awareness, capable of working directly with front-office stakeholders and translating trading requirements into robust data solutions. What You’ll Be Doing • Building and maintaining high-performance data pipelines ingesting structured and unstructured datasets from a variety of internal and external sources., • Developing ingestion processes including scrapers, ETL pipelines, crawlers, streaming jobs, and services., • Cleaning, transforming, and enriching datasets to ensure high quality and usability across analytics and trading use cases., • Designing storage solutions across data lakes, databases, and analytical warehouses., • Delivering data internally via APIs, Python libraries, and direct database access., • Maintaining and optimising existing pipelines and databases used by trading and analytics teams., • Supporting data scientists and quantitative teams by enabling access to cloud resources, datasets, and internal Python tooling., • Contributing to the automation of post-processing tasks including prediction pipelines and visualisation workflows., • Collaborating directly with traders and front-office teams to develop data solutions for real-time analytics and trading decisions., • Maintaining documentation and knowledge bases around data sources, architecture, and pipelines. Ideal Background The successful candidate will bring strong hands-on data engineering experience and the ability to operate in a front-office, commercially focused environment. Core experience required: • Strong Python development, particularly for data ingestion, crawling, parsing, and transformation., • Extensive experience working with SQL and analytical databases, ideally including Amazon Redshift or similar time-series platforms., • Experience building production data pipelines in AWS cloud environments., • Familiarity with Docker containers and CI/CD pipelines., • Experience with Infrastructure as Code and deployment tooling such as CloudFormation or CDK., • Strong understanding of data pipeline design, performance optimisation, and data quality practices., • Experience working directly with front-office stakeholders such as traders, quants, or analysts., • Exposure to commodities, energy trading, or financial markets., • Experience supporting real-time or near-real-time analytics environments., • Knowledge of additional AWS services such as S3, Lambda, Athena, Kinesis, EMR, Fargate, or API Gateway., • Experience with big data technologies including Spark, Databricks, Hadoop, or Dask., • Familiarity with data visualisation tooling such as Plotly., • Experience mentoring junior engineers or leading technical initiatives. What You’ll Receive • Base salary up to £140,000 depending on experience., • Participation in a performance-based discretionary bonus scheme., • 25 days annual leave plus public holidays., • Comprehensive benefits including private medical, dental, life insurance, and strong pension contributions., • Access to training and development programmes to support ongoing technical growth., • The opportunity to work in a high-performing trading environment where technology directly impacts market decisions. Who Should Apply This role will suit a senior data engineer who enjoys operating close to the business, particularly in environments where data directly influences trading or commercial outcomes. Candidates coming from financial services, trading firms, hedge funds, energy markets, or high-performance data platforms will likely transition most easily, though strong engineers from other real-time data environments will also be considered. If you are looking to work on complex data challenges, collaborate with front-office teams, and build systems that power real-world trading decisions, this is a strong opportunity.

GCP Data Engineer Job Summary: We are seeking a highly motivated and experienced GCP Data Engineer to join our growing team. The ideal candidate will be responsible for designing, developing, and maintaining scalable and robust data pipelines and architectures on Google Cloud Platform. You will work closely with data scientists, analysts, and other stakeholders to ensure data availability, quality, and usability, contributing to our data-driven initiatives. Required Qualifications: • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related quantitative field., • Proven experience (typically 5+ years) as a Data Engineer, with a strong focus on Google Cloud Platform., • In-depth knowledge and hands-on experience with core GCP data services such as:, • BigQuery: For data warehousing, querying, and analytics., • Cloud Dataflow: For batch and stream data processing., • Cloud Pub/Sub: For real-time messaging and event ingestion., • Cloud Storage: For scalable and durable object storage., • Cloud Composer (Apache Airflow): For workflow orchestration and pipeline management., • Cloud Dataproc: For managed Hadoop and Spark clusters (good to have)., • Cloud SQL/Cloud Spanner/Cloud Bigtable: Experience with relational and NoSQL databases., • Strong proficiency in SQL for data manipulation, querying, and optimization., • Expertise in at least one programming language commonly used in data engineering, preferably Python. Scala or Java is a plus., • Solid understanding of data warehousing concepts, data modeling techniques (dimensional modeling, Kimball, Inmon), and ETL/ELT processes., • Experience with version control systems (e.g., Git)., • Strong analytical, problem-solving, and debugging skills., • Excellent communication and collaboration skills, with the ability to work effectively in a team environment. Preferred Qualifications: • Google Cloud Professional Data Engineer certification., • Experience with data visualization tools (e.g., Looker, Tableau, Power BI)., • Familiarity with CI/CD pipelines for data engineering workflows., • Knowledge of data governance frameworks and tools., • Experience with real-time data processing and streaming architectures., • Basic understanding of machine learning concepts and how to operationalize ML models.

