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Systematic Literature Reviewer / Evidence Synthesis Consultant An exciting opportunity to join a steadily growing Global HEOR consultancy with one of the best staff turnover rates in the entire healthcare consulting space, offering full remote flexibility, a healthy work life balance and genuinely people focused, fun culture! You'll be joining a technically-excellent, supportive, and friendly team, that pride themselves on a inclusive and collaborative culture, a fun, personable company, where technical teams work closely with each other, enabling all to learn from some of the best minds in the industry. The role The purpose of the role is to support and lead on the design and execution of clinical, economic and quality of life systematic literature reviews. You will work alongside expert technical teams to support development of health technology assessment submission dossiers or work with internal systematic review analysts and statisticians to conduct de novo global literature reviews. Role scope/responsibility: Conduct and help supervise systematic literature review and evidence synthesis projects: • Design, • Running of searches, • Review of title, abstract and full papers, • Data extraction, • Quality assessment, • Reporting Undertake and assist in project management activities on SLR projects: • Project planning, • Client communication, • Managing/reviewing the work of other SLR analysts Ideal profile: • MSc/PhD in relevant field, • Extensive SLR experience, including clinical and economic SLR, • Minimum 3+ years in a consulting firm/CRO highly desirable or several years relevant academic or public sector setting, • Hands on experience of network meta-analysis an advantage, but not essential, • Exposure to HTA processes and Pharma clients/private sector clients This is a technical hands on position, giving you a pathway to develop leadership, client management and commercial skills, or stay in the 'technical SME lane' under the guidance and support of an established leadership team. The choice is yours! Apply now for more info on the role, company, and to discuss your motivations in more detail.

In the fast-changing world where our clients deliver life-changing medicines and technology, Cognite’s dynamic team drives our mission of bringing science to life. As an independent agency, we create clear, compelling communications, focusing on the transformative therapies that are inspiring the future of healthcare and the highly complex diseases they treat. Our Copy team enjoys independence and ownership across a wide variety of projects. Supported by our expert Editorial and PromoMats teams, our writers are able to truly focus on turning complex science into compelling stories and brand messages. We are looking for a Principal Medical Writer to join our growing team. You will be responsible for: • Developing an in-depth scientific knowledge of allocated accounts and using this to shape the communications for our clients’ brands, • Taking the lead on scientific discussions with medics and external experts, proactively making suggestions that are valued by the client, • Developing content for a full range of projects and taking wider responsibility for work on allocated accounts by overseeing, briefing and reviewing the work of other writers, • Contributing to the scientific strategy and ensuring messaging and content are aligned with the overall brand strategy, • Collaborating with internal colleagues, including account managers, creatives, editors and medical strategists, to ensure the seamless delivery of projects, • Sharing knowledge and expertise, as well as providing expert advice and guidance on brands and therapy areas to internal stakeholders, • Staying updated on industry trends, guidelines and best practices to inform and enhance the quality of our medical writing, • Contributing to business growth by proactively identifying opportunities, attending pitches and contributing to written proposals With a deep interest in science and medical communications, we believe someone with the following experience could be a good match for this role: • An undergraduate degree in a relevant science (essential) or a postgraduate qualification or PhD (desirable), • Proven experience in medical writing within a medical communications agency or similar environment, • Excellent written and verbal communication skills, • Ability to work both independently and collaboratively in a fast-paced environment Cognite’s agency values – Everyone matters; Science at the heart; Entrepreneurial Mindset; True partners; and Doing the right thing – shape how we work every day. We believe every individual can make a positive difference; we put science at the core of everything we do; we embrace curiosity and courage to find solutions; we build lasting partnerships focused on shared goals; and we act with integrity and inclusivity in all our interactions. Our benefits include: • Discretionary company bonus and incentive schemes, • Hybrid working (home-based + co-working space in Holborn, Central London), • Private healthcare, • Frequent social and team events, • 24 days’ holiday + bank holidays

The Role We are looking for a Senior/Lead LC-MS Scientist (Proteomics) to support the design, development and implementation of our translational biomarker tests. We apply these tests to support pharmaceutical companies developing new medicines across therapeutic areas. The aim of these tests is to deliver treatment efficacy, targeted engagement or patient stratification biomarkers which would be used on clinical trials to aid the development of new therapies as well as for marketed drugs as companion/complementary diagnostic tools. The key responsibilities of a Senior/Lead LC-MS Scientist (Proteomics) include, but are not limited to: • Designing biomarker studies according to client needs, • Developing detailed LC-MS/MS analytical method protocols for implementation by laboratory staff, • Analysing LC-MS/MS data, generated on ThermoFisher, Sciex, Waters and other triple quadrupole and high resolution instruments, • Communicating study results and scientific rationale to clients, • Liaising with laboratory staff to deliver the projects to agreed timelines and budgets, • Contributing to grant, patent applications and scientific publications., • Maintaining LC-MS instruments & other lab equipment This is a lab-based, on-site role, located at Alderley Park near Macclesfield & Manchester A bit about us At Inoviv, we are building a world where every treatment reaches its full potential, powered by timely and precise proteomics insights. Using our unique technology platform in combination with targeted mass spectrometry, we develop new biomarker tests that quantify molecules in biofluid samples with high accuracy and reproducibility. The aim of these tests is to deliver diagnostic, prognostic or treatment efficacy data which can be used in clinical trials to aid the development of new therapies, as well as for marketed drugs as companion/complementary diagnostic tools. We are working closely with pharmaceutical companies to help patients with neurodegeneration (Alzheimer’s, Parkinson’s, muscular dystrophies), kidney disease, cancers and other conditions. We are a team of passionate individuals supported by academic and commercial advisors from Oxford University, King’s College London, Imperial College London, Charité University Hospital and Olink. We are also backed by the world’s leading talent investor Entrepreneur First. We are based in central London and are open to flexible or fully remote working. More about us here: Why this is a great role: • Accelerated career development - the responsibilities of the role will be growing fast, in line with the growth of the company., • You will be developing the next generation biomarker tests which have the potential to impact drug development and advance precision medicine., • Dynamic working environment with virtually no bureaucracy., • You will be a crucial team member with the power to make a real, tangible impact on the company and influence how we grow the business., • This is a permanent, full- or part-time, office- or home-based position., • You will have employee share options meaning you will own part of the company. The candidate’s qualifications and experience should include: • PhD or equivalent experience in biochemistry/ molecular biology/ analytical chemistry/ mass spectrometry or a related discipline., • 3+ years of hands-on industry experience with LC-MS/MS platforms, including triple quadrupole mass spec systems., • Broad experience in biomarker assay development and delivery, preferably in a regulated environment., • A proven track record of successful publications in peer-reviewed international scientific journals., • Experience in targeted proteomics, lipidomics and/or metabolomics is highly desirable., • LC-MS/MS experience in the context of neurodegeneration research and experience in bioinformatics is an advantage. How to apply If you would like to join this exciting, forward-thinking company and take the next step in your career, then please get in touch. Please apply on LinkedIn. More on our hiring process here: Inoviv is committed to equality and values diversity. Read about our "Biomarkers of Belonging" here: If you don’t meet all of the criteria above but have a interest in joining our team and mission please get in touch.

