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Undertaking detailed energy audits and energy engineering, and conceptual. Energy engineering or applied science degree (MSc preferred). Experience in undertaking technical energy audits within Industrial and Commercial sectors.

You’ll take ownership of the Data and Data Science roadmap, shaping strategy and delivering high-impact initiatives across data pipelines, ETL, and applied data science. Product Manager with a strong data background. Must have worked closely with Data Engineers and Data Scientists to deliver produ

Series A BioTech | £11M Raised | Precision Medicine & Proteomics 💰 Salary: £60,000 – £80,000 + Equity Options About the Company We’re partnered with a Series A BioTech startup that has recently raised £11M to accelerate the development of its breakthrough proteomics platform. By integrating proprietary technology with advanced mass spectrometry and computational analytics, the company is pioneering a new era of biomarker discovery — delivering diagnostic, prognostic, and treatment insights that enable precision medicine at scale. Their platform is already being applied in clinical trials and drug discovery programs across neurodegeneration, oncology, and metabolic disease. Backed by leading venture funds and advisors from world-class academic institutions, they’re building a science-first, data-driven culture dedicated to transforming patient outcomes. The Role As a Senior Bioinformatician, you’ll be at the centre of the company’s data and discovery efforts — analysing, visualising, and interpreting complex proteomics datasets to uncover insights that drive both internal R&D and external collaborations. Reporting directly to the CSO, you’ll develop and automate analytical workflows, build statistical models linking proteomic data to biological and clinical outcomes, and play a key role in scaling the company’s computational capabilities as it grows. This role is ideal for a bioinformatician who wants to combine deep technical expertise with strategic impact — helping shape the future of data-driven biotech. Key Responsibilities • Analyse, visualise, and interpret large-scale proteomics datasets from LC-MS platforms (DIA, DDA, TMT, MRM)., • Apply statistical and machine learning methods (PCA, PLS-DA, regression models, volcano plots) to extract actionable insights., • Build models linking proteomic data to clinical and phenotypic outcomes., • Integrate experimental data with public databases to identify novel biomarkers and biological pathways., • Produce publication-quality reports, figures, and visualisations for internal teams, collaborators, and publications., • Automate and streamline data processing workflows (Python, R)., • Collaborate cross-functionally with wet-lab scientists, leadership, and pharma partners to ensure timely project delivery., • Communicate findings clearly to both technical and non-technical audiences. Why Join? 🌍 Scientific Impact – Your work will directly accelerate drug development and enable more personalised therapies. 📈 Career Growth – As a Series A company, responsibilities and opportunities will grow fast alongside the business. ⚙️ Autonomy & Ownership – You’ll help define the bioinformatics strategy and shape how data drives decisions. 🤝 Collaborative Culture – Work in a dynamic, science-driven environment with global partners and minimal bureaucracy. 💡 Rewards – Competitive salary, meaningful equity, and flexibility (remote/hybrid). Qualifications & Experience • PhD (or equivalent) in Bioinformatics, Computational Biology, Biostatistics, or a related field., • Strong experience in proteomics data analysis and visualisation., • Proven ability in statistical modelling and handling complex biological datasets., • Skilled in Python or R for data analysis and workflow automation., • Strong communicator — capable of presenting complex insights to non-technical audiences. Preferred Qualities • Thrives in a fast-paced, collaborative startup environment., • Excellent organisational and project management skills., • Creative problem-solver with a passion for data-driven discovery., • Motivated by meaningful science and improving human health. If this sounds like you, you'll fit right in. To Note: We regularly share career opportunities, company news, and insights on our LinkedIn page — feel free to follow us and stay in the loop.

🚀 Senior Agentic AI Engineer 🚀 Level: Associate Director Location: Remote-first, with occasional travel for client delivery Compensation: Competitive salary + bonus + benefits Why This Role? This is not “just another AI job.” We’re seeking engineers who can design and deploy agentic AI systems from the ground up — moving beyond demos into robust production systems. You’ll work directly with enterprise and public sector organisations, taking projects from PoC through to mission-critical deployments serving 100s–1000s of users. What You’ll Do • Design agentic systems – Own the agent loop (plan → act → reflect), orchestration (DAG/state machine), and memory management., • Build robust tooling – Create schemas, retries, rate limits, and SDKs for safe extensibility., • Engineer memory & knowledge services – Implement episodic/semantic memory, retrieval APIs, deduping, and summarisation agents., • Productionise at scale – Deploy containerised systems (K8s, serverless, GPU pools), implement CI/CD, observability, and auto-scaling., • Ensure robustness – Apply guardrails, cost/latency budgets, checkpointing, and critic/reviewer patterns., • Evaluate rigorously – Build automated evaluation harnesses, use golden sets, retriever validation, and drift monitoring., • Engage stakeholders – Run workshops, roadmap sessions, and maturity assessments, translating complex AI concepts into actionable strategies. What We’re Looking For Required: • Proven track record building and deploying LLM/agentic systems into production., • Strong software engineering foundations: orchestration, memory, deployment, monitoring., • Familiarity with agentic architectures (e.g. LangGraph, ReAct, CoT loops) and/or ability to build without frameworks., • Confident in client-facing settings: workshops, presentations, advisory roles. Preferred: • Advanced degree in AI, Computer Science, or related field., • Experience with PyTorch/TensorFlow, vector databases, RAG, and orchestration tools., • Background in start-ups (hands-on generalist) or consultancies (client-facing)., • Exposure to regulated industries., • Independent, entrepreneurial mindset; comfortable working with autonomy. Why Join? • Impact: Deliver production-ready agentic AI systems in real-world environments., • Innovation: Work on orchestration and deployment challenges that go beyond “glue code.”, • Reach: Remote-first role with opportunities for international collaboration., • Growth: Influence the direction of enterprise AI adoption and contribute to the wider AI ecosystem., • Culture: Join a fast-moving team operating at the frontier of applied AI. Agentic AI, Multi-Agent Systems, LLM Deployment, LangGraph, LangChain, RAG, AI Orchestration, AI Consultant, Software Engineering for AI, AI Productionisation, Autonomous AI Systems, AI Architect, AI Careers, AI Jobs Remote.

We are looking for a mathematician with an advanced degree to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model. In this role you will need to hold an expert level of mathematical reasoning- a completed or in progress Masters/PhD is preferred but not required. Other related fields include, but are not limited to: Applied Math and/or Computer Science. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Give AI chatbots diverse and complex mathematics problems and evaluate their outputs, • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/ deductive reasoning

We are looking for exceptional scientists to join our Applied Science team and help develop the next generation of edge models, and optimize them while doing co-designed with custom ML HW based on a revolutionary architecture. Collaborate closely with compiler engineers, fellow Applied Scientists, H

The European Institute of Applied Science and Management (EIASM) is pleased to announce that we have recently become CPD (Certified Professional Development, UK) members.