Data research jobs in SheffieldCrear alertas

• Job Title: Senior Clinical Research Associate (Oncology), • Location: UK, Remote, • Other Details: Full-Time | Permanent | Small CRO, • Salary: Up to £65,000 (DOE) Are you an experienced CRA with a strong background in oncology trials? A small, agile CRO is seeking a Senior Clinical Research Associate to join their growing team. This is a home-based role with national travel, where half the sites are based in London. Key Responsibilities • Monitor Phase I–III oncology clinical trials across UK sites., • Conduct site visits (approx. 6–7 days/month) ensuring compliance with ICH-GCP and regulatory requirements., • Manage 1–3 studies concurrently, overseeing 4–7 sites located in London, Manchester, Glasgow, Liverpool, Sheffield, and Cardiff., • Apply RECIST criteria confidently in oncology assessments., • Collaborate with cross-functional teams to ensure high-quality data collection and trial conduct. Candidate Profile • Experience: Minimum 4 years of on-site monitoring as a CRA, with a strong track record in oncology (Phase I–III)., • Education: Bachelor’s degree (BSc, BA, or RN equivalent) in a life sciences or related field., • In-depth knowledge of ICH-GCP and regulatory guidelines., • Location: Must be based within 1 hour of a major airport or railway station. Preference for candidates located in or near London due to site distribution., • Travel: Up to 70% travel across the UK; valid driver’s license and passport preferred. To apply: Please click ‘apply’ or contact Joe Pearce for any further information About RBW Consulting RBW Consulting is a life sciences talent & strategic consultancy with purpose, delivered through what we call Human Intelligence. We help life sciences businesses change the world by giving them the people, insight & networks to innovate and scale. We are proud of our role in helping companies deliver better health and wellbeing outcomes for patients We give back by playing an active role in funding initiatives that change lives We’ve created a culture rooted in support, transparency and mutual commitment. We lead with our values from the inside; empowering and investing in our people is more important than short-term commercial gain. We are an equal opportunities Recruitment Business and Agency RBW Consulting is an equal opportunity workplace. We prioritize talent (both current and potential) over resumes, challenge the status quo, and value people as our most important asset. We do not discriminate on the basis of race, ethnicity, colour, sex, gender identity or expression, sexual orientation, religion, age, marital status, visible or invisible disability, medical condition, national origin, veteran status, or any other protected status. We strive to be a diverse workforce that is representative at all levels and are committed to building a team that represents a variety of backgrounds, perspectives, and skills.

Precision for Medicine is hiring a Medical Director/Senior Medical Director – Oncology to join our global team! candidates can work remotely in any of the following locations: UK, Poland, Hungary, Romania, Serbia or Slovakia. Position Summary The Medical Director serves as the project physician and provides medical and scientific expertise to project teams. The Medical Director’s primary focus of work will be to ensure the accuracy and integrity of the data resulting from the trial, with concentrated focus on patient safety. This position also participates in the strategic planning and execution of critical development programs for a variety of clients in Oncology/Haematology contributes to the development of Precision’s Medical team and supports Business Development activities. Essential functions of the job include but are not limited to: • Work closely with senior leaders in Medical, Operational Strategy, and Business Development to support client engagement., • Support Business Development and Proposals teams by participating in the RFP process; prepare medical considerations section for proposals; and support or participate in bid defense meetings., • Write or edit scientific content of deliverables within budget and timelines., • Collaborates with Regulatory Affairs on regulatory product landscape and strategies as a part of overall drug development strategy., • Provide scientific insight and create content for specified company releases (e.g., white papers and publication manuscripts)., • Review and revise protocols, case report forms, training materials, project specific tools, analysis plans, study designs, clinical trial reports and new drug applications., • Review laboratory values, adverse events, coded adverse event and medication data, and data tables, listings and figures as needed., • Serve as a medical resource for study sites, the project team and clients., • Assist in the preparation of the Medical Monitoring Plan and materials for investigator meetings and staff training sessions., • Assume responsibility for medical and safety monitoring on assigned projects., • Participate in feasibility discussions relating to specific project proposals., • Develop training modules and provide training concentrating on disease states., • Participate in process improvement activities., • Collaborate with Vice President, Global Medical and other members of the Medical Science Department to support growth and development activities globally. Qualifications Minimum Required: • MD, DO, MBBS, or equivalent medical qualifications., • 5+ years of Oncology clinical experience., • Ability to strategically analyze oncology clinical trial protocols., • Availability for domestic and international travel including overnight stays (approximate 30% travel requirement). Preferred • Experience working as a Medical Director for a CRO or Pharmaceutical company., • Oncology Fellowship or equivalent., • Maintains current scientific and medical knowledge base. Skills/Competencies • Ability to deliver on commitments; understands the service culture., • Strategic thinker who can build strategic drug development solutions associated with novel development programs, study designs, and patient populations., • Demonstrates a high degree of professionalism, as evidenced by punctuality, positive interactions with customers and teammates, including good interpersonal skills., • Communicate effectively in the English language both verbally and in a written form., • Conduct formal presentations to a wide variety of audiences including colleagues., • Strong visual and presentation skills., • Ability to work effectively in a fast-pacing team setting, with minimal supervision., • Proven efficiency in working remotely. Precision for Medicine is the first global precision medicine clinical research services organization, purpose-built to improve the clinical research and development process for new therapeutics. Our novel approach integrates clinical operations excellence, with laboratory expertise, and advanced data sciences to inform every step. We apply our expertise to trials at all stages—from early development through approval—with embedded experience in oncology and rare disease. Any data provided as a part of this application will be stored in accordance with our ___ For CA applicants, please also refer to our ___. Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at . It has come to our attention that some individuals or organizations are reaching out to job seekers and posing as potential employers presenting enticing employment offers. We want to emphasize that these offers are not associated with our company and may be fraudulent in nature. Please note that our organization will not extend a job offer without prior communication with our recruiting team, hiring managers and a formal interview process.

About iMerit iMerit combines human expertise with advanced technology to power AI across healthcare, life sciences, and other critical sectors. Our teams deliver the data, insights, and human-in-the-loop validation that help global organizations develop safe, ethical, and inclusive AI systems. iMerit’s Healthcare & Life Sciences division is partnering with a leading global technology company on a short, paid project aimed at improving the safety, accuracy, and inclusivity of emerging clinical AI tools. We’re inviting a select group of UK-licensed medical doctors to contribute clinical expertise by reviewing medical documents and providing structured assessments that help ensure AI systems rely on clinically sound, authoritative sources. Role Summary As a participating medical doctor, you will review medical documents and provide expert assessments to help ensure AI systems rely on sources that are accurate, authoritative, and clinically sound. The work is remote, flexible, and designed for physicians who want to contribute to the responsible advancement of medical technology. Key Details • Position: Medical Document Reviewer - Clinical AI Project, • Commitment: Approximately 10 hours total (including onboarding, short training, and review tasks), • Location: Remote, based in the UK, • Compensation: Competitive paid engagement, • Timing: Immediate start; limited slots available, • Future work: Participants who complete the initial phase successfully will have the opportunity for ongoing paid work if interested Who We’re Looking For • MDs with 1+ years of clinical experience, • Actively licensed physicians practicing in the UK, • Comfortable with digital tools and remote collaboration, • Interested in applying medical expertise to AI ethics, accuracy, and inclusion, • Strong clinical judgment and comfort reviewing medical documentation and references. Why Join • Contribute directly to advancing fairness and safety in medical AI, • Collaborate with a respected global team shaping the future of healthcare technology, • Short, flexible commitment that fits within your professional schedule, • Become part of an exclusive cohort of experts invited for future research and consulting work

Clinical Use Case Specialist – Digital Health Permanent | UK‑wide | Remote with NHS site travel Confidential Employer | Fast‑Growth SME (30+ headcount) Are you an experienced NHS Acute clinician with a passion for digital transformation? This rapidly scaling digital health SME (70–80% year‑on‑year growth) is expanding its clinical product team and is seeking a Clinical Use Case Specialist to help shape the future of clinical communication and digital workflows across UK hospitals. The Opportunity In this role, you will evaluate how digital clinical communication tools are used in real‑world NHS settings, identify workflow pain points, and develop new clinical use cases that improve safety, efficiency, and patient outcomes. You’ll work directly with frontline clinicians, informatics teams, product, and engineering to refine and evolve digital pathways used across large Acute trusts. Key Responsibilities • Evaluate real‑world clinical usage, uncovering gaps, inefficiencies and opportunities within hospital workflows, • Refine existing digital pathways and shape new use cases across different clinical areas, • Ensure clinical safety, compliance, governance and alignment with NHS policy and standards, • Work across clinical, product, and technical teams to influence roadmap and feature prioritisation, • Conduct clinical and user research to understand needs, behaviours and pain points, • Use data and analytics to measure success, adoption, and clinical benefit ✔ Must have worked within a large NHS Acute Hospital ✔ Strong understanding of NHS clinical workflows, clinical risk, governance and safety ✔ Experience digitising clinical pathways or delivering digital transformation in healthcare ✔ Health informatics, clinical informatics, or digital clinical workflow experience ✔ Experience working with multi‑disciplinary clinical and technical teams ✔ Understanding of interoperability standards (FHIR, HL7), data governance and NHS policy ✔ Product, programme or service improvement experience in a clinical‑digital environment Nice to Have • Clinical background (doctor, nurse, AHP), • Experience with clinical decision support, EPR integration or safety‑critical tools, • Work with a high‑growth, mission‑driven SME shaping the future of clinical communication, • Be part of a tight‑knit team of 30+ with huge scope for influence and progression, • Opportunity to improve real clinical outcomes at regional and national scale, • Work closely with former NHS leaders and digital innovators If you’re passionate about improving the way clinicians work and want to contribute to meaningful digital change, we’d love to hear from you. Please contact Sophie Peters at for further information.

