Phd jobs in United Kingdom

Head of AI Logistics Company (Up to £180,000 per annum + Equity) London (3 days per week in office) La Fosse has partnered with an ambitious AI-driven logistics company that’s redefining how supply chains operate. They are seeking a Head of AI to lead the next stage of their technical innovation. This is a hands-on leadership role where you’ll define the AI vision, drive research and production initiatives, and deliver intelligent systems that create measurable impact across logistics operations. What you’ll be doing: • Lead the design and deployment of next-generation AI systems across Generative AI, Computer Vision, Forecasting, and Optimisation., • Build and lead a world-class team of data scientists and ML engineers, setting technical direction and best practices across the company., • Oversee the full AI lifecycle from experimentation and model development to robust ML deployment on Azure., • Explore cutting-edge approaches in foundation models, agentic AI, and multimodal learning to enhance decision-making and automation., • Translate complex research into tangible business outcomes, driving measurable value and competitive advantage. About you: • Proven track record leading AI or data science teams in production supply chain or logistics environments., • Deep expertise in Computer Vision and Generative AI, with strong understanding of modern ML architectures, model training, and deployment techniques., • 7+ years’ experience in applied ML, data science, or AI, including senior or leadership roles., • Expert in Python, proficient with frameworks such as PyTorch, TensorFlow, FastAI, and experience with scikit-learn, MLflow, or ONNX., • Solid engineering background—experienced in deploying and maintaining ML systems on Azure, including Azure Machine Learning, Azure Functions, Databricks, Docker, and Kubernetes., • Experience with real-time data pipelines and streaming data using tools such as Kafka or Azure Event Hubs is a plus., • Advanced degree (Master’s or PhD) in Computer Science, Machine Learning, or a related technical field., • Strategic and hands-on, equally comfortable setting vision and writing code when needed. If you’re ready to lead the future of AI in logistics, La Fosse would love to hear from you. Apply now and help shape the intelligence behind the next generation of supply chain operations.

Lead AI/ML Engineer – Computer Vision & GenAI London, UK | Hybrid We’re supporting a high-growth technology business at the forefront of AI innovation in sport and human performance. They’re looking for a Lead AI/ML Engineer to take ownership of their applied machine learning function, with a strong focus on computer vision, automation, and generative AI. This is a hands-on leadership role, ideal for someone who wants to combine technical expertise with team management and drive the strategy for applied AI/ML across a product suite that’s already impacting users worldwide. There’s clear scope for progression as the company scales, you could evolve into a Head of AI or senior leadership position, shaping the long-term direction of their applied AI and research strategy. The role • Lead the development of computer vision models (2D/3D pose estimation, video analysis, biomechanics)., • Apply Generative AI techniques (synthetic data, video generation, code generation, intelligent agents) to improve automation, scale, and personalisation., • Manage and mentor a small, specialist team., • Define the AI/ML innovation strategy across core products., • Build ML pipelines for large-scale video processing across edge and cloud., • Ensure robustness, accuracy, and real-time performance of deployed models., • Keep pace with emerging research and technologies, bringing new ideas into production., • Partner with domain experts to translate biomechanical data into actionable insights. What we’re looking for • Strong background in computer vision and video-based deep learning, (ideally pose estimation, biomechanics or human movement), • Proven technical leadership experience, ideally with direct reports., • Track record of deploying ML models into production environments., • Hands-on skills with TensorFlow, PyTorch, OpenCV, and Python ML frameworks., • Excellent communication skills and ability to work cross-functionally. Desirable • MSc/PhD in Machine Learning, Computer Vision, or related field., • Knowledge of Generative AI models (GANs, diffusion, LLMs)., • Experience with MLOps and lifecycle management., • Experience in startups or fast-paced R&D. Why apply? • Flexible hybrid working (London office), • A chance to shape the future of AI in sport and human performance., • Collaborative, mission-driven environment with global reach.

Chief Technology Officer (CTO) - Hands-On Back-End Developer Remote-Friendly | London HQ | Award-Winning Agricultural Technology Software Company Join an award-winning agricultural analytics software company that's redefining sustainable food production through data-driven technology. We're seeking a hands-on Chief Technology Officer (CTO) — an exceptional technical leader who thrives on both strategic vision and deep technical execution. Role Overview As CTO, you'll lead the technical direction of our cutting-edge agricultural technology platform, while remaining deeply involved in hands-on back-end development. You'll architect scalable systems, drive innovation in sustainable technology, and guide a talented engineering team to deliver data-rich solutions that improve farm economics, productivity, and environmental impact. Key Responsibilities • Lead technical strategy and oversee architecture for scalable, data-driven systems., • Remain actively hands-on, designing and developing high-performance C#/.NET back-end systems., • Mentor and guide a growing team of developers — setting technical standards and driving best practices., • Oversee end-to-end solution delivery, ensuring performance, security, and maintainability., • Collaborate cross-functionally with data scientists, agronomists, and stakeholders to shape product direction., • Own cloud infrastructure strategy and implementation on Microsoft Azure., • Lead innovation in sustainability-focused agricultural technology and analytics., • Contribute to recruitment and technical assessment (including coding challenge design and review). Candidate Assessment Process Our selection process includes a LeetCode-style technical challenge to evaluate: • Algorithmic problem-solving, • Data structures and computational efficiency, • Code quality and optimisation under time constraints Ideal Candidate Profile Academic and Professional Background Degree/Masters/PhD in Computer Science, Data Science, or a related discipline • Proven experience as a Back-End Developer / Engineering Lead / CTO in data-heavy environments, • Demonstrable history of technical excellence and leadership in commercial software development Technical Expertise • Advanced proficiency in C# / .NET Core / .NET Framework, • Strong command of Azure Cloud Services, • Deep experience with SQL Server and high-volume transactional systems, • Expertise in data architecture, performance optimisation, and scalable software design, • Solid understanding of algorithms, data structures, and computational complexity, • Bonus: Experience in FinTech or structured data environments with high reliability and scale, • Leadership SkillsVisionary mindset with a hands-on engineering ethos, • Proven ability to scale teams and systems effectively, • Strategic decision-making with practical, code-level insight, • Strong communicator and collaborator across multidisciplinary teams, • Passion for fostering innovation and mentoring engineering talent Personal Attributes • Exceptional attention to detail and analytical rigour, • Strong communication and collaboration skills, • Innovative and pragmatic problem solver, • Calm and decisive under pressure, • Genuine passion for sustainable technology and real-world impact What We Offer • Remote flexibility with a London-based HQ, • Opportunity to lead cutting-edge agricultural technology development, • Work alongside respected professionals in a purpose-driven company, • Competitive salary plus company share scheme, • Platform to make a tangible impact on global sustainability

Senior NLP Researcher - London About the Opportunity Join our client's cutting-edge AI research team as they push the boundaries of Large Language Model technology. We're seeking an experienced researcher who thrives on solving complex challenges in foundation model development and wants to make a real impact on the future of AI. What You'll Be Doing Advanced Research & Innovation • Drive breakthrough research in LLM architectures, transformer optimisation, and novel training methodologies, • Explore parameter-efficient techniques, quantisation strategies, and innovative pretraining approaches, • Pioneer developments in multi-modal AI systems and next-generation language understanding Technical Leadership & Implementation • Build and optimise large-scale training infrastructures for foundation model development, • Design robust data engineering solutions for complex multi-modal datasets, • Lead end-to-end model deployment from research prototype to production-ready systems, • Implement distributed training frameworks and inference optimisation pipelines Collaboration & Mentorship • Work closely with cross-disciplinary teams to translate research breakthroughs into practical applications, • Provide technical guidance and mentorship to junior team members, • Contribute to research culture through knowledge sharing and best practice development Essential Requirements Professional Experience • Hands-on experience in NLP, deep learning, and transformer-based architectures, • Demonstrated involvement in LLM projects including training, fine-tuning, or production deployment, • Strong track record in scalable AI system development Technical Expertise • Expert-level Python programming with deep knowledge of PyTorch, TensorFlow, or JAX, • Proven experience with distributed computing environments and modern MLOps workflows, • Practical knowledge of LLM toolkits (Hugging Face ecosystem, training frameworks), • Strong problem-solving abilities for complex model performance and infrastructure challenges Highly Valued • Advanced degree (Master's/PhD) in Computer Science, Machine Learning, or related discipline, • Research publications in leading AI/ML conferences, • Cloud platform experience (AWS, GCP, Azure) with production ML deployment, • Experience with enterprise-scale data engineering and workflow orchestration tools What Our Client Offers Competitive salary package, comprehensive private healthcare, and exceptional benefits in a collaborative research environment that prioritises innovation and professional growth.

Hello! We're looking for an awesome Engineering Lead - Optical Systems & Photonics Hardware (Healthtech, Deep tech) to join our team on our journey to revolutionize personalized medicine. About your Role 📰 • Technical & site leadership: Provide hands‑on technical direction and manage day‑to‑day engineering operations; ensure engineering goals map to company strategy and product roadmap., • Build & lead the team: Assemble, mentor, and inspire a high‑performing, multidisciplinary group across hardware, software, optics/photonics, systems, and data—fostering innovation, accountability, and resilience., • Interdisciplinary collaboration: Act as the principal technical liaison with scientists/assay developers; translate clinical and biological needs into robust engineering solutions., • Cross‑site integration: Bridge our UK and international sites - standardize practices, promote knowledge sharing, and keep priorities aligned., • Project execution & delivery: Drive programs from concept to verification/validation; define milestones, allocate resources, manage risks/RAIDs, and land reliable systems on time., • Innovation & resilience: Bring first‑hand startup experience to inform pragmatic decisions; lead through iteration cycles and setbacks with a calm, data‑driven approach., • Regulatory & quality alignment: Ensure engineering practices support ISO 13485, ISO 15189, IVDR, and UKCA expectations; partner closely with QA/RA on design controls and documentation. This role is based in London and will collaborate daily with teams in the UK and abroad. Technical / Professional Skills ✔️ • Bachelor’s or Master’s in Nanoscience, Biomedical, Optical, Electrical, Physics Engineering (or related); PhD a plus., • 6+ years leading engineering or product development, ideally in medical devices/diagnostics/life‑science instrumentation., • Proven track record building and managing multidisciplinary teams (hardware, software, data science, and life sciences) in fast‑paced environments., • Demonstrated ability to collaborate with clinical scientists/assay developers/healthcare partners., • Deep expertise in at least one core engineering area and broad fluency across optics/photonics; AI/ML exposure is a strong plus., • Exceptional communication and program leadership skills; comfortable spanning technical and non‑technical stakeholders., • Familiarity with ISO 13485, IVDR, and UKCA in product development (ISO 15189 exposure desirable)., • Startup experience (including learning from failure/recovery cycles) strongly preferred. Cultural Skills ✔️ • Builder’s mindset with high ownership, urgency, and empathy., • Low‑ego, highly collaborative leader who elevates others., • Mission‑driven and patient‑centered. iLoF in a nutshell 💡 As personalized medicine becomes the norm, scientists, patients, and healthcare systems worldwide face massive barriers in providing the right treatment to the right patient. Recognized by CB Insights and Financial Times as one of the most promising Digital Health companies in the world, iLoF is building an AI-powered platform capable of transforming precision medicine. Our goal is to become the platform that democratizes access to personalized medicine for millions of people living with complex diseases around the globe. Thanks to our proprietary optical fingerprint library of disease biomarkers and biological profiles we can offer personalized patient screening and stratification in a faster and more affordable way, saving up to 40% of the cost and 70% of the time while enabling a more human patient experience. Supported by leading institutions like Microsoft Ventures, Mayfield, and the Oxford University, iLoF is currently focusing on validating its platform technology in one of the biggest challenges of our times: Alzheimer's, while maintaining ongoing verticals on Digestive Cancer, Stroke, and Infectious diseases. Our Team 🧑🏻‍💻 We are a mix of scientists, entrepreneurs, and inventors based in Oxford and Porto, with a passion for healthcare! Recognized by CB Insights as one of the most promising Digital Health companies in the world and by the Financial Times as a Transformational Business in Healthcare, iLoF has been regularly featured in leading outlets like Tech Crunch, Wired, and Sifted and listed as a rising star in AI-Driven Drug Discovery, Health Screening & Data Analytics. What we value • A Be Kind attitude is the main guideline within iLoF, • A hand in the hammer and another free to support your co-workers as a true team player, • An honest and egoless attitude towards discussions and critics working in good faith, • The braveness to speak your heart in any situation, • Through words or actions be always sure to make a difference at any moment!, • Be proud to drive your responsibilities to success and help others do the same, embracing ownership! Perks 😉 • An exciting future with a deep-tech company selected by Financial Times and CB Insights as one of the most transformative companies in the world, • A high‑paced, flexible environment: adaptable working hours, strong remote work culture, • A stimulating atmosphere with room for creativity – fast‑paced, fun, and energetic start‑up with a friendly culture, • Weekly happy hours with amazing food and drinks, • Free coffee and snacks ☕, • Private healthcare insurance (for employees; contractor benefits to be agreed), • The opportunity to work with a world‑class, talented team – and potentially change healthcare as we know it for millions of patients living with complex diseases around the globe 🧑‍⚕️ We share a passion for being part of a mission that matters, and we are always looking for curious and collaborative people who share our values and want to be part of our journey. If that sounds like a fit for you, click the apply button and join us. You’ve read all this way but you’re missing a skill or two? No problem, it’s our job to upskill you to take your career to the next level. What we’re trying to say is, don’t be afraid to apply if you don’t tick all the boxes.