Inside IR35 contract | 3-6 month 1-2 days onsite requirement London or Birmingham We are seeking an experienced MLOps Engineer with a strong background in DevOps, Data Science, or Machine Learning Engineering, who has hands-on experience productionising ML models. The focus of the role is building and enabling production-grade ML environments rather than model development itself. Candidates must have deep MLflow experience and proven delivery in real-world client settings. Key Responsibilities • Design, build, and maintain end-to-end MLOps environments to support model training, tracking, deployment, and monitoring, • Implement MLflow for: Experiment tracking; Model registry; Model versioning and lifecycle management, • Enable model deployment into production (batch and/or real-time) with robust CI/CD, • Work closely with Data Scientists to transition models from experimentation to production, • Build scalable, secure, and reproducible ML platforms, • Establish best practices around: Model governance; Monitoring and retraining; Environment management, • Integrate with cloud and data platforms such as Databricks, and potentially AWS SageMaker Essential Experience • Strong MLOps background, not just theoretical knowledge, • Extensive hands-on MLflow experience (non-negotiable), • Demonstrable experience productionising ML models for at least 2–3 client engagements, • Background in one or more of: DevOps; Data Science / Machine Learning Engineering; Data Engineering (not required, but acceptable if MLOps-led), • Experience designing and supporting ML platforms in production environments Technical Skills (Required / Highly Desirable) • MLflow, • Databricks, • Cloud platforms (AWS preferred; SageMaker experience a plus), • CI/CD for ML (e.g. GitHub Actions, GitLab CI, Azure DevOps, etc.), • Containerisation and orchestration (Docker, Kubernetes), • Infrastructure as Code (Terraform or similar), • Python-centric ML workflows Sponsorship not available for this role.

Machine Learning Engineer – Neural Network R&D London | Hybrid | £130,000 Most ML roles use models. This one builds them. You’ll be working on fundamental neural network development — taking architectures off the shelf and making them faster, more efficient, or entirely rethinking how they work. This is deep, technical work: Improving performance of neural networks at architecture level Developing and experimenting with novel approaches (e.g. spiking neural networks) Pushing models closer to real-world deployment constraints The work sits within advanced AI programmes being applied to autonomous systems and defence environments - where performance actually matters. They’re looking for someone who: * • Has built or significantly improved neural network architectures, • Strong experience with PyTorch / TensorFlow, • Deep understanding of deep learning fundamentals (not just using libraries), • Can demonstrate research or advanced development work London (hybrid) Eligible for SC/DV If you’ve gone beyond just “using models” and into actually improving how they work — this is your kind of role.

Backend Software Engineer (Python/Django) About the role: We are working with an early-stage, AI-driven technology company building advanced platforms that leverage machine learning, NLP and large language models to solve complex research and data problems. The team is focused on developing scalable, intelligent systems, increasingly incorporating LLM-powered and agentic workflows to automate sophisticated tasks. As one of the early engineering hires, you will play a key role in building and scaling the core platform, working closely with the CTO and senior engineers to design, develop and deploy new features. This is a hands-on role with real ownership and impact on product direction. Requirements • 2+ years of commercial software engineering experience, • Strong Python web development experience (essential), • Solid experience with Django (or similar Python web frameworks, Django preferred), • Experience building and maintaining production web applications (not just data science scripts), • Experience with Docker and containerised applications, • Experience working with relational databases (e.g. PostgreSQL), • Good understanding of API design and backend architecture, • Proficiency with Git, • Willingness to work 2 days per week onsite in London Nice to have • Exposure to NLP or search systems (e.g. semantic search), • Experience working with LLMs or generative AI, • Frontend experience (e.g. React), • Experience with Elasticsearch or OpenSearch, • Experience with AWS or similar cloud platforms Benefits • Flexible working, • Pension contributions, • Training & development, • Stock option plan, • Work from home budget

Machine Learning Engineer – Edge Deployment / Integration Remote (UK) | Client Travel Building models is one thing. Getting them to run reliably on real hardware is where it gets interesting. You’ll take advanced ML models and make them work in constrained, real-world environments — often on edge devices where compute, power and latency are all limited. This is applied ML engineering: Deploying models onto embedded / edge hardware Optimising inference (TensorRT, quantisation, compression) Working closely with customers to integrate into real systems The work is hands-on, varied and close to deployment — not stuck in experimentation. You’ll likely bring: Strong experience with PyTorch / TensorFlow Experience deploying models to edge or hardware-constrained systems Familiarity with tools like TensorRT or similar optimisation frameworks Ability to work with customers and adapt solutions to real-world constraints Remote (UK) + client site work Eligible for SC/DV If you enjoy making ML actually work outside of ideal environments - this is worth a look.