Are you a passionate and dedicated pharmacist looking for an exciting new opportunity? We are currently seeking a Clinical Pharmacist to join our dynamic healthcare team in Jersey. Whether you are newly qualified, have experience in community pharmacy, or come from a hospital pharmacy background with a clinical diploma, we want to hear from you. Read more about our Pharmacy Department and moving to Jersey here - ___ Main duties of the job Provide specialist Clinical Pharmacy Services to HCJ to help ensure the safe, clinically effective, and economical use of medicines. Job responsibilities • Support the Lead Pharmacists and Clinical Pharmacy Manager in the delivery of a high quality, patient-focused medicines optimisation service for patients in line with nationally approved standards, within a designated area., • Monitor and review therapeutic programmes for patients and provide specialist information, advice and guidance on the safe, effective and economical use of medicines, so that patients receive the best pharmaceutical treatment with minimal adverse effects., • Undertake medication reviews, including medicines reconciliation for newly admitted patients and pharmaceutical care planning prior to discharge, to minimise risks with medication associated with transfers between care settings. LFiaise with medical and nursing staff over any clinical issues, to ensure that each patient is receiving the most appropriate medication., • Work as a member of the multi-professional health and care teams including attendance at ward rounds, providing highly complex clinical pharmacy advice and expertise to peers, patients and management to ensure that best practice is promoted and delivered to patients., • Advise on complex prescribing issues to medical and nursing staff to ensure that legislative requirements and best practice standards are met in the delivery of pharmacy service., • Support the Clinical Pharmacy Manager in the development of local clinical pharmacy guidelines and policies. Implement national and local policies and guidelines related to medicines., • Provide specialist information to support formulary decisions by the Drugs and Therapeutics Committee., • Provide planned sessional clinical and professional supervision with the pharmacy dispensary., • Develop and deliver medicines related training programmes to medical, nursing and pharmacy staff., • Identify and participate in areas of research including audits of medicines use to assist with medicines optimisation throughout the department., • On-call involvement and participation in the weekend rota are an essential requirement for the role. Person Specification Essential qualifications: • Registered pharmacist with the GPhC. Essential experience: • Vocational (four year) masters degree in pharmacy., • Registration with the General Pharmaceutical Council (obtained by completing one-year post-graduate pre-registration training with final examination)., • Post-graduate MSc or Diploma in Clinical Pharmacy (desirable but not essential different salary schemes), • Specialist knowledge of therapeutics of common disease states and frequently used therapeutic regimes., • Well-developed knowledge of pharmaceutical technical and clinical procedures acquired through training and experience., • Knowledge of checking dispensed prescriptions and supervising staff within the Pharmacy., • Good understanding of medicines governance, safety and management, including relevant legislation., • Understanding of clinical governance, medication incidents and risk management., • Up to date knowledge of national guidelines and legislation relating to medicines use and pharmacy practice., • Practical knowledge of maintaining records according to confidentiality and data protection protocols., • Excellent communication; verbal and written., • Communicates effectively across all levels., • Ability to adapt personal style in order to influence others and gain support for ideas., • Supports the development of and shares learning with other members of staff., • Able to remain professional and effective under pressure., • Committed to continuous service improvement and also continued professional development for themselves and their team. Disclosure and Barring Service Check This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions. Certificate of Sponsorship Applications from job seekers who require current Skilled worker sponsorship to work in the UK are welcome and will be considered alongside all other applications. For further information visit the ___. From 6 April 2017, skilled worker applicants, applying for entry clearance into the UK, have had to present a criminal record certificate from each country they have resided continuously or cumulatively for 12 months or more in the past 10 years. Adult dependants (over 18 years old) are also subject to this requirement. ___. UK Registration Applicants must have current UK professional registration. For further information please see ___ Employer details Health and Care Jersey Address Government Of Jersey Union Street St. Helier Jersey JE2 3DN Employer's website: ___ For more information please email

ROLE TITLE: Service Manager LOCATION: Remote Salary: £36k - £41k per annum Duration: 6 months We are actively looking to secure a Service Manager candidate to join Experis. Experis Consultancy is a Global entity with a well-established team with over 1000 consultants on assignment across 20 clients globally. Our UK operation is growing and has very aggressive plans for expansion over the coming years. We form part of the Manpower group of companies that turn over $20 billion a year collectively. Experis UK have partnerships with major clients across the UK spanning multiple industries; our approach is a very personal one, with both our clients and our own employees. We are passionate about training, technology and career development. Key accountabilities of the role • Plan and manage project timelines, deliverables, and resources., • Facilitate daily stand-ups and team meetings., • Track progress and update stakeholders on status., • Manage risks, issues, and dependencies., • Coordinate with cross-functional teams to ensure alignment., • Prepare reports and maintain project documentation. Essential Skills: • Assist in project planning, scheduling, and reporting., • Support research, data collection, and documentation activities., • Help maintain tools, systems, and processes for the team., • Coordinate meetings and track action items., • Learn and apply best practices in project and operational workflows. Benefits Include: • Contributory pension scheme, • Employee Assistance Program, • Medical and Dental cover, • 22 days holiday + bank holidays, • Maternity Pay/Shared Parental leave and paternity leave, • Sick pay Suitable Candidates should submit CVs in the first instance.

About Princeton Biopartners: Princeton Biopartners is a leading provider of integrated consulting solutions to the life sciences sector. Our mission is to improve the evidence base, accessibility, and dissemination of biomedical innovations through strategic advisory, software development, and venture funding. We partner with leading pharmaceutical, biotechnology, and healthcare organizations to tackle complex challenges and deliver impactful solutions. This is a contract role ideal for a postgraduate student at a research-intensive university who can commit 5–10 hours per week. As part of our team, you will contribute to cutting-edge projects that drive advancements in life sciences while gaining valuable, hands-on experience in strategic consulting. Key Responsibilities: • Conduct in-depth literature reviews and secondary research to support client projects., • Analyze market trends, healthcare data, and industry reports to provide actionable insights., • Assist in developing client deliverables, including strategic presentations and reports., • Support data collection and synthesis for market sizing and forecasting analyses., • Collaborate with our team on high-impact research initiatives and client engagements. Ideal Candidate Profile: • Postgraduate Student: Currently enrolled at a research-intensive university (preferably in London or Oxbridge), pursuing a degree in the life sciences, economics, or a related field., • Commitment: Able to dedicate 5-10 hours per week to the internship; contracted on a monthly rolling basis., • Research Expertise: Strong analytical and critical thinking skills, with experience in academic or industry research., • Curious and Independent: A self-starter who thrives in an intellectually stimulating environment and can work with limited supervision., • Communication Skills: Strong written and verbal communication skills, with the ability to present complex ideas clearly and concisely., • Microsoft Office: Proficient in PowerPoint and Excel, with a strong eye for visual design and the ability to transform complex information into clear, engaging, and easily digestible content. Why Join Us? • Real-World Impact: Work on projects that address critical challenges in life sciences, such as improving healthcare accessibility and innovation dissemination., • Growth Opportunities: Gain hands-on experience, mentorship, and exposure to strategic consulting in the life sciences sector., • Flexible Schedule: A remote role with a manageable time commitment, ideal for balancing with academic pursuits., • Collaborative Environment: Join a team that values intellectual curiosity, collaboration, and innovation. Compensation and Benefits: • Competitive hourly rate., • Reimbursement for professional development resources (e.g., relevant software or research tools)., • Opportunities to network with industry professionals and thought leaders. Application Process: We encourage interested candidates to apply early by submitting their CV and a brief cover letter highlighting their research experience and passion for life sciences consulting. Applications will be reviewed on a rolling basis, and for those invited to interview, the process typically takes 2-4 weeks. Princeton Biopartners is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all team members.