Principal Data Scientist Logistics AI Company (Up to £120,000 per annum) London (4 days per week in office) La Fosse have partnered with a ambitious AI company transforming how businesses in the logistics sector operate. La Fosse are supporting this rapidly expanding AI business in preparing for an international launch, we’re now looking for a Senior and Principal Data Scientist. What you’ll be doing: • Build, deploy, and scale machine learning systems that forecast demand, optimise staffing, and improve operational performance across thousands of venues., • Lead projects end-to-end, from data design and modelling through to validation, deployment, and monitoring., • Develop AI systems across areas such as computer vision, forecasting, optimisation, and emerging generative or agentic models., • Partner with engineers to design scalable ML pipelines, APIs, and real-time infrastructure. About you: • Background in Computer Science, Mathematics, Data Science, or AI (Master’s or PhD preferred)., • 5+ years’ experience developing and deploying ML models in production environments., • Strong Python skills, with experience in frameworks like PyTorch, TensorFlow, or Hugging Face., • Confident working in AWS or similar cloud environments (SageMaker, Lambda, Docker, etc.)., • Experienced in (or eager to explore) areas such as forecasting, optimisation, reinforcement learning, generative AI, or computer vision., • Solid engineering mindset, you know how to take models from research to production and keep them running reliably., • Curious, proactive, and excited to work in a fast-moving environment where AI drives everything we do. Ready to build AI that transforms how real-world operations run? Apply now and help shape the future of intelligent logistics.

Principal Data Scientist Up to £150,000 London (2-3 days onsite per week - client travel) Company: Join a management consultancy that has been disrupting the industry for over a decade. They work across sectors including Defence, Retail, Government, and Healthcare, delivering bespoke Data Science and Machine Learning solutions. By combining strategy, innovation, and execution, they help organizations turn bold ideas into real-world impact Responsibilities: • Own the end-to-end delivery of complex data science and machine learning projects, • Define and drive data science strategies that align with client goals and broader organizational objectives., • Develop tailored models and algorithms to solve unique client problems to deliver real business value., • Stay at the forefront of AI/ML trends and emerging technologies, identifying opportunities to apply new techniques and tools., • Support business development by contributing to proposals, pitching solutions, and identifying new areas for consultancy services. Requirements: • MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields., • Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment., • Ability to translate business problems into analytical solutions using advanced modelling techniques. Please note: This role does not offer visa sponsorship

Senior Data Scientist - BioTech - London A pioneering London-based biotech company are looking for a Senior Data Scientist to join their team. What will I be doing? • Drive breakthrough algorithm development that's never been done before. You'll be the technical powerhouse behind revolutionary nanopore technology, transforming impossibly noisy time-series data into game-changing insights for biomedical discovery., • Own the full journey from concept to production deployment:, • Collaborate with multidisciplinary teams of world-class scientists and engineers, • Make your mark on the future of proteomics - your algorithms will directly enable discoveries that could revolutionize drug development and diagnostics. What are we looking for? • PhD (or MSc + equivalent experience) in Computer Science, Data Science, Mathematics, Physics, or Bioinformatics, • 5+ years post-qualification experience tackling complex technical challenges, • Expert-level Python programming (NumPy, PyTorch/TensorFlow, SciPy, pandas), • Deep expertise in time-series and sequence modelling (RNNs, LSTMs, transformers, attention mechanisms), • Strong foundation in probabilistic models (HMMs, Bayesian inference, graphical models), • Track record of delivering impactful research or production systems What's in it for me? • Salary of £80,000 - £100,000 dependent on experience, • Work with cutting-edge nanopore technology that's literally the first of its kind, • Series A funding from prestigious investors including NATO Innovation Fund, • Team includes veterans from Oxford Nanopore and other leading biotech companies, • 4 days in office Apply now for immediate consideration!

RJC is partnered with a leading Commodities trading company that is looking to bring on a number of Strong AI Engineers in their London team. Working with large scale trade data, this is a good opportunity to work at the cutting edge of quant trading strategies and make a true impact to trading decisions. Essential Qualifications • Strong Educational background - MSc or PhD , Math, Physics, AI, or related technical field, • 5 years of commercial experience with at least 1 year working hands-on with LLMs, • Strong foundation in both AI/ML concepts and backend engineering principles, • Experience working in fast-paced environments Technical Skills • LLM & Agent Development: Hands-on experience building applications with LLMs, implementing advanced prompting techniques and workflows, • Backend Engineering: Strong in n Python and backend frameworks (e.g. FastAPI, Django, Flask); understanding of distributed systems and scalable architectures, • AI/ML Frameworks: Experience with PyTorch, Hugging Face Transformers, LangChain, or similar frameworks for building LLM applications There are multiple headcount at various seniority, so please apply to arrange an initial call

Founding AI Engineer Precision Health / AI London HQ | Hands-on | Deep Tech £140,000 to £170,000 + Significant equity MPhil or PhD in CS, Physics, Computational Biology, AI/ML or similar preferred My client is a well-funded, early-stage startup building a cutting-edge AI platform focused on improving human health. They’re now looking for a founding AI Engineer, someone who can write clean, production-grade code while also owning architecture, team growth and engineering culture. This is not a hands-off role. They need someone who enjoys building from the ground up and wants to shape both the product and the company. What they’re looking for: • A strong academic background — ideally MPhil, PhD or equivalent depth in Computer Science, Physics, Computational Biology or related fields, • 5+ years of engineering leadership, ideally including experience in AI/ML products, • A proven track record taking an idea or prototype through to a commercial launch, • Deep experience with cloud infrastructure (GCP or AWS), vector search, knowledge graphs, containers and Terraform, • A confident communicator who is credible in front of investors but still happiest when shipping code What you’ll be doing: • Lead on architecture and infrastructure, including ML pipelines and nutrient graph APIs, • Build and scale the engineering and data team over the next 12 to 18 months, • Help shape product direction and technical roadmap, • Work closely with experienced founders in a collaborative, high-trust environment This would suit someone who wants to stay hands-on while also stepping into a broader leadership role. If you're a serious builder with a research background and commercial mindset, this is one of the most ambitious technical roles in AI health right now. For an informal chat, apply with your CV or message me directly on LinkedIn.

Machine Learning Engineer 📍 London (Office-based) | 💰 Up to £120,000 + Equity | 🚀 SF & London Startup We’re partnered with a venture-backed startup operating across San Francisco and London. They’re building AI-driven products from the ground up and are now hiring a Machine Learning Engineer to join the founding team. What they’re looking for: • Top-tier university background, • PhD is nice to have., • Startup experience (ideally 0→1), • Strong foundations in ML (deep learning, NLP, or recommendation systems), • Solid Python skills, production deployment experience a plus, • Comfort working end-to-end: prototyping → scaling in production Why join? • Office-based culture in London, • Direct impact on the core product and roadmap, • Quick, streamlined interview process, • Salary up to £150k + equity, • Build alongside experienced founders and early operators with strong track records

Founding AI Engineer - Early Stage Start-Up - London Founding AI Engineer to join an early stage start-up in London with a mission to solve a real-world problem using AI. Founded by experienced entrepreneurs, backed by top-tier investors and advised by leaders in the industry, they're early but moving fast. If you have experience launching AI products, productionising machine learning models, and are looking to be part of a company’s journey from the early days, this is a rare opportunity to help shape both the product and the technical foundation from the ground up. What we’re looking for • Strong academic background: BSc, MSc or PhD in Computer Science or related STEM subjects from leading UK universities, • 3+ years of professional experience, • Strong experience working with LLMs and RAG pipelines, • Machine Learning expertise, • Fluency in Python and modern ML/AI frameworks, • Comfortable wearing multiple hats, • Experience in a start-up or fast-paced environment, • You care deeply about product, not just models This is a rare opportunity to be a part of a journey from the beginning, collaborate with world class engineers and have a real impact. Apply now for immediate review! Founding AI Engineer - Early Stage Start-Up - London

Remote-Friendly Software Development Opportunity in Agricultural Technology CANDIDATES MUST BE UK BASED AND NOT REQUIRE A WORK VISA Join an award-winning agricultural analytics software company at the forefront of sustainable technology. We're seeking exceptional Back-End Developers who can transform data into impactful solutions that enhance food production, farm economics, and environmental resilience. Position Highlights: • Remote Work, • London based head office, • Cutting-Edge Agricultural Technology Platform, • Opportunity to Drive Sustainability through Innovative Software Solutions Candidate Assessment Process: • LeetCode-Style Coding Challenge, • Designed to evaluate algorithmic problem-solving skills, • Focus on efficient, optimised solutions, • Challenges will test:, • Data Structures, • Algorithm Design, • Computational Thinking, • Performance Optimisation Ideal Candidate Profile: Academic and Professional Requirements: • Minimum Qualification: Degree/Masters/PhD in Computing, Data Science, or Equivalent, • Proven Commercial Experience as a Back-End Microsoft Developer, • Strong Academic Background with Demonstrable Achievements, • Proven ability to excel in time-constrained, algorithmic problem-solving Technical Expertise: • Advanced Proficiency in:, • C# and .NET Framework, • Microsoft Azure Cloud Platform, • SQL and SQL Server, • Complex Data-Driven Software Development, • Strong Algorithm and Data Structure Knowledge Preferred Background: • Experience in FinTech or Similar Structured Data Environments, • Demonstrated Ability to Scale Applications for Large User Base, • Previous success in technical coding assessments Personal Attributes: • Exceptional Attention to Detail, • Strong Collaborative and Communication Skills, • Creative Problem-Solving Approach, • Quick Analytical Thinking, • Ability to perform under time pressure, • Passion for Technological Innovation in Sustainability What We Offer: • Work with Respected Professionals, • Cutting-Edge Technology Solutions, • Meaningful Impact on Agricultural Sustainability, • Opportunity to Develop Market-Leading Software, • On top of the very competitive salary all employees are included in the company share scheme

Team Lead, Data Science - BioTech - London (4 days a week onsite) A pioneering London-based biotech company are looking for a Data Science Team Lead to join their team. What will I be doing? • Build and lead the data science function that will define the future of biomedical analytics. You'll be the strategic and technical visionary transforming revolutionary nanopore technology into world-changing insights., • Define organisational strategy, build and inspire a world-class team, set technical vision for ML integration with nanopore technology, and champion industry-leading standards from research to production, • Represent the company at major conferences and strategic partnerships, collaborate with stakeholders to unlock innovation opportunities, and position the organisation as a thought leader in computational biology and biomedical AI What are we looking for? • Demonstrated success managing high-performing data science teams, • 10+ years relevant experience, exceptional communication skills to influence at all levels, • Proven track record translating cutting-edge research into production systems, • Advanced degree (PhD preferred) in quantitative discipline, • Extensive Python programming/modeling experience, and deep expertise in ML for time-series and probabilistic modeling, • Having an established network in computational biology/ML communities would be desirable as well as high-impact publications or open-source contributions, biotech regulatory experience, and ability to build technical cultures that attract top talent What's in it for me? • Salary of £120,000 - £150,000 dependent on experience, • Work with cutting-edge nanopore technology that's literally the first of its kind, • Series A funding from prestigious investors including NATO Innovation Fund, • Team includes veterans from Oxford Nanopore and other leading biotech companies, • Establish yourself as a recognised leader in computational biology and biomedical AI Apply now for immediate consideration!

Job Ad – Gen AI Engineer (Contract) – London, UK Role: Gen AI Engineer Location: London, United Kingdom (Office-based) Contract: 6 Months Rate: £370/day (negotiable) About the Role: We are seeking a Senior Gen AI Engineer to develop and deploy advanced Generative AI products, including fine-tuning LLMs and implementing Graph RAG solutions. You will implement and optimize Gen AI agents for the Global Supply Chain, delivering scalable, secure, and cost-effective AI solutions. Key Responsibilities: • Prototype and deploy Generative AI applications for business objectives., • Implement LLMs, Graph RAG, and AI/ML solutions in production environments., • Develop automated processes (LLMOps) and CI/CD pipelines., • Collaborate with cross-functional teams to integrate AI into business workflows., • Ensure security, compliance, and AI governance standards., • Higher degree (PhD preferred) in CS, Engineering, Data Science, Statistics, Physics, Bioinformatics, or related field., • 5+ years of hands-on experience across AI domains: NLP, NLG, CV, ML, GenAI., • Expertise in fine-tuning/training LLMs and Graph RAG solutions in production., • Proficiency in cloud services and tools: Azure, Databricks, Azure ML, Vertex AI, Azure AI Services, Azure DevOps., • Strong Python and LLM libraries experience: langchain, LangGraph, semantic kernel, promptflow, Autogen., • Software engineering skills, including API development, FastAPI, Asyncio, and frontend integration., • Experience with Gen AI model deployment, monitoring, CI/CD pipelines (Weights & Biases, GitHub)., • AI/ML certifications (e.g., Azure AI Engineer Associate)., • Excellent collaboration, communication, and problem-solving skills.