Senior ML & AI Engineer Remote (Bath office 1 day per month) Up to £80,000 About the Role We’re partnered with a fast-growing tech startup focused on how brands and retailers use data. Their AI platform brings together data science, immersive visualisation, and large-scale machine learning to optimise product ranges, plan shopper journeys, and drive smarter commercial decisions. They’re now looking for a Senior ML & AI Engineer to join their lean, high-impact engineering team. This is a pivotal role at the intersection of ML engineering, backend systems, and LLM integration - ideal for someone who thrives in fast-paced, hands-on environments where ML systems are core. Responsibilities • Design, build, and maintain scalable backend systems that power advanced ML and LLM applications., • Develop and manage end-to-end MLOps pipelines with automation, reproducibility, and scalability at their core., • Deploy and monitor machine learning and LLM models in production, identifying model drift and performance issues., • Drive research and development in modern ML, AI, and LLM approaches, applying SOTA techniques in a real-world setting., • Champion clean, maintainable, and well-documented code following best engineering practices. What We’re Looking For • Strong academic background in Computer Science, ML, AI, or a related field., • Deep hands-on experience with Python and ML frameworks (PyTorch, TensorFlow, Hugging Face)., • Proven background in MLOps, including model versioning, CI/CD for ML, and production monitoring., • Experience building robust backend systems and APIs to serve ML models at scale., • Strong understanding of big data technologies and data orchestration tools (Airflow, DBT)., • Familiarity with LLM integration and optimisation in production environments., • Excellent problem-solving, analytical, and communication skills., • Experience fine-tuning LLMs (e.g. Unsloth, cloud-based methods).

Applied AI Engineer Adema AI – Real Estate & Planning Intelligence 📍 London / Hybrid / Remote (UK & EU) About Adema AI Adema AI is one of the fastest-growing AI startups in the UK, with a rapidly expanding and active user base across development, planning, investment, and advisory. We are building a deep, AI-native intelligence platform for the built environment — combining LLMs, graph-based machine learning, spatial analytics, and planning data to power real-world decision-making. What you see live today is only part of the picture. Alongside the existing platform, we are building multiple advanced intelligence tools, including recommendation engines, spatial reasoning systems, planning-risk analysis, and decision automation — while refining and outperforming existing market tools, not replicating them. 👉 Platform overview: The Role We’re hiring an Applied AI Engineer to help scale Adema’s intelligence layer as adoption accelerates. This is a core technical role. You’ll be working on production AI systems already in use, while helping design and deploy the next generation of models, pipelines, and services that will define the platform. You’ll work directly with the founding and AI leadership team and have real influence over architecture, tooling, and technical direction. What You’ll Be Working On • Production MLOps pipelines for training, evaluation, and deployment, • LLM-powered workflows for planning, site intelligence, and decision support, • Graph-based ML models linking spatial, regulatory, demographic, and market data, • A growing recommendation engine and inference services (separate ML services, not monoliths), • Advanced geospatial intelligence: accessibility, constraints, clustering, and market gap analysis, • Microservice APIs (FastAPI or similar) connecting data, ML inference, and product, • Cloud-native AI infrastructure across Azure / GCP / AWS, • Continuous refinement of existing tools and replacement of legacy approaches with AI-first systems This is not a research-only role — everything you build is designed to ship and scale. What We’re Looking For Core Requirements • Strong Python experience across data engineering and machine learning, • Experience deploying ML models into production environments, • Hands-on experience with LLMs / applied NLP, • Strong SQL skills and experience with structured & semi-structured data, • Experience with FastAPI, REST APIs, and microservices, • Cloud experience (Azure, GCP, or AWS), • Familiarity with CI/CD and modern DevOps workflows Highly Desirable • Graph data, network analysis, or GNNs, • Spatial / geospatial data experience, • Containerisation (Docker / Podman) Equity & Upside • Warrants are available for the right candidate, • This role offers real upside, aligned with platform growth and adoption, • Early impact, genuine ownership, and exposure to product, commercial, and strategic decisions Why Join Adema AI • One of the fastest-growing AI startups in the UK, • Rapidly expanding real-world user base — your work is used immediately, • Build serious AI infrastructure, not slideware or demos, • Direct access to founders and decision-makers, • Solve complex, meaningful problems at the intersection of AI, planning, and real estate, • High-autonomy, high-trust engineering culture Who This Is For You’ll thrive here if you: • Want to build AI systems that ship and scale, • Enjoy working across data, ML, and infrastructure, • Care about architectural quality and long-term leverage, • Want upside, responsibility, and pace — not corporate drag

👋 About Renude Renude builds AI-powered software for the beauty industry, helping brands deliver personalised, expertise-focused customer support through intelligent digital agents. Our technology powers e-commerce experiences including: skin analysis, product recommendation and LLM-based chat. We’ve been awarded by CEW, Beauty Innovation Awards, Tech Nation and more, and have raised over $3M from leading tech investors. Our team combines tech, formulation, dermatology, e-commerce and sales expertise. We’re looking for a mid-senior (4+ years experience) Machine Learning Engineer to help design, build, and scale our production ML systems with ownership from experimentation through to deployment. You’ll work end to end on LLM-powered conversational agents and support the training, optimisation, and deployment of computer vision models that power real customer interactions. 🔧 What We Offer • Train, evaluate and deploy agentic AI systems and computer vision models for real-world use, • Collaborate with product and engineering to integrate ML systems into user-facing features, • Develop and deploy production-quality machine learning frameworks, while maintaining robust MLOps pipelines, • Stay up-to-date with the latest advancements in AI, conduct research, and explore innovative techniques, • Influence key decisions on architecture and implementation of scalable, reliable, and cost-effective engineering solutions ✅ What We're Looking For Must-Haves: • 4+ years experience writing production ready code for machine learning systems, • 2+ years experience developing conversational AI, RAG, agentic systems or LLM-based products, • Familiarity with RAG orchestration frameworks such as LangChain or LlamaIndex.2+, • Experience with production optimisation for RAG systems, including latency, token cost control, context window constraints, monitoring and prompt versioning, • Strong Python skills and experience with PyTorch, TensorFlow or Keras, • Exposure to MLOps practices and hands-on experience with Sagemaker and/or Vertex AI, • Bachelor's degree in a technical field such as computer science or years of equivalent experience, • Comfortable working autonomously and taking ownership in a fast-moving, remote, startup environment Nice-to-Haves: • Masters or advanced degree in artificial intelligence, machine learning, natural language processing, computer vision, or related field, • 2+ years experience training and optimising computer vision models, • Proficiency working with vector stores, data chunking, embeddings, retrieval, ranking and recommendation systems, • Experience with Django or similar Python web frameworks, • Familiarity with Docker and containerised development, • Exposure to CI/CD pipelines and infrastructure-as-code 🌱 What We Offer • Competitive compensation (based on experience and location), • Remote-friendly culture with flexible working hours, • Opportunity to work with cutting edge technologies, • High ownership and real technical influence, • A supportive team that values product excellence and personal growth

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 Overview: We are looking for a highly skilled Simulation Asset & Environment Specialist for an immediate project contract - initial duration will be 2 months with potential to extend beyond. This is a high-impact role bridging the gap between 3D art and Robotics Engineering. You will be responsible for transforming raw 3D models into fully functional, "simulation-ready" assets for NVIDIA Isaac Sim. This is not a pure modelling role; it requires a deep technical understanding of USD structures, physics properties (colliders, mass, friction), and Python scripting for automation. Key Responsibilities: • Asset Prep: Ingest 3D models (USD, FBX, OBJ) and configure them for perception tasks (semantic labelling) and physics interaction (collision geometry, articulation)., • Environment Assembly: Build and validate simulation scenes, ensuring performance optimization (LODs, proxy meshes) and physics determinism., • Pipeline & Logic: Use Python & OmniKit to write behaviour scripts and document the workflow for future scalability. Must-Have Qualifications: • NVIDIA Isaac Sim & Omniverse: Deep familiarity with the interface and toolset., • USD (Universal Scene Description): Strong understanding of layering, variants, and composition arcs., • Physics Simulation: Experience creating convex decomposition colliders, setting joint articulation, and tuning material properties., • Python Scripting: Ability to write scripts for Isaac Sim extensions or asset automation., • 3D DCC Tools: Proficiency in Blender, Maya, or Max for basic geometry adjustment. Contract Details: • Time Commitment: 20-40 hours per week, • Project Duration: Initially 2 months - extendable by mutual agreement, • Start Date: Immediate, • Location: Remote Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at ___, and earn money from your network.

Senior AI Engineer The Essentials Location Remote UK, with expectation for attendance in the office for team meetings (approx. every two months) Employment Type Full-Time, Permanent The Opportunity Are you interested in making a difference by developing products used by the world’s largest Pharmaceutical Companies? Are you interested in working with pioneers in the field of AI and software engineering? Are you interested in innovating for impact? If you are then read on for a role with a difference where you can join our inspiring team and make a big difference with class-leading solutions. We are expanding and looking for an AI Engineer to join our team developing ground-breaking products using the latest AI and LLM (Large Language Model) agentic technologies. Our innovative solutions are transforming the industry, and we are looking for passionate individuals to join us in our mission to revolutionise healthcare in a role with a difference. Job Description We are seeking an AI Engineer with expertise in building scalable, production-grade systems and a passion for AI/LLM technologies and innovation. You will design, develop, and maintain our platform’s backend infrastructure, focusing on multi-tenant architectures, security, and efficient LLM integration. This role requires a strong understanding of Python web frameworks, cloud services (particularly AWS), and modern AI approaches including working with agentic architecture. Key Responsibilities Backend Development & Architecture - Design and implement scalable Python backend services, architect and maintain secure, high-performance, production multi-tenant systems, and develop RESTful and asynchronous APIs for internal and external use. LLM, Agents & AI Integration - Drive R&D innovation to meet client goals by building AI agentic workflows, advanced search, robust interaction and context management, and extending core model capabilities and protocols. Leadership & Collaboration - Collaborate on UI/UX integration, code reviews, architecture and roadmap decisions, and cross-functional work with data science, product, and commercial teams. Data Engineering - Design and maintain efficient data pipelines, ensuring smooth data flow between systems and LLM components while implementing robust validation, transformation, and enrichment processes. Cloud & Infrastructure - Design and implement AWS-based cloud infrastructure using infrastructure-as-code approaches and maintain CI/CD pipelines for reliable deployment and testing Security & Compliance - Operate to the highest security standards as expected by ISO27001 Qualifications and Skills Required Skills and Experience Ø 5+ years of Python backend development experience (fewer years’ experience is acceptable for exceptional candidates) Ø Strong experience of using LLMs/AI in a production setting and use of the latest techniques working with LLMs Ø Strong knowledge of cloud services (preferably AWS) and infrastructure-as-code Ø Experience with containerisation, orchestration, and CI/CD pipelines Ø Understanding of database scaling, caching strategies, and performance optimisation Ø Familiarity with LLM technologies and latest utilisation methodologies, including agentic workflows Ø Strong understanding of software design principles and coding standards Preferred Skills and Capabilities Ø Familiarity with React or other frontend technologies for better cross-team collaboration Ø Experience implementing LLM integration frameworks Ø Background in pharmaceutical or healthcare domain Ø Familiarity of working to ISMS ISO27001 standards Ø Growth mindset combined with tenacity Ø Entrepreneurial approach driven by curiosity and innovation Ø Deep customer centricity What We Offer Ø Competitive salary and benefits Ø Opportunities for professional growth Ø Flexible work hours and remote work Ø Collaborative, inclusive work environment Ø Chance to work on cutting-edge AI technologies with real-world impact Selection process • Screening interview with HR, • Introductory interview with hiring manager/technical exercise, • Capability interview with CEO/team members Circuit Medical Circuit Medical is a well-established, research-driven global consultancy that specialises in delivering comprehensive services to maximise the value of medical affairs and other functions to the biopharmaceutical industry. We proudly support leading global pharmaceutical companies such as AstraZeneca, Roche, Takeda, and many others. As we expand our digital offerings, we are building a suite of products aimed at enhancing quality, efficiency and performance for our clients and ultimately help patient care. Circuit Medical excels by being different, curious, innovative, working with ambiguity, being collaborative, communicative, all for the greater good and always delivering to a high quality. Circuit Medical welcomes everyone and creates inclusive teams where we celebrate different backgrounds, experiences, and perspectives. We encourage colleagues to bring their whole selves to work. We provide equal employment opportunities to applicants and employees without regard to race, colour, religion, age, sex, sexual orientation, gender identity, national origin, or disability. We promote a culture of trust, support, and acceptance.

Senior Web Scraping Engineer 📍 Remote | 🌍 International Team | 🕒 Full-time At WebAutomation, we help businesses unlock the power of public web data at scale. Our products and custom scraping solutions empower organizations to access accurate, structured, and reliable datasets. We are an international, remote-first team passionate about cutting-edge web scraping technologies and large-scale data automation. Role Overview We are looking for a Senior Web Scraping Engineer with strong expertise in Python and Node.js to lead complex data extraction projects. You will design scalable scrapers, overcome advanced anti-bot systems, and build robust pipelines that power our products. This role is ideal for someone who thrives on solving tough technical challenges, can effectively manage multiple projects in parallel, and quickly adapts to changing priorities in a fast-paced environment. Key Responsibilities • Build and maintain advanced scrapers using Python, Node.js, Scrapy, Puppeteer, Playwright, Selenium, • Optimize pipelines for scalability, efficiency, and minimal resource usage, • Debug, maintain, and enhance existing scraping systems under changing site structures, • Handle multiple scraping projects simultaneously while meeting deadlines and quality standards, • Adapt quickly to daily priority changes and shifting project requirements, • Collaborate with product and data teams to ensure accuracy and reliability, • Mentor junior engineers and contribute to best practices in large-scale scraping, • Proficiency in reverse engineering web applications using browser DevTools, network analysis, and debugging proxies (Charles, Burp Suite, mitmproxy), • Expertise in analyzing and extracting data from GraphQL endpoints, including introspection queries and schema discovery, • Experience with WebSocket reverse engineering for real-time data extraction, • Proficiency in analyzing API authentication flows (OAuth, JWT tokens, API key rotation, session management), • Knowledge of browser automation detection evasion (navigator properties, WebDriver detection, Chrome DevTools Protocol), • Experience bypassing CloudFlare, PerimeterX, DataDome and other anti-bot solutions, • Skills in analyzing and replicating complex request signatures and encryption mechanisms Must-Have Experience • 5+ years in web scraping, backend engineering, or data automation, • Expert in Python (asyncio, threading) and Node.js (async/await), • Hands-on with Scrapy, Puppeteer, Playwright, Selenium, • Strong debugging and problem-solving skills for complex scrapers, • Strong multi-tasking skills with the ability to prioritize work in a dynamic environment, • Database experience (SQL/NoSQL, Redis) and caching systems, • Fluent English (written & spoken) Nice to Have • Experience with Flask, Django, FastAPI, • Docker, Kubernetes, and CI/CD pipelines, • R&D or security research background, • Open-source contributions in scraping/data engineering What We Offer • Competitive salary based on expertise, • 100% remote & flexible work environment, • Opportunity to work on cutting-edge web & app scraping projects, • A collaborative international team that values innovation and autonomy, • Professional growth through challenging projects & mentorship 🚀 Ready to push the boundaries of web data extraction? Apply now and join us at WebAutomation to shape the future of large-scale web scraping.

Football Data Engineer We’re helping a leading football club grow their data team. Working directly for the club you will work alongside data science and performance experts and take ownership of all football data pipelines. Turning complex football data into reliable, analysis-ready assets for the team powering decisions across the club. Mainly focussing on the First Team but also having exposure with Reserve, Academy and Youth Teams. Power the game with data. From numbers to goals, driving decisions to create winning results! Essential Skills (Across the pitch): • Python programming skills., • Experience designing, building and maintaining cloud based data pipelines (ETL) for structured and unstructured data from APIs (both internal and external)., • Familiarity with databases, data warehouses and cloud platforms (SQL, Snowflake, AWS)., • An understanding of data quality, testing, monitoring and documentation best practices., • Exposure with football data (either professionally or through personal projects)., • A genuine passion for football (soccer) and a curiosity-driven mindset for how data flows through the modern game. Day-to-Day Duties (In the stadium): • Build, maintain and optimise scalable data pipelines ingesting football data from multiple internal and external sources., • Clean, transform and structure raw football data into impactful, value driven insight., • Ensure data reliability, accuracy and availability across performance, recruitment and analytics teams., • Work closely with data scientists, analysts and football stakeholders to support insight generation., • Contribute to internal platform improvements, tooling and architectural decisions., • Support research and innovation projects by enabling access to new datasets, metrics and data products. Benefits (Beyond the game): • An impact from day one., • Direct involvement with football and the chance to apply data engineering to the real-world football calendar., • Creative freedom to experiment and innovate., • Supportive, collaborative culture that encourages learning and growth., • A vibrant team culture with a shared passion for the sport., • Access to the latest tools and technologies., • Competitive salary, plus an endless list of benefits.