About the Role: • We are looking for a Software Engineer – Generative AI to design, develop, and deploy advanced AI solutions, including fine-tuning Vision and Language Models (V/LLMs) and implementing Graph-based RAG (Retrieval-Augmented Generation) systems., • As a key member of our Global Supply Chain GenAI Team, you will drive the technical implementation of scalable, secure, and efficient Generative AI capabilities that enhance decision-making, optimize performance, and ensure responsible AI governance., • This position plays a pivotal role in leveraging Generative AI technologies to modernize and automate the Global Supply Chain. The successful candidate will deliver innovative, reliable, and secure AI solutions that significantly improve operational efficiency and strategic business outcomes. Key Responsibilities: Technical Implementation of GenAI Capabilities • Analyze, organize, and transform raw data into structured, usable formats., • Build and maintain data systems, pipelines, and algorithms for advanced analytics and AI., • Conduct complex data analysis to uncover trends, insights, and optimization opportunities., • Prepare datasets for prescriptive and predictive modeling., • Design, prototype, and validate GenAI applications aligned with business objectives., • Combine data from multiple sources, ensuring data quality and reliability., • Rapidly prototype user experiences for validation and testing., • Implement LLMOps and automate workflows for AI lifecycle management., • Build scalable, secure, and cost-efficient AI solutions for enterprise deployment., • Troubleshoot and optimize AI/ML models and applications., • Contribute to innovation initiatives within the GenAI team. Collaboration: • Identify and assess opportunities to apply LLMs and AI agents within business processes., • Collaborate with cross-functional teams in an iterative, agile development environment., • Educate business and IT stakeholders on Generative AI capabilities and applications. Security and Compliance: • Ensure all AI solutions comply with security best practices and AI governance frameworks. Essential Skills & Experience: • Advanced degree (PhD preferred) in Engineering, Data Science, Statistics, Computer Science, Physics, or related field., • Minimum 5+ years of experience in at least two AI domains such as NLP, NLG, Computer Vision, Machine Learning, or GenAI., • Proven experience with fine-tuning and training LLMs, and developing Graph RAG solutions in production environments. Technical Expertise: • Proficiency in cloud platforms – particularly Microsoft Azure and Databricks., • Experience with tools and services such as:, • Azure Machine Learning, Azure AI Services, Azure OpenAI, AI Search, Data Lake Storage, Data Factory, Databricks, HDInsight, Azure Synapse Analytics, Azure SQL Database, Functions, and Azure DevOps., • Strong programming skills in Python, Java, Scala, R, or .NET/C#., • Proficiency in SQL and database design., • Solid understanding of data models, data mining, analytics, and segmentation techniques., • Experience with ETL pipelines and data transformation tools. Desirable / Nice to Have: • Hands-on experience using Azure OpenAI, Google Colab, or other GenAI platforms., • Familiarity with Microsoft Azure SQL Server, Data Warehousing, or tools such as Talend., • Knowledge of MLOps and CI/CD processes in AI product deployment., • Excellent communication and presentation skills to convey insights to diverse audiences., • Strong problem-solving mindset and ability to learn new technologies quickly. Soft Skills: • Collaborative and team-oriented approach., • Analytical thinking and curiosity-driven problem solving., • Ability to communicate technical results to both technical and non-technical stakeholders., • Passion for innovation and applying AI to real-world challenges.

Lead Data Scientist Up to £100,000 London (2-3 days onsite per week - client travel) Company: Join a management consultancy that has been disrupting the industry for over a decade. They work across sectors including Defence, Retail, Government, and Healthcare, delivering bespoke Data Science and Machine Learning solutions. By combining strategy, innovation, and execution, they help organizations turn bold ideas into real-world impact Responsibilities: • Own the end-to-end delivery of complex data science and machine learning projects, • Define and drive data science strategies that align with client goals and broader organizational objectives., • Develop tailored models and algorithms to solve unique client problems to deliver real business value., • Stay at the forefront of AI/ML trends and emerging technologies, identifying opportunities to apply new techniques and tools., • Support business development by contributing to proposals, pitching solutions, and identifying new areas for consultancy services. Requirements: • MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields., • Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment., • Ability to translate business problems into analytical solutions using advanced modelling techniques. Please note: This role does not offer visa sponsorship

Gravitas Group is Hiring: Underwriting Data Analyst Location: London (Hybrid) Employment Type: Permanent Industry: Insurance Salary: Up to £60,000 pa + Benefits Gravitas Group is recruiting on behalf of a leading insurance organisation for an Underwriting Data Analyst. This is a fantastic opportunity for a data-driven professional to play a key role in shaping underwriting and portfolio management decisions through high-impact reporting and dashboard development. About the Role As an Underwriting Data Analyst, you’ll be responsible for developing and managing reporting tools that enable stakeholders to assess underwriting performance. Your work will directly support leadership, underwriting franchises, and central functions in making informed, data-led decisions. Key Responsibilities • Develop new underwriting dashboards for leadership and key stakeholders, • Maintain and enhance existing dashboards to ensure accuracy and relevance, • Own documentation for dashboard development, data sources, quality checks, and publishing processes, • Manage and automate dashboard quality control (QC) processes, • Make approved changes to internal databases to support dashboard development, following governance protocols, • Automate recurring outputs for portfolio management, including board-level reporting, • Maintain and prioritise the Portfolio Management team’s project pipeline, • Represent the team in IT and BI prioritisation forums to ensure strategic alignment Skills & Experience • Strong problem-solving skills, • Proven experience with SQL, Power BI, and Microsoft Excel, • Excellent communication skills, with the ability to simplify complex analytics for senior stakeholders, • Bachelor’s degree in a quantitative field (e.g., Computer Science, Data Analytics, Mathematics), • Experience in the insurance or Lloyd’s market, • Familiarity with IT change control processes, • Master’s or PhD in a quantitative discipline (preferred) What’s on Offer • A chance to work with a forward-thinking insurance organisation, • Direct exposure to senior leadership and strategic decision-making, • A collaborative, data-driven team environment focused on innovation and automation

Quantitative Analyst – Gas & LNG Trading London | Full-time Cititec is partnered with a global energy and commodities trading firm to find a Quantitative Analyst to join their Gas and LNG trading desk in London. You’ll be working directly with traders and structurers, developing and maintaining models that drive pricing, risk, and trading decisions across physical and financial gas markets. This is a hands-on role with a strong technical element - perfect for someone who enjoys applying mathematical ideas to real trading problems. What you’ll be doing: • Building and improving models for pricing and risk in gas and LNG markets, • Supporting trading strategies through data analysis and quantitative research, • Working closely with traders, quants, and developers to improve decision-making tools, • Contributing to the ongoing build-out of their analytics framework What we’re looking for: • Around 5 years’ experience in a quantitative role within energy, commodities, or financial trading, • Strong Python skills and a good grasp of numerical/statistical libraries, • Solid foundation in mathematics, physics, or a related quantitative field, • Experience with pricing models, stochastic modelling, or time-series analysis, • A PhD is a strong plus, though not essential

Senior Machine Learning Engineer x2 days a week in the office (can be reduced to x1 day sometimes) About the Role & Company Join a large-scale, consumer-facing technology business operating across multiple markets, known for its innovation, rich user data, and commitment to ML / AI. With thousands of employees and a rapidly expanding AI/ML function, this company is investing deeply in applied machine learning to enhance digital experiences, power intelligent automation, and unlock data-driven decision-making. As a Senior Machine Learning Engineer, you’ll be part of a cross-functional team bringing models from ideation into production, developing scalable ML systems that operate across both real-time and batch environments. You'll also help shape internal tooling and infrastructure to support rapid experimentation, reliable deployment, and safe AI at scale. Key Responsibilities • Build, deploy and maintain machine learning models as APIs, streams, and batch services, • Partner with Data Scientists to industrialise prototypes into production-ready applications, • Lead on observability, CI/CD automation, and monitoring for ML workflows, • Develop cloud-native infrastructure using Docker, Kubernetes, and Terraform, • Contribute to shared ML tooling and experimentation platforms, • Ensure best practices in model testing, rollback, and deployment hygiene, • Work across technical and compliance teams to ensure governance and risk controls Requirements • 3–5 years’ experience in machine learning engineering and/or applied data science, • Master’s or PhD in a numerate discipline (Computer Science, Mathematics, etc.), • Strong Python coding skills for production systems, • Proven experience deploying models in real-world environments (API, batch, streaming), • Familiarity with MLOps best practices and containerised deployments (Docker, Kubernetes), • Experience working in cloud environments (AWS preferred; Terraform a bonus), • Strong communication skills and interest in the latest ML/AI developments, • Comfortable in collaborative, cross-functional teams with fast iteration cycles If this role interests you and you would like to find out more (or find out about other roles), please apply here or contact us via (feel free to include a CV for review).

Senior Quant Engineering Manager A leading European betting and gaming operator is seeking a Senior Quantitative Engineering Manager to drive forward the engineering efforts within its Quant Team. The organisation has a strong reputation for technological innovation and a diversified portfolio across multiple regulated markets. With thousands of employees globally, it is committed to combining entertainment with responsibility and safety, setting new standards in the industry. This is a chance to lead a high-impact function that sits at the intersection of quantitative research, engineering, and product delivery, shaping the future evolution of a cutting-edge Sportsbook Platform. The Role The Quant Team focuses on developing quantitative sports models and taking them from prototype to production. Split between Quant Research and Quant Engineering, the team plays a critical role in building data-driven pricing and modelling capabilities. As Senior Quant Engineering Manager, you will: • Own and lead multiple engineering-driven workstreams delivering Quant-powered products to business requirements within agreed timelines., • Work closely with product owners and business stakeholders on requirements and strategic roadmaps., • Set product goals and quarterly milestones, overseeing engineering-led work across teams., • Align Quant and Pricing Engineering workstreams, resolving blockers and mitigating risks., • Streamline the development of high-quality, accessible data assets for quant research and the wider business., • Lead strategic initiatives, frameworks, and tooling to optimise Quant Engineering ways of working., • Support team expansion, ensuring smooth scaling and future growth., • Manage and mentor managers and senior reports, focusing on professional development., • Play a lead role in recruitment, organisational planning, and skills development., • Champion Quant Team culture and represent engineering internally and externally., • Ensure governance, risk, and compliance obligations are met. Key Attributes • Proven managerial experience leading Quants, Data Scientists, or Engineers, with coaching/mentoring responsibility., • Track record of delivering data-driven products from prototype to production., • Experience with modelling sporting data and/or pricing systems., • Skilled in roadmap planning, milestone delivery, and stakeholder management., • Knowledge of cloud platforms (ideally AWS)., • Outstanding communication skills, able to explain technical concepts to both specialists and non-specialists., • Comfortable working across multiple levels, from strategic planning to delivery detail., • Experience driving cross-team collaboration in complex environments. Desirable • Master’s degree or PhD in a STEM discipline., • Experience line managing managers., • Intermediate/advanced programming skills in Python, Java, and SQL., • Familiarity with modern data technologies (e.g., Couchbase, Apache Kafka, or equivalents)., • Experience overseeing large-scale strategic initiatives.

AI / Machine Learning Engineer – Agentic AI & LLM Systems We’re partnered with a pioneering AI organisation pushing the boundaries of Agentic AI — building systems where LLMs reason, act, and collaborate autonomously to drive real-world outcomes. As a Machine Learning Engineer, you’ll design the frameworks, tools, and data loops that allow intelligent agents to think, plan, and improve themselves — transforming raw model power into adaptive, high-performing AI systems. What You’ll Do: • Build Agentic Systems – Develop and optimise LLM-based agents that can reason, plan, and execute multi-step tasks autonomously., • Enhance LLM Reasoning – Apply reinforcement learning, tool use, and reflection techniques to strengthen decision-making and contextual understanding., • Design Scalable Frameworks – Create data pipelines, annotation tools, and evaluation flywheels that accelerate model iteration and feedback loops., • Collaborate with Research Teams – Translate experimental findings into production-grade systems that extend the autonomy and reliability of agents., • Run Experiments End-to-End – Own your compute environment (e.g. Jupyter, Colab, Databricks) and iterate on large-scale LLM training and evaluation. What You’ll Bring: • 4+ years’ experience in Machine Learning or AI, with exposure to LLM agent systems, tool-use frameworks, or generative AI., • Advanced proficiency in Python and ML frameworks such as PyTorch or TensorFlow., • Hands-on experience developing or fine-tuning LLaMA, GPT, or similar foundation models., • Understanding of agentic architectures, chain-of-thought reasoning, and memory/reflection mechanisms., • Proven ability to debug, optimise, and scale ML experiments and compute pipelines., • MSc or PhD in AI, Computer Science, or related field. Bonus Skills: • Research track record (papers, open-source, Kaggle)., • Experience building back-end APIs or front-end interfaces for model annotation or experimentation. Contract Details: • Competitive Rates (Outside IR35), • 6–12 months (with likely extension), • Remote – UK based Please apply for immediate consideration.