Machine Learning Research Engineer - LLM post-training/mid-training Our team is partnered with a materials discovery stealth venture based in San Francisco and London, led by former Oxford and Isomorphic Labs leaders in AI and experimental science. The team is pioneering large-scale language models that reason, adapt, and accelerate discovery workflows. They are combining experimental validation, synthetic data generation, and scalable infrastructure to push the boundaries of autonomous research. This is a rare chance to be part of the founding team, shaping technical direction and building systems that redefine how science is done. The Role • You will design and implement novel approaches for model adaptation and reasoning, exploring techniques that improve generalization, controllability, and scientific understanding., • This includes mid-training strategies, post-training alignment, and inference-time optimization for complex workflows., • You'll also develop new reasoning paradigms such as retrieval-augmented and tool-augmented approaches and build robust evaluation frameworks for applied scientific contexts. Qualifications: • PhD. or equivalent experience in Computer Science, Machine Learning, or a closely related discipline, • Practical experience working with LLM training pipelines, including pre-training, mid-training, or post-training stages, • Strong grasp of transformer architectures, optimization techniques, and representation learning principles, • Proficiency in Python and familiarity with major ML frameworks such as PyTorch, DeepSpeed, or JAX, • Knowledge of alignment and reasoning strategies, including in-context learning, chain-of-thought, tool integration, or retrieval-augmented approaches, • Ability to combine innovative research thinking with pragmatic engineering to deliver scalable, high-performance systems

Senior Data Scientist Location: Abu Dhabi, UAE (relocation support provided) Compensation: £120,000–£300,000 total compensation (fully guaranteed, all-in) The Role We are building a centralised data function supporting quantitative research and development teams. The role focuses on large-scale unstructured and alternative data and applies statistical and machine learning methods. Much of the work is greenfield, with responsibility for defining data, modelling, and experimentation standards from first principles. What You’ll Do • Build and own ML models and data workflows on large, messy datasets, • Design experiments to assess data structure, signal quality, and robustness, • Develop forecasting, modelling, or optimisation systems that inform decisions, • Analyse model behaviour, regime shifts, drift, and failure modes, • Design repeatable data and experimentation systems, • Translate modelling work into production-grade components, • Own models end-to-end, including monitoring and iteration Who Thrives Here • Strong foundations in statistics, probability, and applied machine learning, • Fluent Python with experience writing production-quality, testable code, • Hands-on experience with large, noisy datasets, • Demonstrated impact through shipped models, production systems, or original work Relevant Experience (one or more) • Market, macroeconomic, or financial time-series data, • Commodities, energy, or asset-level datasets, • Equities-related data (earnings, filings, corporate disclosures), • Alternative or unstructured data used in modelling or forecasting (e.g. transactions, text, imagery, sensor data), • Forecasting, scenario analysis, optimisation, or risk-aware modelling Compensation & Benefits • Fully guaranteed, competitive compensation, • Education allowance for dependent children, • 30 working days of annual leave, • Comprehensive healthcare for employee and family, • Business class relocation flights, • Joining and departure allowances The role is on-site in Abu Dhabi. Short-term remote work during the peak summer months is supported, along with generous leave and public holidays. The working model is designed for long-term sustainability and family life. How to Apply Send your CV and a brief summary of relevant experience to

We are looking for an experienced Senior Machine Learning Engineer to lead the design and production integration of ML into an established live trading system and drive its next phase of development. Building on our early ML research and prototypes, you will design, build, deploy, and operate production ML components that integrate directly with a real-time execution engine – improving decision-making and execution quality with measurable financial impact. This is an excellent opportunity for someone who enjoys autonomy, technical responsibility, and building production-grade ML systems where reliability, latency, and real-world feedback loops matter. What You’ll Do • Lead the design and production integration of ML components into a live, Python-based trading system, • Take early ML research/prototypes and turn them into reliable production models and services, • Build robust training and evaluation pipelines with safeguards against leakage, non-stationarity, and drift, • Develop real-time inference components with clear fail-safes, fallbacks, and graceful degradation, • Create monitoring and observability for production ML (model performance, drift detection, alerts, rollback plans), • Work with high-frequency market data: missing data, late arrivals, outliers, regime shifts, and noisy signals, • Collaborate directly with the Head Trader to translate strategy goals into ML objectives and measurable outcomes, • Partner closely with software engineers on integration, deployment, performance, and operational reliability, • Troubleshoot and resolve production issues quickly during key market hours when needed Essential Skills • Strong Python developer (min. 5+ years professional Python experience), • Demonstrable experience taking ML models from prototype to production (deployment, monitoring, and ongoing operation), • Strong understanding of validation pitfalls (e.g., leakage), time-series/non-stationary dynamics, and model drift, • Experience building end-to-end ML workflows: data ingestion/cleaning, feature engineering, training pipelines, model serving/inference, • Ability to design for reliability: monitoring, alerting, safe deployment, rollback strategies, and incident response, • Comfortable owning and improving an evolving codebase: refactors, architecture improvements, reproducibility, and clean tests, • Strong engineering discipline: correctness, edge cases, careful time-handling, attention to detail, • Comfortable working independently, making architectural decisions, and maintaining high code quality, • UK-based and available for support during core market hours when needed Desirable Skills • Experience with real-time/low-latency systems (streaming data, telemetry, market data, etc.), • Familiarity with production ML monitoring/observability practices and tooling, • Experience with cloud deployment environments (VMs/containers, monitoring, CI/CD), • Background in financial markets, algorithmic trading, or market microstructure (helpful, not required), • Experience with distributed systems, message queues, or event-driven architectures What We Offer • Competitive salary – negotiable based on experience, • Mostly remote, with some in-office collaboration days for coordination and planning, • Yearly bonus based on company performance, • The chance to take significant ownership of production Machine Learning in a live system, • Long-term role with the opportunity to influence the Machine Learning roadmap and system design, • A lean environment with minimal bureaucracy and direct impact

Job Types: Full-time, Permanent Work Location: Remote (UK-based only) Salary: £50,000–£60,000 depending on experience About Us Asseticom is a dynamic software company specialising in asset management data capture solutions for the built environment. Our platform empowers global engineering consultancies, central government, and facilities management firms to optimise asset information through innovative technology, spatial data, and advanced analytics. Role Overview We’re seeking an experienced React Native Developer to join our growing team in the facilities management sector. You’ll develop and maintain features for our mobile application, enabling clients to capture asset data efficiently and reliably. Our stack includes TypeScript, Firebase, Expo, React Navigation, Reanimated and Vision Camera, alongside other high-quality React Native libraries. You’ll have opportunities to explore AI-driven enhancements and contribute to meaningful R&D projects that push the boundaries of spatial data solutions. This fully remote role offers a collaborative, flexible environment with occasional travel for company events. Join a supportive team that values technical excellence, innovation, and work-life balance, working alongside experienced engineers and industry leaders on cutting-edge projects. Note: This role is only open to UK residents with the right to work in the UK. Applications from outside the UK, outsourcing firms, or recruitment agencies will not be considered. Responsibilities Feature Development & Maintenance • Plan, design, and implement performant, user-friendly features using React Native and TypeScript., • Write and maintain unit, integration, and E2E tests to ensure code quality and reliability., • Collaborate with developers, designers, and stakeholders to iterate on features based on feedback. Technical Contributions • Leverage Firebase to build scalable and secure functionality., • Ensure compatibility and optimised performance across iOS and Android platforms., • Contribute to AI-driven feature development and R&D initiatives, exploring innovative use cases for spatial data. Team Collaboration & Growth • Participate in code reviews and engage in regular 1:1 mentorship., • Actively research ecosystem developments and advancements, sharing knowledge with others., • Contribute to team initiatives, with opportunities to take on leadership roles in feature development or cross-functional projects. Required Skills & Experience • At least 3 years of recent, continual experience with React Native in a professional software development environment., • Very strong communication skills. You must speak, write and be able to understand fluent English., • Deep knowledge and regular usage of Firebase suite, especially Firestore., • Strong proficiency in TypeScript and modern JavaScript (ES6+)., • Familiarity with Expo, React Navigation, Reanimated and Vision Camera., • Understanding of mobile app development best practices, including release automation and performance optimisation., • You must enjoy constantly learning and researching to improve your level of expertise. Nice to Have • Experience with native mobile development (Swift/Objective-C for iOS, Kotlin/Java for Android)., • A keen eye for design, accessibility and user experience best practices., • Accomplished in web development., • Experience with Sentry or similar application monitoring tools., • Computer Science or related technical degree., • Familiarity with 360 cameras or spatial data capture technologies. Assessment Process Selected candidates will undergo a two-stage interview process, including a short, take-home practical assessment. Benefits • 25 days annual leave + bank holidays., • Company pension with 3% employer contribution., • Private medical insurance, including mental health support and wellness resources., • Annual budget for professional development (e.g., certifications, conferences)., • Latest generation Apple Mac provided., • Regular company events (virtual and in-person)., • Flexible hours to support work-life balance. Schedule • Monday to Friday, with flexible hours to accommodate personal needs. Note: This is not an exhaustive list of responsibilities or qualifications. Skills will be assessed prior to an offer.

6 month fixed term contract. We are looking for a senior full-stack React developer to help a client continue development of their AI research product. It enables teams to transform their research into interactive customer profiles that power better business decisions. We’re looking for someone with 6+ years experience developing both the back and front end of enterprise software or SaaS products that are used by large enterprises. A small highly collaborative product team consisting of designers and data scientists within a growing consultancy so the ideal candidate will take ownership of the development of the product (alongside the product lead), be a team player and excellent communicator, able to contribute to the roadmap and steer technical decisions. You will be expected to: ● Develop new features working with the data science ● Develop bug fixes and security patches promptly ● Collaborate and contribute to product feature planning (from a technical perspective) ● Lead implementation of testing infrastructure (Unit testing and Integration Testing) ● Lead and guide the development of our SDLC ● Able to help our customers with technical issues ● Be a good communicator and listener who is not afraid to ask questions Skills and experience You must be able to demonstrate the following: ● 6+ years experience full-stack development ● High proficiency with Typescript, React, Next, Azure, Pulumi and Node ● Experience building secure applications ● Good experience writing unit and integration tests with tools like Mocha and Jest ● Ability to deploy and manage our back-end and front-end ● Experience using Supabase

Machine Learning Engineer - Contract (Financial Services, Outside IR35) Duration: 6 months Rate: £650 - £750 per day IR35: Outside Location: UK / Remote We’re seeking an experienced Machine Learning Engineer to support a Financial Services organisation on an initial 6-month contract, working on production-grade ML systems that operate in regulated, high-volume environments. This role is ideal for someone comfortable taking models from research through to deployment, with a strong appreciation for robust engineering, governance, and scalability. Responsibilities • Design, build, and deploy machine learning models into production within a Financial Services environment, • Collaborate closely with Data Scientists, Software Engineers, Risk, and Product teams, • Build and maintain end-to-end ML pipelines (training, validation, inference, monitoring), • Ensure models meet requirements around performance, resilience, and explainability, • Contribute to MLOps best practices, model governance, and technical standards, • Support model monitoring, drift detection, and ongoing optimisation Required Experience • Proven commercial experience as a Machine Learning Engineer, ideally within Financial Services, FinTech, or a regulated environment, • Strong Python skills and hands-on experience with ML libraries (TensorFlow, PyTorch, scikit-learn), • Experience deploying and supporting ML models in production, • Solid understanding of data pipelines, versioning, testing, and software engineering best practices, • Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have • Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases, • Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.), • Docker and Kubernetes experience, • Exposure to model governance, explainability, or regulatory frameworks Contract Details • £650–£750 per day (Outside IR35), • Initial 6-month contract, with strong extension potential, • Immediate or short-notice start preferred

Engineering (PhD) [$73.29/hr] Role Responsibilities • Write and refine prompts to guide model behavior in engineering scenarios, • Evaluate LLM-generated responses to engineering-related queries for technical accuracy, applied reasoning, and completeness, • Conduct fact-checking and verify any technical claims using authoritative public sources and domain knowledge, • Annotate model responses by identifying strengths, areas of improvement, and factual or conceptual inaccuracies, • Assess clarity, structure, and appropriateness of explanations for different audiences, • Ensure model responses align with expected conversational behavior and system guidelines, • Apply consistent evaluation standards by following clear taxonomies, benchmarks, and detailed evaluation guidelines Good Candidature • PhD in Engineering or a closely related field, • Deep expertise in one or more of the following sub-domains:, • Mechanical & Physical Systems Engineering, • Electrical, Electronic & Computer Engineering, • Chemical, Materials & Process Engineering, • Civil, Environmental & Infrastructure Engineering, • Significant experience using large language models (LLMs) and understand how and why people use them, • Excellent writing skills and can clearly explain complex engineering concepts, • Strong attention to detail and consistently notice subtle issues others may overlook, • Experience reviewing or editing technical or academic writing Nice-to-Have Specialties • Experience with applied research, industry engineering workflows, or systems design, • Prior experience with RLHF, model evaluation, or data annotation work, • Experience teaching, mentoring, or explaining engineering concepts to non-expert audiences, • Familiarity with evaluation rubrics, benchmarks, or structured review frameworks

Urgent requirement x5 Snr Data Scientists Start 1st week of Feb 🗓️ 12 month rolling contracts 📄 Inside IR35 💰 £700-£800 per day 🌍 UK, hybrid London (1 day office per week) I need people who have worked on production ready applied data science products, we are not interested in research heavy backgrounds for this project. You’ll be comfortable with ambiguity and will want to dive deep and fix problems at scale. You will be able to develop the prototypes of the models, and do some feature engineering. The environment looks a bit like this 👇 👉 Python (pandas, numpy, scipy, PySpark) 👉 SQL 👉 AWS or GCP (BigQuery / RedShift / Snowflake)

Global University Systems is building a modern AI platform to power how our universities recruit, teach, support, and serve students. The Director of AI will lead this transformation, turning promising ideas into production-grade AI solutions that create real value for students and staff. This role owns the AI roadmap end-to-end: from identifying high-impact use cases, to running rapid experiments, to scaling successful solutions across multiple Higher Education Institutions. What you’ll do: Set vision and strategy • Own and continually refine the AI initiatives portfolio and roadmap for the group., • Run a structured intake process for new ideas, assessing value, feasibility, data readiness, ethical risk, and compliance., • Run time-boxed PoCs (2–8 weeks) and MVPs (8–16 weeks) using Agile methods (Scrum or Kanban) with regular demos and retrospectives., • Build and lead cross-functional squads including Product Owner, Data Scientists, ML Engineers, Integration Engineers, Solution Architect, and domain experts from Admissions, Registry and Student Services., • Design experiments, test hypotheses, and iterate quickly, ensuring human-in-the-loop for critical decisions such as admissions triage or student risk flagging., • Take validated MVPs into production with robust architecture, integration patterns, security controls, SLAs, and operational runbooks., • Establish MLOps across the university environment, including model registry, CI/CD for ML, feature stores, monitoring for drift, and retraining policies., • Build reusable AI platform capabilities (e.g., orchestration, RAG services, prompt safety, connectors) that support multiple domains such as:, • Recruitment & Admissions: enquiry triage, lead scoring, document extraction, and decision support., • Student Records & Registry: data quality checks, anomaly detection, and predictive alerts for progression and retention., • Timetabling & Operations: demand forecasting, optimization support, and conflict detection., • Teaching & Learning: content summarization, tutoring assistants, accessibility tools, and feedback synthesis respecting academic integrity., • Student Support & Wellbeing: intelligent case routing, early warning signals, and proactive nudges designed with strong ethics and safeguarding., • Research Administration: grant discovery, compliance support, and metadata enrichment., • Implement a practical AI governance framework that includes a use case register, risk scoring, impact assessments, model documentation, and audit trails., • Ensure compliance with GDPR, accessibility standards (e.g., WCAG), information security policies, and emerging AI regulations., • Partner with Deans, Registry, Admissions, Student Services, IT, Legal and other stakeholders to align on priorities and rollout plans., • Communicate progress through clear dashboards and storytelling, highlighting wins and lessons learned to build momentum., • Lead RFPs and SOWs for AI vendors, data providers, and implementation partners, including evaluation of cost, performance, and scalability., • Track and optimize cloud and AI platform spend, balancing cost with value; negotiate campus-wide licensing where beneficial. What you bring: Education • Bachelor’s or Master’s degree in Data Science, Computer Science, Business Analytics, or a related discipline. Knowledge and skills Essential • Product and outcome mindset: frames problems as hypotheses, focuses on measurable impact, and is willing to stop or pivot when evidence is weak., • Delivery excellence: strong Agile practices, risk-based planning, and disciplined stage-gates from idea to production., • Technical fluency: able to bridge data science, engineering, security, and business stakeholders, and make informed technical decisions., • Responsible AI and data literacy: understands and embeds ethics, privacy, and accessibility by design., • Experience with major cloud and AI stacks such as Azure OpenAI / OpenAI, Azure ML, Databricks, Kubernetes, and Docker., • Familiarity with data platforms such as Azure Data Lake, Synapse/ADF, Delta Lake, and messaging platforms (e.g., event hubs, service bus)., • Exposure to MLOps and observability tools (e.g., MLflow/model registry, GitHub Actions, Prometheus/Grafana, Evidently AI)., • Knowledge of integrating with SIS (Banner/Workday Student), LMS (Moodle/Canvas), CRM (Salesforce), ERP (Oracle/Workday), and IdP (Azure AD)., • Comfort with collaboration and reporting tools such as Jira/Azure Boards, Confluence, and Power BI. Experience Essential • 6+ years in IT delivery, product, or program leadership roles, including at least 3 years leading AI/ML or advanced analytics initiatives end-to-end., • Proven track record running Agile PoCs and MVPs and scaling them into production within complex organizations., • Strong understanding of AI/ML techniques (e.g., classification, NLP, GenAI, RAG, prompt engineering), data pipelines, APIs, and microservices., • Hands-on experience with cloud platforms (Azure preferred; AWS or GCP also valued) and MLOps tools (e.g., MLflow, Azure ML, Databricks, SageMaker or Vertex) plus observability practices., • Familiarity with higher education processes and integrations across SIS, LMS, CRM, and ERP environments., • Knowledge of data privacy, accessibility, security, and Responsible AI in academic or similarly regulated contexts., • Experience designing or operating an AI platform or shared AI services used across multiple domains or business units., • Hands-on work with vector databases and retrieval pipelines (e.g., Azure AI Search, Pinecone) and guardrails for GenAI., • Background in enterprise architecture and integration patterns (event-driven, REST, GraphQL)., • Relevant certifications such as Agile/Scrum (PSM/CSM), Azure AI Engineer/DP-100, PMI-ACP/SAFe, or security/privacy certifications. If you are excited by the opportunity to shape the future of AI in higher education and deliver impact at scale, we encourage you to apply and join us on this journey.