Senior Data Engineering Manager x1 day a week in London office We're partnered with a leading European digital platform who are at the cutting edge of data-driven product innovation. With an ambitious, product-led strategy and large-scale investments in technology, they’re building some of the most advanced real-time data platforms in the industry. As part of a global group with a strong footprint in regulated markets, they combine agility with deep technical maturity, offering engineers a highly stimulating, impactful environment with real ownership, autonomy, and the chance to influence system design at scale. About the Role This is a ‘management first’ but highly technical leadership role perfect for a senior engineering leader with a background in real-time, event-driven architecture and a passion for building high-performing teams. We’re open to a Principal IC who has mentored others if they have headed up real-time dynamic pricing engineering builds. As a Senior Engineering Manager, you’ll lead a cross-functional team responsible for delivering complex, high-volume data products that power dynamic pricing and sports modelling capabilities across a large-scale platform. These products feed directly into live environments where performance, accuracy and speed are business-critical. You’ll manage both people and programs, guiding quarterly planning cycles, unblocking technical delivery, owning roadmaps, and supporting professional growth within the team. With direct responsibility for ~5–10 engineers (including other managers or staff-level ICs), you’ll be central to growing and shaping the future of this function. Requirements • Proven leadership experience managing engineering teams, ideally within quantitative, pricing, or data science domain. 5+ direct reports preferred., • Experience overseeing delivery of large-scale, data-driven products from prototype through to production in complex environments., • Strong technical understanding of real-time event-driven data processing systems including Kafka or similar frameworks., • Hands-on knowledge (past or present) of Java and AWS-based cloud environments, with an understanding of scalable system design., • Exceptional stakeholder management and communication skills; able to engage across senior business, product, and engineering stakeholders., • Experience in setting engineering strategy, team direction, and owning long-term goals and outcomes., • Comfortable navigating between high-level strategic leadership and deeper technical conversations., • Familiarity with Agile delivery, release planning, and quarterly OKRs. Nice to Have • Prior experience leading managers or principal/staff-level engineers., • Background working in environments focused on live pricing, sports modelling, or financial engineering., • Postgraduate degree (MSc or PhD) in a STEM field. Responsibilities • Leading and scaling a team of engineers focused on delivering high-performance quantitative models into production environments., • Defining strategic goals and setting quarterly engineering milestones in partnership with product and senior stakeholders., • Owning cross-functional planning and delivery for engineering workstreams across multiple squads., • Overseeing the build and evolution of scalable frameworks, real-time systems, and data assets to support quant model deployment., • Driving the team's contribution to overall technical architecture, tooling, and infrastructure., • Managing technical risks, resolving blockers, and ensuring team alignment with wider engineering functions., • Supporting hiring, succession planning, and team culture initiatives., • Acting as a visible ambassador for engineering excellence, both internally and externally. If this role interests you and you would like to find out more (or find out about other roles), please apply here or contact us via (feel free to include a CV for review).

We are looking to welcome a motivated, experienced regulatory medical writer who can take sole charge and work as a team. Applicants should be UK-based and life-science graduates, ideally with a PhD or other research experience, although this isn’t mandatory. You’ll need at least 3 years' experience as a regulatory writer within the pharmaceutical industry or a medical writing agency under your belt to thrive in this role. We are especially keen to hear from writers with regulatory submissions experience, including authoring CTD modules. If you are passionate about excelling in your job and enjoy working in a people-first company, then we would welcome your application to join the A-Team! Why become an Alchemist? Alchemy wouldn’t be what it is without our Alchemists. From the newest writer on the block, to the founder herself, Alchemy thrives on the easy-going but tight-knit mix of people we are. Our backgrounds are surprisingly diverse for a small team, with experience ranging from veterinary surgery to immunology research and the energy industry, and our strength lies in what each of us brings to the table. We are an array of neurodiverse, intelligent, happy people, and we want to keep this good thing going. You’ll find the nitty gritty of what Alchemy offers below, but the dynamic is what counts the most in making coming to work every day a pleasure, and we hope you’ll join us with the same mindset. We can’t wait to welcome you to the A-Team! Alchemy offers our new Alchemist the following: • A genuinely competitive salary (£40,000 to £72,000, depending on experience), • Discretionary annual bonus, • Enhanced employer contribution to pension, • Private healthcare insurance, • Employee benefits, discounts, and wellbeing support via a dedicated platform, • Full EMWA membership and the opportunity to attend professional development courses, • Additional continuous personal and professional development opportunities, • In-person away days and fun virtual team building events throughout the year, • Paid entry to a sporting event annually (e.g. Tough Mudder, marathon, etc.), • 33 days holiday a year with total flexibility around bank holidays, • The friendliest mental health first-aider you’ll ever meet, • The opportunity to learn from an established, multifarious, and supportive team Your responsibilities in return will be to: • Author, review, and independently manage the delivery of high-quality regulatory documents, including clinical study reports, protocols, investigator’s brochures, CTD modules, and other documents for health authorities, such as briefing books and responses to questions, • Prepare for and lead kick-off calls and comment resolution meetings, • Develop project timelines and estimates (supported by our client services team), • Lead cross-functional communication to optimise feedback and produce high-quality documents, • Potential opportunities to coach, mentor, and line manage more junior writers In summary, what we want you to bring to the role: • Education: a university life science degree or equivalent, with an advanced degree or equivalent being particularly desirable, • Experience: ≥3 years of regulatory writing experience, combined with scientific and regulatory knowledge, and expert knowledge of medical writing processes. CTD authoring experience is highly desirable for this role, • Ability: Proven competence at prioritising and managing multiple demands and projects, • Attitude: Equal measures of affability, adaptability, reliability, and ambition

Job Title: Science Writer and Communications Officer, Front Line Genomics Salary: £30,000-£35,000, depending on experience How to Apply: Send a CV and covering letter to Richard Lumb, at . Your application will not be processed unless we receive a CV and covering letter via email. Deadline: We are interviewing immediately, so ASAP. Role Summary: We are seeking an experienced science writer to join our friendly team. The successful candidate will be involved in science writing and communication across a number of different formats, in both short and long-form, taking the lead in researching, writing and securing contributors for scientific reports (5-6 per year), writing more focused executive reports (also science-focused), contributing to written content on our website and supporting the marketing of products to our life sciences audience. Reports to: Richard Lumb, Founder & CEO Based at: The role is based remotely, with 1 day in London required each month. The Company: At Front Line Genomics we have a simple social mission: to deliver the benefits of genomics to patients faster. We were set up following the death of the CEO’s father to a rare form of cancer, and we have a deep desire to improve the lives of patients and the general public. Our team culture is extremely important to us. Our audience includes people working in healthcare organisations, academia/research and pharmaceutical companies. We support our audience to make better use of genomics, other omics and biodata. We also support technology companies, investors, government officials and patient organisations. We have four core products: 3. Digital products: These include a highly successful line of webinar series, reports and associated products., 4. A community: A newly launched digital community to support peer-to-peer exchange of ideas, information and intelligence. The opportunities for growth (career, earnings and experience) within our business are excellent. We have an impressive track-record and extremely ambitious, achievable plans. The Role/Purpose: The main elements of the role are as follows: • Support the content strategy. You will align your content with our overall content strategy, helping to maintain the editorial calendar, and contribute new ideas, both for individual content pieces and other things related to the wider business. Content pieces take the form of blogs, features, interviews, news summaries and ideas we haven’t yet considered., • Research and write reports. You will have the opportunity to produce intelligence reports from scratch. You will research directly with our intended audience and existing contacts, interviewing them, gathering information, generating intelligence, and working with report sponsors to create long-form resources for the genomics community. Report writing schedules are typically between 6 and 8 weeks long., • Support management, content strategy and communications within our fledgling community. You will help to manage and develop the community by influencing and executing against a content/engagement strategy that enhances the experience of community members, as well as supporting the running of the community itself., • Support the marketing of scientific-focused products, including reports, webinars, events and other projects. This involves a focus on scientific copywriting, and requires an ability to assimilate new concepts rapidly, and reflect this in written communications., • Social media. You will use your content to authentically grow our social media following, writing and scheduling posts to improve the reach of our content and other products, and therefore the impact of our social mission., • Newsletter. On occasion, you will contribute towards the writing and publication of our weekly newsletter, also contributing new ideas for how we should regularly communicate with our audience., • Sourcing of stories and generation of new content ideas, in line with our content strategy and editorial calendar., • Posting of content pieces onto our WordPress website, using built-in SEO tools where required, and optimizing for readability., • Editing. You will edit/proof both your own work, and the work of others. You will provide constructive feedback to other members of the team. Candidate Profile Essential: • Education: A first or 2.1 bachelor’s degree in a biological sciences subject from a good university. This is essential. A master’s or PhD in an area relevant to the role is a plus, as is a postgraduate qualification in science communication or similar., • Experience: Ideally, 2+ years’ experience in a scientific communications or medical writing role. You will have spent much of that time writing and generating content ideas. We are ALSO open to PhD graduates who are considering a career change, but who also have a love of writing., • Strong attention to detail. You spot typos and grammatical errors from a mile away. You have high standards of work and are open to constructive feedback., • A LOVE of science. You are probably that person who regularly bores family and friends in the pub with news of exciting scientific breakthroughs. Science already plays a major role in your life., • A LOVE of writing. You have a passion for writing and a love of language. Your spelling and grammar are exemplary, and you enjoy the editing process. You have the ability to write compellingly in short-form (news and features) and long-form (in depth blog posts and report chapters)., • Experience in the field of genomics or other omics. You’ve studied genomics or related subject areas as part of a degree., • A willingness to speak directly with our audience. At times, this is a market-facing role where you will either be researching (in pre-scheduled conversations that you will arrange) with specific segments of our audience or interviewing them. You are the kind of person who loves talking to scientists in-person and online/over the phone., • Creative skills. You enjoy coming up with new ideas, can think outside the box, and are not afraid to voice your ideas (both the ones you think are great and the ones you think are stupid (among which, our best ideas can often be found))., • Independent and proactive. You must be a self-starter. You enjoy working as part of a team, but you never wait to be told what to do. You are a positive thinker, and constructive with your criticism, always seeking solutions for any problems you identify., • Transparent. You are open with new ideas and suggestions, but also open when you are struggling, raising issues quickly and without fear of judgement. You proactively seek help or advice at the earliest opportunity. Desirable: • Content management systems. Using publishing platforms such as WordPress, posting content and using simple SEO and analytics tools., • Interview experience. Experience of planning for interviews, researching interviewees, and having fun, informal yet well-crafted conversations with scientists., • Remote working experience. You’ve either had previous positive experiences of remote working, or you have a strong desire to be in a remote role. Other Relevant Information • Holiday. 25 days holiday plus 8 public holidays per year. Your birthday is also gifted to you as an additional day of annual leave upon successful completion of your probationary period., • Pension. Contributory group pension scheme upon three months of employment., • Remote working with 1 day per month required in London., • Flexible working. Work adjusted hours, either on occasion or permanently, upon agreement with your manager., • Family-friendly policies including flexibility around working schedules (for example, to handle school runs), and – where possible – the opportunity to reduce working hours at certain times., • Culture. We are a small, close-knit and friendly team, with a strong focus on team culture. More information about our culture will be shared with you during the recruitment process., • Interview process and timescales. This position is available immediately. The interview process is (1) telephone screen to establish fit on both sides, (2) written task, (3) first interview (4) second interview/final questions, meet other members of the team, and potentially, an offer. The interview process should take no longer than 1-2 weeks.

Machine Learning Engineer – Large Language Models (LLMs) We’re partnered with a leading tech organisation at the forefront of Generative AI innovation, hiring a Machine Learning Engineer to help build the infrastructure, workflows, and systems that bring cutting-edge LLM research to life. What You’ll Do: • Design and build tools, methods, and infrastructure to advance large language model development, • Collaborate with researchers to identify and solve weaknesses in agent-generated code, • Develop scalable frameworks for annotation, training, and model experimentation, • Apply agentic design principles to improve LLM reasoning, autonomy, and reliability, • Work hands-on with Python, LLMs, and LLaMA models, running experiments and optimising performance, • Be responsible for procuring and managing your own coding environment (e.g., Jupyter Notebook, Google Colab) Key Requirements: • 4+ years’ experience in Machine Learning / AI (LLMs, data mining, recommendation systems, or pattern recognition), • Proven hands-on experience with LLM agents and generative AI systems, • Strong Python skills, with experience in PyTorch or TensorFlow, • Familiarity with agentic design principles and LLaMA-based architectures, • Advanced debugging & problem-solving ability, • Experience running large-scale ML experiments and managing compute environments, • Master’s (or PhD) in Computer Science, AI, ML, or related field Bonus: • Research track record (e.g., publications, Kaggle Master), • Backend (APIs) + frontend (React/JavaScript) experience for annotation tools Contract Details: • £400 - £525 Per Day (Outside IR35), • 6–12 Months (Likely to Extend), • Remote – UK Based 👉 Apply now for immediate consideration.