About A1 A1 is a self-funded, independent AI group, focused on building a new consumer AI application with global impact. We’re assembling a small, elite team of ML, engineering and product builders who want to work on meaningful, high-impact problems. About The Role You will shape the core technical direction of A1 - model selection, training strategy, infrastructure, and long-term architecture. This is a founding technical role: your decisions will define our model stack, our data strategy, and our product capabilities for years ahead. You won’t just fine-tune models - you’ll design systems: training pipelines, evaluation frameworks, inference stacks, and scalable deployment architectures. You will have full autonomy to experiment with frontier models (LLaMA, Mistral, Qwen, Claude-compatible architectures) and build new approaches where existing ones fall short. What You’ll be Doing • Build end-to-end training pipelines: data → training → eval → inference, • Design new model architectures or adapt open-source frontier models, • Fine-tune models using state-of-the-art methods (LoRA/QLoRA, SFT, DPO, distillation), • Architect scalable inference systems using vLLM / TensorRT-LLM / DeepSpeed, • Build data systems for high-quality synthetic and real-world training data, • Develop alignment, safety, and guardrail strategies, • Design evaluation frameworks across performance, robustness, safety, and bias, • Own deployment: GPU optimization, latency reduction, scaling policies, • Shape early product direction, experiment with new use cases, and build AI-powered experiences from zero, • Strong background in deep learning and transformer architectures, • Hands-on experience training or fine-tuning large models (LLMs or vision models), • Proficiency with PyTorch, JAX, or TensorFlow, • Experience with distributed training frameworks (DeepSpeed, FSDP, Megatron, ZeRO, Ray), • Strong software engineering skills — writing robust, production-grade systems, • Experience with GPU optimization: memory efficiency, quantization, mixed precision, • Experience with LLM inference frameworks (vLLM, TensorRT-LLM, FasterTransformer), • Contributions to open-source ML libraries, • Background in scientific computing, compilers, or GPU kernels, • Experience with RLHF pipelines (PPO, DPO, ORPO), • Experience training or deploying multimodal or diffusion models, • Experience in large-scale data processing (Apache Arrow, Spark, Ray), • Prior work in a research lab (Google Brain, DeepMind, FAIR, Anthropic, OpenAI)

About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L Role Overview: Turing is seeking a hands-on Machine Learning Senior Staff Engineer to lead cross-functional teams building and deploying cutting-edge LLM and ML systems. In this role, you’ll drive the full lifecycle of AI development — from research and large-scale model training to production deployment — while mentoring top engineers and collaborating closely with research and infrastructure leaders. You’ll combine technical depth in deep learning and MLOps with leadership in execution and strategy, ensuring that Turing’s AI initiatives deliver reliable, high-performance systems that translate research breakthroughs into measurable business impact. This position is ideal for leaders who are still comfortable coding, optimizing large-scale training pipelines, building collab notebooks that break the models and navigating the intersection of research, engineering, and product delivery. Roles & Responsibilities: • Lead and mentor a cross-functional team of ML engineers, data scientists, and MLOps professionals., • Oversee the full lifecycle of LLM and ML projects — from data collection to training, evaluation, and deployment., • Collaborate with Research, Product, and Infrastructure teams to define goals, milestones, and success metrics., • Provide technical direction on large-scale model training, fine-tuning, and distributed systems design., • Implement best practices in MLOps, model governance, experiment tracking, and CI/CD for ML., • Manage compute resources, budgets, and ensure compliance with data security and responsible AI standards., • Communicate progress, risks, and results to stakeholders and executives effectively., • Overlap of 6 hours with PST time zone is mandatory. Required Skills & Qualifications: • Strong background in Machine Learning, NLP, and modern deep learning architectures (Transformers, LLMs)., • Hands-on experience with frameworks such as PyTorch, TensorFlow, Hugging Face, or DeepSpeed, • Hands-on experience in Docker for Production deployment., • Proven experience managing teams delivering ML/LLM models in production environments., • Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure)., • Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines., • Excellent leadership, communication, and cross-functional collaboration skills., • Bachelor’s or Master’s in Computer Science, Engineering, or related field (PhD preferred). Nice to Have: • Experience building Agentic applications, • Experience training or fine-tuning foundation models., • Contributions to open-source ML or LLM frameworks., • Understanding of Responsible AI, bias mitigation, and model interpretability. Perks of Freelancing With Turing: • Work in a fully remote environment, • Opportunity to work on cutting-edge AI projects with leading LLM companies Offer Details: • Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST, • Employment type: Contractor assignment (no medical/paid leave), • Duration of contract: 2 months; [expected start date is next week], • Timezone : US PST ( 6 hours overlap required 12pm PST to 6pm PST) Evaluation Process (approximately 120 mins): • Two rounds of interviews (60 min technical + 60 min technical & cultural discussion) After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at ___, and earn money from your network. If you are interested in a software engineer role, please ___.

Senior Backend Engineer – High-Scale Systems | Python & FastAPI | Security SaaS • Salary: £75k - £85k plus bonus, • Location: Fully remote, (UK-based), • Sponsorship is not available for this role Prism Digital have partnered with a super interesting and niche VC-backed client specialising in attack surface management and automated red teaming. Their platform provides organisations with real-time visibility into their attack surface and potential exploitable vulnerabilities. They have received numerous awards for being an up-and-coming security SaaS product company and show no signs of slowing down their growth. They've completed Series A funding, raising $29 million across three funding rounds, and are now seeking a Senior Backend Engineer. This role acts as the intersection between two teams - frontend software team and the security research team. You will be responsible for the entirety of the back end features of the products. You will be in charge of building scalable backend services and awesome messaging queues. You will be responsible for developing a Python-based back end platform that's handling 100,000+s of interactions daily. So the ideal candidate will come from a background of working with applications that are processing large amounts of data, transactions or instances daily. Key Requirements: • Python, • Previously worked at a start up / smaller sized company, • 5 years+ experience, • Ability to build software which scales, • Building messaging queues e.g., Kafka (nice to have) This is entirely a Python back-end development role (Python 3), where the core framework used is FastAPI and Kafka for the messaging queues. The data sits in PostreSQL and MongoDB. Benefits • Up to £85,000, • Fully remote, • 28-day holidays (including bank holidays), • Shares options, • Private health insurance via Bupa, • Competitive pension, • Salary reviews every 12 months This role does not accept applicants outside of the UK, nor does it offer sponsorship Senior Backend Engineer | Python, FastAPI & Scaling | Security SaaS • Seniority Level, • Mid-Senior level, • Industry, • Technology, Information and Media, • IT Services and IT Consulting, • Computer and Network Security, • Employment Type, • Full-time, • Job Functions, • Engineering, • Skills, • Back-End Web Development, • Scalability, • Distributed Systems, • Python (Programming Lang Senior Backend Engineer – High-Scale Systems | Python & FastAPI | Security SaaS

Location • Remote, but requirement to meet up once a month for in-person collaboration day, • UK based About Akixi Akixi is a leading provider of SaaS analytics solutions for cloud-based communication platforms, helping service providers and enterprises gain actionable insights from their telephony and collaboration data. Our solutions span Microsoft Teams, Cisco BroadWorks, Webex Calling, and CRM integrations — delivering real-time and historical analytics that improve customer experience and business performance. We are expanding our platform to include advanced AI capabilities — voice and chat assistants, intelligent analytics, and predictive insights — and are seeking an AI Engineer to define and deliver this vision. Job Summary & Purpose Own and drive Akixi’s AI and ML strategy — from concept and architecture through hands-on prototyping and deployment — to embed intelligence into Akixi’s products and analytics platforms. As the AI Engineer, you will define and execute Akixi’s AI roadmap, combining leadership of architecture and engineering practice with hands-on development of prototypes and production features. You’ll partner with Product, Data, and Platform Engineering to design and integrate AI-driven capabilities such as voice/chatbots, natural-language analytics, and predictive models. This role balances strategic technical direction with hands-on implementation, ensuring Akixi’s AI initiatives deliver tangible business and customer outcomes. Key Responsibilities • Lead the definition and delivery of Akixi’s AI strategy and technology roadmap., • Architect scalable AI solutions integrated into Akixi’s SaaS analytics platform., • Prototype, develop, and integrate AI-driven components such as chatbots, voice assistants, ML models, and LLM-based analytics., • Apply prompt engineering and model-tuning techniques to optimize chatbot and LLM behaviour., • Conduct research, proof-of-concepts, and feasibility studies for emerging AI technologies., • Collaborate with Product Management to scope AI features and align them with business goals., • Partner with Data Engineering to operationalize models, manage training data, and implement monitoring and retraining pipelines., • Work closely with Development, DevOps, and QA teams to ensure smooth CI/CD integration and deployment of AI components., • Establish standards for AI code quality, ethics, and data governance., • Mentor engineers working on AI-related projects, fostering technical excellence and innovation., • Evaluate external AI vendors, tools, and frameworks for adoption or integration., • Stay ahead of developments in AI/ML, LLMs, and applied analytics, translating trends into practical opportunities for Akixi. Required Skills & Experience • 4+ years in software engineering, with at least 3+ years focused on AI/ML or data-driven product development., • Proven expertise in developing and integrating AI solutions such as chatbots, voicebots, ML models, or LLM-based analytics., • Strong proficiency in Python (preferred) and/or JavaScript/TypeScript., • Hands-on experience with AI frameworks (TensorFlow, PyTorch, LangChain) and LLM APIs (Azure OpenAI, OpenAI API, Anthropic, AWS Bedrock)., • Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms., • Deep understanding of prompt engineering and fine-tuning of large language models., • Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning., • Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI)., • Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS)., • Ability to design data pipelines, APIs, and microservice integrations supporting AI features., • Excellent problem-solving, communication, and cross-team collaboration skills., • Proven ability to lead technically while remaining hands-on in design and coding. Desirable Skills & Experience • Experience with call/contact-centre analytics, Microsoft Teams Graph API, or telephony platforms (BroadWorks, Webex Calling)., • Knowledge of data governance, model ethics, and MLOps practices., • Exposure to data visualization and predictive analytics for customer-experience metrics., • Advanced degree in AI, ML, Data Science, or related discipline., • ISTQB AI Testing or equivalent certification. Why Akixi At Akixi, you’ll play a pivotal role in transforming how businesses understand and act on communication data. You’ll define and deliver the intelligence layer of a platform used by thousands worldwide — in an environment that values innovation, experimentation, and technical depth. We offer a collaborative culture, hybrid flexibility, and the opportunity to lead meaningful, high-impact AI initiatives from vision to production.

At CloudHQ, our mission is to deliver flexible, efficient, and resilient data center solutions to businesses worldwide. Founded by a pioneer in data center REITs, we are a rapidly growing organization with state-of-the-art data center sites globally in locations such as Ashburn, London, Frankfurt, Paris, Milan, Osaka, and São Paulo. As we embark on an exciting phase of global growth, we are looking for top-tier talent to drive our success and shape the future of CloudHQ. This position can be located out of the UK, France or Germany (London, Frankfurt or Paris preferable) Role Overview The Principal Electrical Engineer, Construction, Electrical Subject Matter Expert will provide technical leadership and specialized expertise in the design, delivery, and management of electrical systems for data center projects across Europe. Acting as a trusted advisor within CloudHQ’s Construction Management team, the Electrical SME will ensure that electrical infrastructure is designed, installed, tested, and commissioned to the highest industry standards. This critical role will focus on delivering high-performance electrical systems, addressing technical challenges, and aligning infrastructure development with CloudHQ’s commitment to safety, reliability, scalability, and energy efficiency. The SME will work alongside stakeholders to champion innovation, compliance, and best practices, driving the successful deployment of mission-critical facilities. Key Responsibilities Technical Leadership in Electrical Systems • Act as the subject matter expert on all electrical systems for data center construction, including:, • High-voltage systems, • UPS systems, • Switchgear and power distribution infrastructure, • Backup generators, • Electrical monitoring and intelligence systems, • Establish technical standards and provide guidance for the design, installation, and commissioning of electrical systems, ensuring compliance with CloudHQ’s specifications, tenant requirements, regional regulations, and industry standards., • Proactively research and recommend technical solutions for redundancy, energy efficiency, and scalability within data center environments., • Provide value engineering recommendations to optimize cost while maintaining the integrity of electrical performance. Project Support and Execution • Collaborate with Construction Management teams, general contractors, and vendors to resolve electrical-related challenges during design and construction phases., • Conduct technical reviews of construction drawings, specifications, and procurement packages to ensure designs align with operational goals for reliability and safety., • Participate in factory witness testing, validating the performance and compliance of equipment (e.g., UPS, generators, switchgear) prior to delivery., • Provide technical oversight during installation and commissioning, ensuring consistency with design documentation and operational requirements., • Contribute to change control processes for electrical modifications, ensuring all changes are assessed for risk, feasibility, and compliance. Compliance and Risk Management • Ensure electrical systems comply with European building codes, electrical safety regulations, and environmental sustainability principles., • Collaborate with commissioning teams and regulatory bodies to resolve compliance challenges during testing and handover phases., • Identify and mitigate risks related to electrical system design, delivery schedules, and installation, driving proactive solutions to avoid delays or operational interruptions. Collaboration and Stakeholder Management • Serve as a trusted technical advisor for internal teams, external contractors, and tenant representatives, providing clear recommendations and insights on electrical systems., • Represent CloudHQ in Owner/Architect/Contractor (OAC) meetings and stakeholder coordination sessions, ensuring electrical objectives remain on track throughout the project lifecycle., • Work with tenant teams to customize electrical solutions, achieving their unique operational goals while aligning with CloudHQ’s design standards., • Build and maintain strong relationships with vendors, utility providers, and industry experts to support smooth delivery and adoption of cutting-edge electrical innovations. Documentation and Reporting • Provide regular technical updates and reports for senior management and stakeholders on electrical system progress, risks, and opportunities., • Maintain comprehensive records of design revisions, testing results, and commissioning documentation for operational and compliance purposes., • Contribute to the development of knowledge-sharing practices, mentoring internal teams and providing training on electrical systems and data center best practices. Required Skills and Experience Technical Expertise • Extensive knowledge of electrical systems design and implementation for mission-critical facilities such as data centers, industrial facilities, or semiconductor environments., • Proven experience with the design, operation, and troubleshooting of:, • High-voltage systems, • UPS systems and power distribution networks, • Backup power systems (e.g., generators), • Precision monitoring and fault-tolerant electrical systems, • Familiarity with energy efficiency technologies and strategies for sustainable electrical solutions in large-scale operations. Construction Management Knowledge • Hands-on experience in the delivery and commissioning of electrical systems during construction-intensive phases, ideally for hyperscale environments., • Skilled in coordinating teams of contractors, vendors, and consultants to deliver electrical scopes within schedule, budget, and quality constraints. Compliance and Regulatory Knowledge • Solid understanding of European regulations and electrical codes, including EN standards governing electrical systems for data centers., • Knowledge of tenant permitting systems and fire safety processes related to electrical installations. Project Management Skills • Strong capability to manage timelines, budgets, and technical deliverables while addressing risk and change challenges., • Proficiency in project management tools (e.g., Microsoft Project, Smartsheet) and design software such as AutoCAD, Revit, and power system modeling tools. Communication and Problem-Solving Skills • Excellent written and verbal communication skills, capable of translating complex technical data into actionable insights for diverse audiences., • Demonstrated ability to resolve technical issues during construction phases, balancing stakeholder expectations with practical solutions. Travel and Flexibility • Willingness to travel extensively across Europe to support project sites, utility meetings, and customer engagement (approximately 50–70% travel)., • Availability to address critical milestones or emergencies during key project phases. Preferred Qualifications Education • Bachelor’s or Master’s degree in Electrical Engineering or a related discipline. Experience • 7+ years of experience as an electrical engineer or subject matter expert, with significant exposure to hyperscale data centers or industrial-scale applications., • Proven track record of delivering complex electrical systems for large-scale infrastructure projects, preferably within developer-led initiatives. Certifications • Certifications such as CEng, LEED AP, PMP, or equivalent credentials are preferred.

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