Job Description: Remote contract for PhDs in Mathematics, Statistics, or related fields. Work on cutting-edge projects with top AI labs while earning $50+/hour, fully remote, with flexible weekly hours. No AI experience required. Role Overview: Help fine-tune large language models (like ChatGPT) using your math and analytical skills. You’ll design problems, check how well AI solves them, and work with researchers to build better benchmarks. Responsibilities: • Design advanced math problems to test AI performance (e.g., multi-step reasoning, abstraction, symbolic manipulation)., • Develop clear, step-by-step solutions with rigorous logic., • Evaluate AI outputs for accuracy and quality of reasoning., • Collaborate with researchers to refine benchmarks across undergraduate to PhD-level math topics. Requirements: • PhD (pursuing or completed) in Mathematics, Applied Math, Statistics, or related field., • Strong mathematical reasoning and problem-solving skills across advanced domains., • Ability to communicate complex ideas clearly in writing and provide structured feedback., • No AI experience required. Perks: • Fully remote, flexible work., • Work on cutting-edge AI projects with leading LLM companies. Offer Details: • Pay rate: $50+/hour (depends on role and candidate expertise), • Assessment: Shortlisted experts complete an evaluation before selection., • Assignments: Contract roles with defined start/end dates; up to 40 hrs/week. About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

Job Description: Remote contract for PhDs in Chemistry, Chemical Engineering, or related fields. Work on cutting-edge projects with top AI labs while earning up to $50+/hour, fully remote, with flexible weekly hours. No AI experience required. Role Overview: Help fine-tune large language models (like ChatGPT) using your chemistry knowledge. You’ll design problems, check how well AI solves them, and work with researchers to build better benchmarks. Responsibilities: • Design advanced chemistry problems to test AI performance (e.g., chemical engineering, biochemistry)., • Develop clear, step-by-step solutions with rigorous logic., • Evaluate AI outputs for accuracy and quality of reasoning., • Collaborate with researchers to refine benchmarks across undergraduate to PhD-level chemistry topics. Requirements: • PhD (pursuing or completed) in Chemistry, Chemical Engineering, Biochemistry, or related field., • Strong chemistry reasoning and problem-solving skills across advanced domains., • Ability to communicate complex ideas clearly in writing and provide structured feedback., • No AI experience required. Perks: • Fully remote, flexible work., • Work on cutting-edge AI projects with leading LLM companies. Offer Details: • Pay rate: $50+/hour (depends on role and candidate expertise)., • Assessment: Shortlisted experts complete an evaluation before selection., • Assignments: Contract roles with defined start/end dates; up to 40 hrs/week. About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

Job Description: Remote contract for PhDs in Chemistry, Chemical Engineering, or related fields. Work on cutting-edge projects with top AI labs while earning up to $50+/hour, fully remote, with flexible weekly hours. No AI experience required. Role Overview: Help fine-tune large language models (like ChatGPT) using your chemistry knowledge. You’ll design problems, check how well AI solves them, and work with researchers to build better benchmarks. Responsibilities: • Design advanced chemistry problems to test AI performance (e.g., chemical engineering, biochemistry)., • Develop clear, step-by-step solutions with rigorous logic., • Evaluate AI outputs for accuracy and quality of reasoning., • Collaborate with researchers to refine benchmarks across undergraduate to PhD-level chemistry topics. Requirements: • PhD (pursuing or completed) in Chemistry, Chemical Engineering, Biochemistry, or related field., • Strong chemistry reasoning and problem-solving skills across advanced domains., • Ability to communicate complex ideas clearly in writing and provide structured feedback., • No AI experience required. Perks: • Fully remote, flexible work., • Work on cutting-edge AI projects with leading LLM companies. Offer Details: • Pay rate: $50+/hour (depends on role and candidate expertise)., • Assessment: Shortlisted experts complete an evaluation before selection., • Assignments: Contract roles with defined start/end dates; up to 40 hrs/week. About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

Job Description: Remote contract for PhDs in Chemistry, Chemical Engineering, or related fields. Work on cutting-edge projects with top AI labs while earning up to $50+/hour, fully remote, with flexible weekly hours. No AI experience required. Role Overview: Help fine-tune large language models (like ChatGPT) using your chemistry knowledge. You’ll design problems, check how well AI solves them, and work with researchers to build better benchmarks. Responsibilities: • Design advanced chemistry problems to test AI performance (e.g., chemical engineering, biochemistry)., • Develop clear, step-by-step solutions with rigorous logic., • Evaluate AI outputs for accuracy and quality of reasoning., • Collaborate with researchers to refine benchmarks across undergraduate to PhD-level chemistry topics. Requirements: • PhD (pursuing or completed) in Chemistry, Chemical Engineering, Biochemistry, or related field., • Strong chemistry reasoning and problem-solving skills across advanced domains., • Ability to communicate complex ideas clearly in writing and provide structured feedback., • No AI experience required. Perks: • Fully remote, flexible work., • Work on cutting-edge AI projects with leading LLM companies. Offer Details: • Pay rate: $50+/hour (depends on role and candidate expertise)., • Assessment: Shortlisted experts complete an evaluation before selection., • Assignments: Contract roles with defined start/end dates; up to 40 hrs/week. About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

Job Description: Remote contract for PhDs in Biology, Biotechnology, Biochemistry, or related fields. Work on cutting-edge projects with top AI labs while earning up to $50+/hour, fully remote, with flexible weekly hours. No AI experience required. Role Overview: Help fine-tune large language models (like ChatGPT) using your biology knowledge. You’ll design problems, check how well AI solves them, and work with researchers to build better benchmarks. Responsibilities: • Design advanced biology questions to test AI performance., • Develop clear, step-by-step solutions with rigorous logic., • Evaluate AI outputs for accuracy and quality of reasoning., • Collaborate with researchers to refine benchmarks across undergraduate to PhD-level biology topics. Requirements: • PhD (pursuing or completed) in Biology, Biotechnology, Biochemistry, or a related field., • Strong biology reasoning and problem-solving skills across advanced domains., • Ability to communicate complex ideas clearly in writing and provide structured feedback., • No AI experience required. Perks: • Fully remote, flexible work., • Work on cutting-edge AI projects with leading LLM companies. Offer Details: • Pay rate: $50+/hour (depends on role and candidate expertise)., • Assessment: Shortlisted experts complete an evaluation before selection., • Assignments: Contract roles with defined start/end dates; up to 40 hrs/week. About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

Job Description: Remote contract for PhDs in Chemistry, Chemical Engineering, or related fields. Work on cutting-edge projects with top AI labs while earning up to $50+/hour, fully remote, with flexible weekly hours. No AI experience required. Role Overview: Help fine-tune large language models (like ChatGPT) using your chemistry knowledge. You’ll design problems, check how well AI solves them, and work with researchers to build better benchmarks. Responsibilities: • Design advanced chemistry problems to test AI performance (e.g., chemical engineering, biochemistry)., • Develop clear, step-by-step solutions with rigorous logic., • Evaluate AI outputs for accuracy and quality of reasoning., • Collaborate with researchers to refine benchmarks across undergraduate to PhD-level chemistry topics. Requirements: • PhD (pursuing or completed) in Chemistry, Chemical Engineering, Biochemistry, or related field., • Strong chemistry reasoning and problem-solving skills across advanced domains., • Ability to communicate complex ideas clearly in writing and provide structured feedback., • No AI experience required. Perks: • Fully remote, flexible work., • Work on cutting-edge AI projects with leading LLM companies. Offer Details: • Pay rate: $50+/hour (depends on role and candidate expertise)., • Assessment: Shortlisted experts complete an evaluation before selection., • Assignments: Contract roles with defined start/end dates; up to 40 hrs/week. About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

Job Description: Remote contract for PhDs in Biology, Biotechnology, Biochemistry, or related fields. Work on cutting-edge projects with top AI labs while earning up to $50+/hour, fully remote, with flexible weekly hours. No AI experience required. Role Overview: Help fine-tune large language models (like ChatGPT) using your biology knowledge. You’ll design problems, check how well AI solves them, and work with researchers to build better benchmarks. Responsibilities: • Design advanced biology questions to test AI performance., • Develop clear, step-by-step solutions with rigorous logic., • Evaluate AI outputs for accuracy and quality of reasoning., • Collaborate with researchers to refine benchmarks across undergraduate to PhD-level biology topics. Requirements: • PhD (pursuing or completed) in Biology, Biotechnology, Biochemistry, or a related field., • Strong biology reasoning and problem-solving skills across advanced domains., • Ability to communicate complex ideas clearly in writing and provide structured feedback., • No AI experience required. Perks: • Fully remote, flexible work., • Work on cutting-edge AI projects with leading LLM companies. Offer Details: • Pay rate: $50+/hour (depends on role and candidate expertise)., • Assessment: Shortlisted experts complete an evaluation before selection., • Assignments: Contract roles with defined start/end dates; up to 40 hrs/week. About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

Job Description: Remote contract for PhDs in Mathematics, Statistics, or related fields. Work on cutting-edge projects with top AI labs while earning $50+/hour, fully remote, with flexible weekly hours. No AI experience required. Role Overview: Help fine-tune large language models (like ChatGPT) using your math and analytical skills. You’ll design problems, check how well AI solves them, and work with researchers to build better benchmarks. Responsibilities: • Design advanced math problems to test AI performance (e.g., multi-step reasoning, abstraction, symbolic manipulation)., • Develop clear, step-by-step solutions with rigorous logic., • Evaluate AI outputs for accuracy and quality of reasoning., • Collaborate with researchers to refine benchmarks across undergraduate to PhD-level math topics. Requirements: • PhD (pursuing or completed) in Mathematics, Applied Math, Statistics, or related field., • Strong mathematical reasoning and problem-solving skills across advanced domains., • Ability to communicate complex ideas clearly in writing and provide structured feedback., • No AI experience required. Perks: • Fully remote, flexible work., • Work on cutting-edge AI projects with leading LLM companies. Offer Details: • Pay rate: $50+/hour (depends on role and candidate expertise), • Assessment: Shortlisted experts complete an evaluation before selection., • Assignments: Contract roles with defined start/end dates; up to 40 hrs/week. About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

Global CSIRT Senior Analyst Base Location: London or fully remote with occasional London travel, see our network of 20 offices nationally: ___ About KPMG International Together with more than 273,000 colleagues in 143 countries throughout our member firms, people at KPMG imagine big ideas and bring solutions to life for clients both big and small. A role with KPMG International will open a world of opportunity in your career. KPMG International helps set the strategy and protects the reputation of this global organization of independent professional services firms providing Audit, Tax and Advisory services. We deliver value to our member firms and drive positive change in the communities we serve. By joining us you will gain a unique understanding of how a global organization operates and work on projects that impact the whole organization. From setting standards and best practices to developing innovative tech- enabled solutions for clients, you'll be part of a global team changing the way our business operates. We look forward to welcoming you to our team. About this Global Group Global Technology & Knowledge The core services provided by Global Technology & Knowledge are more crucial than ever to our future, as we enable KPMG’s digital transformation, provide trusted technology services, ensure security across the network and accelerate our Collective Strategy. Our ways of working are based on the principles of customer-centricity, communities of expertise, an optimized delivery model, flexibility, a culture of empowerment, and fulfilling careers. We are organized under five new ‘domains’: Technology Portfolio Delivery, Global Enterprise Technology, Technology Strategy & Blueprint, Global Information Security Group and Business Operations. This is an exciting time for us as we continue to drive technology excellence at the heart of Collective Strategy v3.0, and our GT&K colleagues all play a pivotal role in making this a success. About this Team GISG (Global Information Security Group) is one of five domains within KPMG’s Global Technology & Knowledge group. GISG provides the information protection and technology infrastructure that secures KPMG’s technology environment and connects its network of member firms. GISG works with the other GT&K domains to ensure that appropriate security controls are in place for KPMG technology solutions. As part of the Global Information Security Group (GISG), the Information Security Services (ISS) team which includes the Global Security Operations Center (GSOC) helps defend KPMG and its clients from cyber attacks, through timely detection, investigation and remediation of potential threats. Role summary The Cyber Security Incident Response Manager plays a pivotal role in identifying, investigating, and managing cyber and data handling incidents within KPMG’s Global Information Security Services (ISS) function. ISS delivers and oversees critical cybersecurity capabilities—including Security Monitoring & Response (SMR), Vulnerability Assessment & Secure Development (VASD), and Cyber Threat Intelligence (CTI)—across Global, Global Functions, and the broader KPMG network of member firms. This position offers an exciting opportunity to join a progressive and innovation-driven security team, contributing directly to the evolution of the Cyber Security Incident Response Team (CSIRT) on a global scale. The role reports directly to the Global Cyber Security Incident Response (CSIRT) Lead. The ideal candidate will bring knowledge in Cyber incident response, data protection, and regulatory compliance, along with the ability to collaborate effectively across functions to reduce risk and strengthen KPMG’s global data security posture. Key Accountabilities Incident Detection & Response • Triage alerts reported by GSOC, Global functions and KPMGs network of member firms, including clients, supply chain and from Security tooling like DLP, CASB, XDR and SIEM., • Contribute to the investigation and response to cyber and data handling incidents, including misdirected emails, unauthorized data access, and policy violations., • Contribute to root cause analysis to determine the origin and impact of incidents., • Collaborate with teams across Legal, HR, Compliance, Global Enterprise Technology (GET), Global Functions, RSD and key Member Firms to ensure appropriate incident handling and communications aligned to best practises., • Contribute to the delivery of guidance and support on secure data handling practices., • Identify gaps in detection and response processes and recommend improvements., • Support the development and refinement of playbooks and standard operating procedures (SOPs) for cyber and data-related incidents., • Support security awareness initiatives related to data handling and incident management and reporting., • Contribute to the delivery of training to first-line responders and KPMG member firm security teams on incident escalation procedures. Experience / Knowledge / Qualification • Leadership & Strategic Experience, • Proven experience in incident response, preferably with a focus on data protection and privacy incidents within highly regulated industries such as professional services, finance, healthcare, or energy., • Have a strong background in incident response, data protection, and regulatory compliance, with the ability to work cross-functionally to mitigate risks and enhance our data security posture. Technical Expertise in Cybersecurity & Incident Response, • Experience with email security, cloud platforms, and endpoint protection., • Strong understanding of DLP, CASB, SIEM, XDR and other security monitoring tools., • Proven ability to manage and/or support response to complex security incidents and data breaches., • Strong troubleshooting and problem-solving skills, with the ability to remain calm and effective under pressure., • Risk, Governance & Regulatory Knowledge, • Strong understanding of cyber and data risk factors impacting information security., • Familiarity with data protection regulations (e.g., GDPR, HIPAA, CCPA)., • In-depth knowledge of cybersecurity regulations, standards, and best practices., • High level of integrity and professionalism, with a commitment to ethical conduct and confidentiality., • Ability to obtain and maintain security clearance where required., • Communication & Stakeholder Engagement, • Exceptional communication and interpersonal skills, with the ability to collaborate effectively across diverse global stakeholders., • Strong analytical skills with the ability to assess and mitigate risks and influence decision-making at senior levels., • Education & Certifications, • Bachelor’s, Master’s, or PhD in Computing, Information Security, or a related field (or equivalent professional experience). Relevant certifications such as CISSP, CISM, GIAC (GCIH, GCFA), or CIPP are highly desirable. Agile/Flexible Working At KPMG International, we are supportive of helping you to achieve a balance between your home and work demands. We are happy to discuss individual requirements and our range of flexible working arrangements could be of interest. Please ask to find out more. KPMG International's commitment to inclusion & diversity At KPMG International, we recognise that we need inclusion and diversity to be successful. We want to attract, retain and develop diverse talent at all levels. This means recruiting from the widest pool of talent across our network and beyond, removing barriers that can prevent our people from reaching their full potential, and fostering a fully inclusive environment which empowers everyone to bring their whole selves to work. For additional support in applying, please click the clinks to find out more: • Applying to KPMG: ___, • Applying to KPMG:, • Tips for interview: ___, • Tips for interview:, • KPMG values: ___, • KPMG values:, • KPMG Competencies: ___, • KPMG Competencies:, • KPMG Locations and FAQ: ___, • KPMG Locations and FAQ:, • KPMG Locations and FAQ: ___, • KPMG Locations and FAQ:

The Vacancy Are you a Principal Data Scientist looking to join an organisation where what you do genuinely makes an impact? Where you are empowered, heard and able to think creatively? Then look no further because we are what you have been looking for! We are looking for a Senior Principal Data Scientist with strong technical skills using either Python or R, experience leading teams and the ability to communicate with both technical and non-technical teams across the business. This role sits within Optum UK Health Analytics team responsible for taking large data sets from various sources and converting them into meaningful insights on UK healthcare. You will play a key role in developing and implementing Optum UK’s data science capabilities in the UK. Integrated within the UK Product team, you will use artificial intelligence (AI) models to create new and augment existing products that solve important problems faced by the UK healthcare system. We are a collaborative team, we work hard and are passionate about what we do, but we ensure we have fun along the way. If this sounds like something you want to be a part of then apply today! What you’ll do You will take ownership of the UK’s data science function, this will include providing strategic and technical direction, team building and communicating with senior stakeholders across the business. Other key responsibilities and accountabilities will include; • Provide strategic and technical direction for UK Product AI initiatives, communicating technical concepts to non-technical stakeholders and building consensus from various stakeholders., • Develop, deploy and maintain advanced AI models to create new and augment existing products that solve important problems faced by the UK healthcare system., • Work with autonomy and in collaboration with other team members, including data scientists, analysts, developers, and clinicians, to contribute to the strategic goals of the UK Product team., • Manage multiple priorities and projects to meet tight deadlines within a heavily matrixed business environment., • Horizon scan for internal and external advances in AI that can be applied to the UK business. Who you’ll be We need you to demonstrate significant experience within data science. We want you to have experience in either Python or R together with experience leading data science teams. You will also have solid experience of creating and implementing both the strategic and technical direction of those teams. Being passionate about tech and keeping up to date with market and industry trends is key, as we want you to share your knowledge and use that to show us where you have made improvements that have had business benefit. Other skills we are looking for you to demonstrate include: • Advanced degree in a quantitative discipline., • Strong programming skills in R and Python., • A well-rounded data science skill set including the ability to build/maintain predictive models and explain model processes/outputs., • Ability to communicate effectively with a wide range of stakeholders and build strong business relationships as a trusted partner., • Ability to deal with multiple priorities., • Astute attention to detail and the integrity to openly report errors in a timely fashion., • A passion for solving problems and making a difference with data science., • Experience of gathering requirements from, and documenting processes for, end users., • Experience in building and/or fine-tuning transformer-based AI models., • Experience of managing the demands and various stakeholders within a highly matrixed business environment., • Ability to build/maintain predictive models and explain model processes/outputs., • experience with agentic AI Desirable • PHD Level qualification or equivalent Sound like the role you have been looking for? The apply today to find out more! Equality, Diversity, and Inclusion At Optum UK, we are committed to providing an inclusive, equitable culture where people feel able to bring their whole selves to work and to reach their full potential. This is a foundation stone of Optum UK, anchoring the employee cycle from recruitment through to ongoing personal development and genuine, continuous two-way employee engagement, supported by our company values which determine everything we do. Optum UK is an equal opportunities employer, and we welcome applications from all suitably qualified candidates regardless of race, colour, religion, sex, sexual orientation, gender identity or expression, national or ethnic origin, age, disability, protected veteran status, or other characteristics protected by applicable law. We will always work to accommodate individual needs during your application journey. If you require any adjustments, please advise the talent team.

Job Overview The main role will entail the delivery of evidence-based, neuroaffirmative psychological therapy to children, young people, and their parents. The Psychologist will adapt therapeutic approaches based on age, i.e., parenting support and/or play based therapy for younger children, and individual therapy for older children. Experience with working with children under 5 years of age would be desirable, and experience of working therapeutically with school aged children and young people (age 5-17) is essential. Experience of at least 2 therapeutic modalities is essential. The Psychologist will be responsible for conducting initial parent intake appointments for therapy and collaboratively deciding on an evidence-based plan for therapy. The Psychologist will work collaboratively with the systems around the child/young person, e.g., school and family to ensure a holistic approach to therapeutic support. The Psychologist will be clinically responsible for their caseload and will adhere to all local safeguarding guidelines. They will be comfortable with managing an appropriate level of risk for an outpatient clinic and liaise with psychiatrists locally to support this endeavour. The Psychologist will be responsible for keeping timely online clinical records, including a formal ICD-11 diagnosis to aid with insurance claims. The Psychologist will from time to time provide talks or coffee mornings to key stakeholders, e.g., schools in the local community, or parent groups. The testing psychology part of the role entails leading multidisciplinary neurodevelopmental assessments for school aged children (aged 5 to 17). As the professional leading the neurodevelopmental assessment, the Psychologist will meet parents and collect information from teachers to consider suitability for assessment pathways and/or referral to other services. Neurodevelopmental diagnosis may include but are not limited Autism, ADHD, Intellectual Disabilities, Specific Learning Disabilities (Dyslexia and Dyscalculia), Developmental Coordination Disorder and Developmental Language Disorders. Knowledge of DSM-5 clinical criteria and relevant differential diagnosis is essential. Competency in conducting a range of relevant standardized assessments is important which may include but not limited to WISC-5, WPPSI-4, WIAT-3, CTOPP-2, DASH-2, ADOS-2 or MIGDAS, DIVA-5, Conners CPT-3, Trails-X, CTMT-2. The Psychologist should be competent in using such psychometric questionnaires as BASC-3, Conners-4, SRS-2, Sensory Profile, and in interpreting assessments conducted by wider members of the multidisciplinary team including MABC-3 and CELF-4. The Psychologist will liaise with other members of the multidisciplinary team (Assistant Psychologists, Educational Therapists, Speech and Language Therapists and Occupational Therapists) to conduct testing and make diagnostic conclusions. Reports must include clear, practical strategies to support the child at home and in school settings. The role requires the Psychologist to lead on feedback meetings with parents and subsequent ‘team around the child’ meetings with schools. Key Accountabilities 1. Clinical Quality and Accuracy • Use of appropriate standardised tools and evidence-based therapy., • Clinical formulation of presenting difficulties and accurate diagnosis given., • Accurate interpretation of assessment data and formulation of diagnoses., • Diagnostic reports aligned with DSM-5 criteria and company standards., • Inclusion of clear, specific strategies for use at home/school where appropriate., • Understanding of JCQ exam accommodation requirement, • Effective risk assessments, safety plans, and onwards referrals for risk management where appropriate., • Referrals to Child Protection and the CDA where appropriate. 2. Neurodiversity and Affirmative Practice • Demonstrate neurodiversity-affirmative approaches in all aspects of the role from communication to therapeutic approaches, and any documentation., • Engage in ongoing training and reflective practice to promote an inclusive, respectful, and strength-based approach for neurodivergent clients. 3. Timeliness and Productivity • Completion of assessments and reports within agreed timelines., • Efficient caseload management and appropriate scheduling of assessments and therapy sessions., • Meeting weekly/monthly targets for psychological therapy sessions and completed assessments. 4. Communication and Collaboration • Clear, respectful, and timely communication with families and caregivers., • Effective collaboration with multidisciplinary team members., • Liaising with schools, psychiatrists, and external stakeholders to support holistic care. Qualifications/Requirements • A minimum of a Master’s Degree in Psychology that meets the requirements for CDA licensing or A minimum of a Master’s Degree in Clinical Psychology (M.Clin Psych) or a Doctorate in Clinical Psychology (PhD or Clin Psych) required to obtain a DHA license., • Strong skills in delivering evidence-based psychological therapy in at least 2 modalities, e.g., CBT and EMDR., • Strong proficiency in administering and interpreting a wide range of standardised assessment tools., • Understanding and/or a willingness to learn diagnostic skills aligned with DSM-5 criteria., • Effective communication and interpersonal skills to engage with families, schools, and multidisciplinary teams., • Ability to work collaboratively within a multidisciplinary framework and to coordinate care across systems., • Commitment to maintaining high standards of clinical documentation and ethical practice.

Associate Clinical or Counselling Psychologist Hampstead Psychology · London, England Contract type: Associate (Self-Employed) Seniority level: Mid–Senior level Compensation: £150–£180 per clinical hour (self-referrals); Bupa/AXA clients: 20% referral fee Industry: Mental Health Care · Private Practice About Us Hampstead Psychology is a trusted private practice offering evidence-based psychological therapy for adults, couples, children, and families in Hampstead and Central London. We're known for our compassionate approach, clinical excellence, and strong referral partnerships. As demand grows, we’re expanding our expert team. This is an ideal opportunity for experienced psychologists who want to focus on high-quality therapy — without the burden of marketing, admin, or billing. We’re particularly looking for adult and CAMHS psychologists who can offer evening or weekend clinics. What We Offer • £150–£180 per clinical hour for self-referrals, depending on expertise, • 20% referral fee for Bupa and AXA clients, • Steady stream of referrals – both insured and self-paying clients, • Admin and billing fully handled – so you can focus on clinical work, • Support with setup – ideal for psychologists new to private practice, • Flexible working – either in your own high-quality Central/North London clinic, or at our rooms in Hampstead, • Collaborative, professional team – you're not working in isolation What We’re Looking For We welcome Clinical or Counselling Psychologists with NHS or private experience in either CAMHS or Adult services. You will ideally: • Be HCPC-registered, • Have 10+ years of experience as a psychologist working with mental health, • Be eligible for insurer recognition (e.g. Bupa, AXA), • Be available for evening or Saturday clinics, • Offer 4–6+ client hours per week, • Have further training in CBT, ACT, CFT, EMDR, Schema Therapy, Couples Therapy, or other therapeutic model, • Be confident in working with a wide range of presentations including trauma, anxiety, OCD, burnout, relationship difficulties, and neurodiversity, • Be warm, ethical, and clinically independent Key Responsibilities • Conduct assessment, formulation, and delivery of evidence-based interventions, • Manage a clinical caseload effectively and ethically, • Adhere to GDPR, HCPC, and professional conduct standards, • Adapt flexibly to the needs of diverse clients and presentations Eligibility for International Applicants We welcome applications from psychologists trained outside the UK, where training is equivalent to the UK Doctorate in Clinical or Counselling Psychology (DClinPsy/PsychD, 3 years). Eligible qualifications include: • Ireland, Australia, New Zealand, South Africa, Hong Kong: Doctorate in Clinical or Counselling Psychology (3 years), • USA or Canada: PhD or PsyD in Clinical/Counselling Psychology (5–7 years) All applicants must hold (or be eligible for) HCPC registration as a Practitioner Psychologist in the UK. However, we are looking for clinical/counselling psychologists underneath this umbrella term. Location Work from your own high end clinic space in North or Central London, or from consulting rooms in Hampstead, London. How to Apply Ready to join a high-end, well-supported private practice? Apply now via:

Location: Remote Contract length: 9 months Overview GSK is a science-led global healthcare company with a special purpose: to help people do more, feel better, live longer. We are on an audacious journey to impact the health of 2.5 billion people over the next decade. Our R&D division is at the forefront of this mission, dedicated to the discovery and development of groundbreaking vaccines and medicines. We are transforming the landscape of medical research by integrating cutting-edge science and technology and harnessing the power of genetics and new data. By fostering a collaborative environment that unites the talents of our people, we are revolutionizing R&D to pre-empt and defeat diseases. Join us in our commitment to uniting science, technology, and talent to get ahead of disease together. Role Overview The role will report directly into the Global Real-World Evidence & Health Outcomes Research Lead for GSK's Pneumococcal Vaccine and will have expertise in real-world evidence and other non-interventional study methods. The Scientist will be accountable for engaging closely with medical and matrix stakeholders and partner effectively in data generation plan (DGP) planning, design, execution, translation and dissemination at the study level for the asset. Key Responsibilities • Plan, design and execute multiple studies for a given asset and manage timelines, deliverables, and budget., • Assure quality of deliverables, including review and sign off project specifications, protocols, data analysis plans, final study reports, abstracts, posters and manuscripts, adherence to SOPs., • Identify resources, references and analyses to inform scientific design and advise internal experts (clinical, commercial/market access) and external experts as needed in support of the asset team., • Translate identified needs for evidence into study concepts in alignment with strategic objectives and vision for the asset, e.g. development of study protocols and proposing innovative and cost-effective ways of developing and executing studies., • Develop and maintain a good working knowledge of real-world data resources, existing partnerships and public initiatives and become the point person for select sources to advise on their suitability to address given research questions., • Develop a deep understanding of customers’ needs, including HTA requirements, as well as the of acceptance of RWE or economic evidence and impact to the decision making of different customers (reimbursement, medical societies, physicians)., • Collaborate with internal teams and participate in best practice sharing sessions across NIS organization., • Build strong working relationships with stakeholder groups across medical, market access, R&D and commercial to ensure strategic alignment and optimal cross-functional collaboration and communication., • Ensure key stakeholders including TA aligned business leaders are regularly updated on plans through periodic reporting., • Develop excellent working relations with external thought leaders to ensure appropriate methods and research agendas are applied, in accordance with GSK policies. Minimum Qualifications • MSc, or equivalent in health outcomes, patient reported outcomes, health economics, epidemiology, pharmacy, health or life sciences., • Minimum 1-3 years’ experience working in pharmaceutical industry, preferably in a multi-national company., • Demonstrated ability to plan and deliver individual projects, manage budgets and work within matrix setting., • Experience with a variety of study designs, i.e., RWE studies including prospective, cross-sectional and retrospective cohort studies., • Applied experience in utilizing evidence for the development of HTA submissions, reimbursement and/or medical engagement., • Methods expertise to effectively deliver robust payer evidence and credibility to engage meaningfully with external experts & leaders in the field., • Knowledge of the diversity and complexity of healthcare markets, health technology assessment agencies, and reimbursement decision making globally, in region and in local markets., • Understanding of how health economics, health outcomes, comparative effectiveness research, PRO research and the use of PRO instruments can be applied at local decision-making levels, including support of clinical practice., • Ability to communicate technical and complex concepts and results effectively to various audiences to impact decision-making., • Self-motivated with the ability to work independently and develop credibility with colleagues throughout the enterprise. Preferred Qualifications • Advanced scientific degree, e.g. PhD, PharmD or equivalent in health outcomes or similar., • Experience in above country and in country roles., • Direct Payer experience., • Launch experience. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together. Inclusion at GSK GSK is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class. If you need any adjustments in the recruitment process, please get in touch with our Recruitment team () to further discuss this today. Important notice to employment businesses/agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are aUS Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit GSK’s Transparency Reporting ___ site.

About Psych Health Psych Health, part of the Health Partners group, is one of the leading providers of psychological services to the workplace sector, offering a range of psychotherapeutic assessments and treatments, from CBT, counselling, to EMDR. Established in 2008, and proud to still be a clinically led organisation, we place our clinical work and the quality of it at the heart of everything we do. Working across a varied and rapidly expanding client base including employers, insurers and Occupational Health providers, we provide high quality psychological assessment and therapy to employees across a diverse range of sectors, from manufacturing to blue light services. At Psych Health, we believe that excellence in clinical care is achieved by supporting our clinicians to do what they do best. We are passionate about helping people get better, stay better and live better and by creating a truly nurturing culture, not only are our clinicians able to grow, develop and thrive, but our patients benefit from our ongoing commitment to improve patient outcomes. Role Outline As our team of dedicated clinicians continues to grow throughout 2025, we are hiring for passionate and patient-centred Clinical and Counselling Psychologists to join our Psych Health service. In line with our dynamic growth, we offer a flexible approach to employment. This remote position is available Monday to Friday on a part-time (a minimum of 2 days per week) or full-time basis, catering to your work-life balance preferences. Candidates must be able to commit to either a Tuesday or a Thursday to accommodate for weekly team meetings. The Role: This is a fast-paced clinical role, where you’ll have variety in your caseload and be treated as a valued member of the team. On a weekly basis, you'll deliver exceptional one-to-one psychological triage, assessment and brief, goal-oriented treatment to a caseload of adult patients who are motivated to get well and presenting with varied clinical presentations and contextual factors. You’ll also benefit from fortnightly individual clinical supervision and weekly team meetings, which rotate between specially in-house curated CPD sessions, training, peer supervision, self-care practices, and team business updates. Your role will involve a broad spectrum of clinical responsibilities, promising a dynamic and fulfilling work experience. In addition to the core clinical focus of the role, you will also have the opportunity from time to time to get involved with other exciting elements, such as: • Developing specialist capabilities in workplace-focused psychological therapy, along with the creation and facilitation of related training programmes., • Conducting specialist assessments for our clients (e.g. fitness for work; vulnerable role assessments, neurodiversity assessments, and cognitive assessments)., • Designing and delivering impactful mental health workshops for our key clients., • Being supported to create a personalised annual development plan, crafted to realise your long-term professional ambitions. The Person: • A HCPC-registered Clinical / Counselling Psychologist with relevant clinical experience, preferably in Primary Care or occupational health settings., • A solid background in delivering a variety of evidence-based psychological therapies and brief, solution-focused interventions remotely via video call., • Experience working with a diverse demographic, encompassing adults, is essential., • Additional experience working with children, young people and families is desirable, but not essential., • Candidates with experience of delivering neurodiversity assessments will be highly desirable., • A commitment to personal growth, skill acquisition, and active contribution to the development of our services., • A team-oriented individual who is eager to join and enhance our large and expanding collective of psychology professionals (CBT Therapists, Counsellors, and Psychologists), enthused by improving workplace health. This is an invitation to elevate your career within a company that values progression and impact. At Psych Health, your professional development is paramount, and your work will leave a lasting impression on the mental health landscape. Join us and be part of shaping a brighter, healthier future for employees nationwide. Education & Qualifications Doctorate / PhD in Clinical Psychology or Counselling Psychology Bachelors Degree in Psychology Salary We are offering a salary range between £53,000 - £60,000 FTE (Pro Rata to days worked), dependent on experience and qualifications. Certifications HCPC registration Company Benefits One of the best things about joining Health Partners is our rewards package. We appreciate the people who work with us and our rewards package is reviewed regularly to reflect that. You can expect to receive: • Competitive annual salary dependent on qualifications and experience, • Private medical insurance via Bupa, • Contributory pension scheme with employer matched contributions up to 6%, • Life assurance, • Starting on 25 days annual leave plus bank holidays, increasing with length of service, • Have a day off for your birthday, • Discounted gym memberships, • Access to Bespoke and an excellent in-house curated CPD program Remote Working Please note, we are only able to accept applications for those who reside in the UK for this remote vacancy. Working overseas is not permitted and all applicants must ensure they are able to legally work and reside in the UK during standard working hours. Any applications from individuals who are not able to meet these requirements will unfortunately not be considered. Diversity & Inclusion Statement Proud member of the Disability Confident employer scheme Health Partners are extremely proud to support the needs of our employees and as such understands everyone has individual work and home life responsibilities. We’re happy to discuss flexible working arrangements for this role, should this be a requirement for you. We aim to become one of the most inspiring companies to work for and to achieve this ambition, we need the best talent to come and work for us. We look for candidates with the right skills and values to join us and selection is based on a fair and equal process. We’re proud to be committed to equal opportunities and welcome applications from all backgrounds. Diversity and Inclusion forms an integral part of everything that we do, bringing together the best talent, helping people to realise their full potential by being yourself at work and delivering an outstanding service to everyone – regardless of difference. To apply, click ‘Apply Now’ and you’ll be able to upload your profile/CV from there. If you require an alternative method of applying or would like to discuss this role further, please send an email to We look forward to you joining our team! Health Partners Group Health Partners Group is a UK leading provider of comprehensive health and wellness services, dedicated to fostering healthier, more productive workforces across a variety of sectors. Our expertise spans mental health support, neurodiversity, physiotherapy, overall wellbeing, and absence management, currently benefiting the health of over 2.5 million client employees nationwide. We work collaboratively with businesses in various areas such as construction, retail, manufacturing, local government, and blue light services, by combining expert advice and clinical services to tailor solutions that meet the unique demands of each industry and contribute to the long-term success of the organisations we work with.

ML & Cloud Infrastructure Engineer Up to £180,000 London (Hybrid, 3/4/5 days onsite per week) Company: Early stage start up building the world’s first 3D Foundation Model, enabling generative capabilities in fully dynamic 3D environments, with motion, physics, and spatial reasoning built-in. Their mission is to redefine how industries, from robotics and AR/VR to gaming and movies, generate and interact with 3D content. Responsibilities: • Develop high-performance, cloud-based systems for ML training and API serving, • Manage and optimize infrastructure on AWS, GCP, or Azure; support local and distributed ML workflows, • Configure servers, monitor performance, and optimize storage for large-scale ML data, • Use Docker, Kubernetes, and Terraform to deploy and scale applications, • Collaborate with researchers and engineers to streamline ML operations, • Handle incidents, troubleshoot issues, and improve system robustness Requirements: • MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields., • 3 years professional experience in a cloud-related role, preferred ML-related., • Strong coding skills in Python and SQL, • Proficiency in cloud platforms, • Proficiency in containerization, • Proficiency in orchestrating a cloud

My client is looking for a motivated Senior Optical System Engineer for their London office to join the Optical Network Integration team. Your Role: • Develop and run high-speed optical transceiver test plans, • Electrical and optical characterisation of transceivers, • Optimise receiver performance and analyse link margins., • Automate test, calibration, and characterisation processes. Experience Needed: • MS or PhD in Physics or relevant field, • Hands on optical communication systems development, testing and integration, • Automated test systems and scripting, • Strong knowledge of equalisation techniques for high-speed link performance, • Good to have worked with 50Gbps or above Benefits: • Hybrid work, • Employee stock option scheme, • Private medical insurance, • Competitve salary range with great earning potential If you are looking for a challenging role within the AI space, contact Ella Flynn at IC Resources.

Technical Quant Developer with deep Computer Science expertise applied to Python, SDLC tooling, Linux, Docker, and SQL sought to join a Boutique Quant Hedge Fund.You will join as a more junior member, as part of a small team designing and implementing a central platform for Backtesting, Pricing, Risk and Performance, to be used across all Funds and Investment teams. Finance experience is not an essential criterion. This new, core team collaborate with Quantitative Researchers and Portfolio Managers to design and implement scalable solutions, addressing complex business needs, in particular delivering and maintaining critical components of the Investment Infrastructure, such as the Data Interface Layer, Central Risk Calculations, and Backtesting Frameworks, to be used by diverse Investment teams as part of their daily work. The platform is pure Python, with SQL, on Linux and Docker platform. Python is the primarily required skill, however mastery of Linux/Docker environments and SDLC tooling such as GitLab CI/CD would be extremely highly regarded. In return for your Computer Science and Engineer nous, full training on the Quantitative Finance, Hedge Funds and Systematic Investing will be provided. Essential Skills & Experience: • Undergraduate degree in Computer Science, Computing, Software Engineering or similar with top grades from a reputable institution. MSc or possibly PhD level academics in said subject(s) preferred., • Strong Python skills, as per 3+ years of professional experience in a technically and/or scientifically complex and competitive environment., • Proficiency in Linux and Docker including system administration and containerization for deployment and scaling., • Hands-on experience with continuous integration and delivery systems such as Jenkins and GitLab CI/CD and a strong understanding of Software Development Life Cycle (SDLC) best practices., • Knowledge of SQL for database management and query optimization. This is an outstanding opportunity to join a world-class boutique Systematic Investment business, playing a key role in the delivery of a crucial core platform for use by cross-functional teams across multiple investment platforms.

causaLens delivers Digital Workers that enterprises can truly rely on. Soon, competing without Digital Workers will be impossible. Just as it became unthinkable to manufacture without machines. We’ve built the first factory and Operating System for creating, deploying, and governing Digital Workers. For too long, enterprises have been bogged down by repetitive work, an overload of tools, and costly consultancies. It’s time to simplify. It’s time for Digital Workers to take on the repetitive workflows, freeing humans to focus on what matters most. Trusted by leading companies like J&J, Cisco, IPG Group, and Syneos Health. Backed by over $50M in funding from world-class investors, including Molten Ventures (formerly Draper Esprit), Dorilton Capital, and IQ Capital, plus visionary angel investors such as the CEO of Revolut. Here are 2 articles that define our culture: Requirements We’re looking for AI Engineers who are passionate about helping world-leading enterprises put cutting-edge AI agents into production. You’ll work on impactful, high-visibility projects - designing, building, and delivering intelligent solutions that solve real business problems at scale. What you’ll bring: • PhD in a STEM field with demonstrated experience in research and development to solve complex, previously unseen problems., • Hands-on experience building production-grade solutions using LLMs, RAGs, MCPs, and agentic workflows., • Client-facing experience with a forward deployed engineering mindset. You’ll work directly with both technical teams and business stakeholders to understand real-world challenges and deliver solutions that drive measurable impact., • Tackle some of the most complex and exciting client problems, using your research skills to come up with innovative solutions. Collaborate with others to work on strategic research initiatives., • Collaborate directly with top-tier enterprises to understand needs, design and deploy bespoke agentic workflows., • Design and implement robust architectures that leverage the latest AI technologies., • Lead the delivery of high-impact AI products from concept to deployment. Benefits We care about our people’s lives, both inside and outside of causaLens. Beyond the core benefits like competitive remuneration and a great work-life balance, we offer the following: • 25 days of paid holiday, plus bank holidays, • carry over/sell holiday options (up to 5 days), • Share options, • Pension scheme, • Happy hours and team outings, • Referral bonus program, • Cycle to work scheme, • Friendly tech purchases, • Benefits to choose from, including Health/Dental Insurance, • Special Discounts, • Learning and development budget, • Work abroad days Our interview process consists of screening sessions with the hiring manager and a "Day 0" which involves an approximately 3-hour in-person challenge followed by an in-person presentation and interviews. Have questions? We encourage open dialogue—reach out anytime. If you require accommodations during the application process or in your role at causaLens, please contact us at

Please note this Role is based in London, local candidates only! Solvo.ai is redefining global container shipping with AI. We build machine learning systems that power intelligent, sustainable, and profitable decision-making for one of the world’s most complex industries. Nothing we do is hypothetical. Everything we do has a measurable impact. Our combined experience of over 100 years in logistics, artificial intelligence and scaling startups allows us to innovate boundlessly, constantly push the frontiers of what’s possible, and generate revolutionary tools to deliver business impact to our customers. We stand proudly, not just for what we achieve, but for how we achieve it - creating trust through professionalism, integrity, and transparency. The role: We are looking for an exceptional Machine Learning Engineer (MLE) to join our team and accelerate the next generation of Solvo’s AI products. This is a hands-on role at the intersection of research and production, where your work will ensure our customers get maximum value out of our solutions. The ideal candidate for this role will get stuck in across the organisation, moving naturally from intricate data analysis, through detailed ML considerations and onto the broader business context. You will have the freedom to propose, research and implement innovative new ideas to improve our system. If you want to apply cutting-edge machine learning to a trillion-dollar industry, and you’re motivated by seeing your work have immediate business impact, we’d love to hear from you. Your responsibilities • Innovate on Solvo’s modelling and decision making solution., • Create value for customers through application of ML principles and best practice., • Strive for high quality and robust outcomes., • Continuously ensure we are using the most appropriate ML modelling techniques for customer projects and our product offerings., • Design and develop production-grade software, ensuring scalability and performance., • Collaborate closely with scientists and engineers in an agile team environment., • Facilitate understanding of our AI solutions internally and externally., • Continuously develop your own AI/ML and engineering skills. Essential skills and experience • Academic or industrial research experience in machine learning, especially probabilistic models and Bayesian statistics., • Proficiency in designing and programming advanced ML algorithms., • Ability to apply state-of-the-art research to real-world problems., • Proficiency in operating and evolving advanced ML systems in a production environment., • Strong communication skills with the ability to convey complex ideas to both technical and non-technical audiences., • Advanced degree (PhD/MSc) in a relevant field (e.g., Computer Science, Statistics, Applied Mathematics)., • Experience working in an agile team environment. Desired qualifications, skills and experience • PhD degree in a relevant field., • Good working knowledge of optimisation (linear programming)., • Strong experience with Python and standard ML libraries., • Familiarity with cloud computing platforms (e.g., AWS, Google Cloud, Azure). Equal employment opportunity Solvo.ai is an equal opportunity employer and we value diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Benefits • A competitive compensation package including equity, • Career growth opportunities on a personal and professional level, • Be part of a very talented, collaborative team that continuously strives for innovative solutions, • A friendly work environment where you are expected to challenge and be challenged every single day, • 25 days paid holiday Job type: full-time; permanent contract; On-site (hybrid)Location London, United Kingdom

Machine Learning Engineer Location: Remote-first Type: Full-time, permanent Salary: £70,000 - £100,000 + benefits About the Company This BioAI startup is developing next-generation diagnostic technologies for bloodstream infections using cutting-edge machine learning and DNA sequencing. The team combines expertise across genomics, microbiology, and data science to accelerate how infectious diseases are detected and treated. Having built a strong foundation in both lab and data infrastructure, the company is now expanding its compsci team with a focus on developing advanced ML models for genomic analysis - work that directly contributes to saving lives through faster, more accurate diagnosis. The Role We’re hiring a Machine Learning Engineer to lead the development of a bacterial genome anomaly detection system - building bespoke algorithms that identify unusual patterns in genomic data and support the company’s mission to prevent incorrect antibiotic prescriptions. You’ll design and test novel ML methods using foundational pre-trained genomic embeddings and custom anomaly-detection architectures, turning proprietary data into interpretable, high-impact models. This is a deep research role: success will come through rapid iteration, creativity, and scientific curiosity rather than polished productisation. It’s well suited to someone who thrives in a small, autonomous team, enjoys experimental algorithm development, and wants their work to have measurable real-world impact. What You’ll Do • Design and implement bespoke anomaly-detection models for bacterial genomes, • Develop, train, and benchmark transformer-based and foundation-model approaches for genome representation, • Conduct rapid, iterative research, evaluating ideas through experiments rather than long production cycles, • Collaborate with bioinformatics, microbiology, and software teams to integrate models into GenomeKey’s diagnostic pipeline, • Analyse large-scale proprietary genomic datasets to ensure model robustness and interpretability, • Generate and evaluate synthetic and real-world data for validation, • Ship prototype code to third-party partners for testing and feedback, • Contribute to broader R&D initiatives such as statistical framework design and data infrastructure development What We’re Looking For Required • MSc or PhD in Machine Learning, Computational Biology, Bioinformatics, or related discipline (or equivalent industry experience), • Demonstrated ability to apply ML methods to biological or genomic data, • Strong Python skills with experience in PyTorch, TensorFlow, or scikit-learn, • Understanding of bioinformatics workflows (e.g. genome assembly, QC, annotation), • Experience working with large or complex genomic datasets, • Familiarity with model evaluation, benchmarking, and explainability, • Ability to work autonomously, design experiments, and iterate quickly, • Strong communication skills for cross-functional collaboration Why Join? • Work on a genuinely novel problem - genomic anomaly detection for clinical diagnostics, • Combine academic-level research with startup agility and real-world impact, • Autonomy to explore and build new ML algorithms from first principles, • Join a collaborative, science-driven team that values experimentation and creativity, • Contribute to technology that could change how bacterial infections are diagnosed worldwide

Your new company You'll be joining a pioneering organisation dedicated to advancing sustainable technologies through innovative chemical process development. This company is committed to transforming materials and manufacturing practices to support a regenerative future. You'll be part of a multidisciplinary team working at the intersection of science, engineering, and environmental impact. Your new role As a Process Development Engineer, you will lead the development, optimisation, and scale-up of novel chemical processes. This hands-on role spans from lab-scale experimentation to pilot and production-scale implementation. You will play a critical role in translating research into commercially viable operations, contributing to the design of new equipment, and integrating cutting-edge technologies into process workflows.This is a permanent role, based out of the company's site in London and requires a significant on-site presence. Main ResponsibilitiesProcess & Technology Development: • Identify and develop new process concepts using innovative materials, chemistries, and unit operations., • Design and execute lab and kilo-lab scale experiments to validate process concepts., • Optimise processes using experimental data and modelling tools to enhance safety, performance, and sustainability. Scale-Up & Project Execution: • Support process design during Pre-FEED stages of capital projects., • Guide the transition from bench-scale research to pilot and production-scale operations., • Define and implement key scale-up parameters and performance metrics. Equipment Design, Procurement & Commissioning: • Specify, design, and commission novel process equipment up to pilot scale., • Collaborate with internal and external engineering teams to deliver fit-for-purpose solutions on time and within budget. Innovation, Flexibility & Digital Enablement: • Integrate advanced technologies and digital tools to enhance process development., • Adapt to a range of development activities, from exploratory research to plant-scale implementation., • Demonstrate agility across structured and fast-paced R&D environments. Governance, Safety & Compliance: • Uphold health and safety standards and best practices in laboratory and engineering settings., • Conduct risk assessments and ensure compliance with regulatory and safety requirements. What you'll need to succeed • Bachelor's degree / BEng (with higher degrees, eg MEng or DEng/PhD preferred) in Chemical Engineering, Chemistry, or a related subject - or equivalent experience, • Strong experience in chemical process development and design, particularly within capital project environments., • Proven track record in scaling up processes and designing process equipment; with a preference for someone who's helped integrate novel technologies., • Proficiency in process simulation software (e.g., Aspen Plus or other modelling software)., • Strong understanding of unit operations such as mixing, heat transfer, filtration, and bioreactors., • Adaptable, innovative, and collaborative with strong communication skills. What you'll get in return You'll have the chance to work within a close-knit, experienced team and make a real difference within a company that's looking to transform the sector and have a far-reaching impact on the global scale.You'll also get a number of progression and development opportunities and a good salary and benefits package. What you need to do now If you are interested in this role, please click 'apply now' to forward an up-to-date copy of your CV.If this job isn't quite right for you, but you are looking for a new position, feel free to reach out to us for guidance on your next career move. Keywords: Process, Development, Engineer, chemical, scale-up, pilot, plant, optimisation, Aspen, modelling, simulation, operations, sustainable, technology, London, design, commissioning, biotech, synbio, lab, permanent

Insight Global is looking for a AI Engineer for one of their premier Energy Trading clients in London, UK. The AI Engineer will join a vibrant team of Data Scientists and ML Engineers working with the Trading & Supply Capability Center (CC). He or she will be responsible for initiating, development and deployment of GenAI solutions/products in an agile fashion to meet demand across multiple business lines. Key Characteristics include: • Lead the technical direction of GenAI focused projects and initiatives, • Mentor junior AI engineers and help software engineers upskill on GenAI relevant techniques and tools, • Working within the Data Science and ML team to build and deploy GenAI solutions to production, using existing and emerging methods and technologies that could be effectively applied to use cases, • Build core infrastructure around feature engineering, model training, model deployment, ongoing monitoring tools, and much more., • Building and define key evaluation systems and processes to ensure GenAI Tooling performs at a high standard, • Help guide and define strategic ambitions relevant to GenAI tooling and projects, • Work closely with Infrastructure, data engineering and DevOps teams to increase deployment velocity, including the process for deploying tools into production, • Work closely with Product Management to translate product requirements into robust, customer-agnostic machine learning architectures, • Keep abreast of new engineering practices, technologies and continuously improving our Agile practices and building and strengthening relationships and alliances in academia, tech teams and industry, • Contribute to community building initiatives like CoE, CoP. Must Haves: • Experience in designing, developing, deploying, and monitoring machine learning and GenAI solutions, • Experience working with data scientists and/or ML engineers and building auto-scaling ML systems, • Deep knowledge of LLM architectures and attention mechanisms – experienced with MoE, MHA, SWA, Flash Attention, GPT, LLaMA, DeepSeek, and reasoning-based models, • Experience in creating and maintaining RAG supported systems including PDF extraction, OCR, and varying chunking and embedding methodologies, • Inference optimisation experience – hands-on with high-performance inference frameworks such as vLLM, TensorRT, and related acceleration techniques, • Proven evaluation experience – successfully conducted assessments of RAG and agentic systems. Both on performance and compliance (harm, guardrails, etc), • 4+ years of development competency across a variety of languages, frameworks, and tooling, such as Python, R, Kubernetes, Kubeflow, JavaScript/JVM, Kafka, • Background in Application development, deployment, and monitoring on Kubernetes, • Proficient in PyTorch or similar frameworks (e.g Tensorflow) – demonstrates strong understanding of neural networks and LLMs; familiar with frameworks widely used in Hugging Face models, LLaMA, and similar architectures, • Expertise in fine-tuning methodologies – including data collection strategies for effective model adaptation (embeddings included) Pluses: • Commodity Trading Expertise – Short-term and physical trading across energy commodities (oil, gas, power, renewables, and related derivatives), • Risk - Modelling & understanding of risk & risk management, • Commodity Modelling - Energy (power, gas, environmental products) and meteorology, • Data engineering skills using Azure/AWS/Google cloud native tools, • Good experience in Bash\Powershell Scripting and Linux Operating system and networking fundamentals, • Front end application development, • Active in various AI communities relevant to the newest technology and implementations patterns, • Master’s/PHD degree in any of the following: Engineering, statistics, machine learning, computational linguistics or relevant areas