Quantitative Analyst – Fundamentals Modelling Nanook is a specialist investment manager applying rigorous quantitative modelling to global energy markets. We are expanding our Quant Fundamentals team and are looking for a Quant Analyst to build models that explain and predict complex real-world systems. The Role You’ll join a team of quants working on large-scale models across global Gas and Power markets, using data to quantify relationships, test hypotheses and generate forecasts. You will: • Analyse large, noisy datasets to identify and quantify relationships between variables, • Build and validate predictive models to explain system behaviour, • Estimate model parameters and assess uncertainty using appropriate statistical techniques, • Apply machine learning and data science methods where useful, • Work closely with analysts and traders to translate models into investment decisions What We’re Looking For Essential • PhD (completed or near completion) in Applied Mathematics, Physics, Statistics, Computer Science or similar, • Experience building statistical or predictive models from real-world data, • Strong understanding of probability, inference and uncertainty, • Experience validating models using out-of-sample testing or similar approaches, • Programming experience in Python and/or R, • Comfortable working with large datasets, • Experience with machine learning, including neural networks, • Familiarity with TensorFlow / Keras, • Research-driven modelling problems with real commercial impact, • Collaborative, intellectually rigorous culture, • Competitive salary and bonus, • 8% pension, healthcare and life insurance

AI SOLUTIONS LEAD - PERMANENT - LONDON Must hold or be eligible for SC Clearance The Role Requirements Solution Design • Lead the end-to-end design of Microsoft AI-driven business solutions., • Translate complex business challenges into scalable, secure, and high-performing architectures., • Collaborate with clients, delivery teams, to define solution roadmaps and strategies., • Serve as a subject-matter expert on AI capabilities., • Guide clients in selecting and adopting the right AI tools for their business needs., • Stay ahead of product updates and roadmap to advise on innovation opportunities., • Lead demos, proof-of-concepts, and workshops to showcase value and drive adoption., • Act as a trusted advisor to senior stakeholders, shaping AI strategy and solution vision., • Support pre-sales activities including proposals, solutions, and client presentations., • Oversee delivery quality, ensuring solutions meet business objectives and technical excellence., • Champion high-quality solution design standards and best practices., • Proactively manage capacity, skills, and resource availability., • Contribute to practice development-operations, recruitment, and team initiatives., • Execute operational tasks with precision to enable smooth delivery., • 6+ years in consulting, product, or technical advisory roles., • Demonstrate strong sales and pre-sales experience, with a clear ability to engage clients and manage relationships., • Proven experience in designing and delivering AI or data solutions., • Demonstrate a consultative approach, with evidence of understanding client pain points and delivering business-focused solutions., • Strong experience with Microsoft AI Capabilities - Copilot Studio, agentic., • Ability to demonstrate awareness of the latest Microsoft AI product roadmap or best practices, especially around Copilot Studio., • Articulate evidence of experience with end-to-end solution design and delivery for complex Microsoft AI projects at scale., • Skilled at bridging business and technical domains with excellent communication and consulting skills., • Provide structured data-driven responses to technical and analytical questions., • Articulate business value and outcomes, especially in the context of AI-driven process improvements., • Functional expertise in AI technologies, business processes, and cloud deployment., • Experienced in managing client and partner relationships, driving value and successful outcomes., • Skilled at leading and mentoring teams, ensuring performance and growth., • Advanced degree (M.Sc., MBA, or PhD) in Computer Science, Engineering, Finance, or Business., • Microsoft certifications across Microsoft 365, Dynamics 365, Power Platform, Copilot, SharePoint, Azure, Fabric (highly desirable)., • Product, Solution, and/or Delivery certifications preferred., • SC Clearance. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

Job Description About Us MediaTek is a key player in the semiconductor industry, with more than 40 offices worldwide. MediaTek Research is our dedicated research lab at the forefront of artificial intelligence. We focus on fundamental AI research aimed at advancing the broader scientific community, as well as applied AI research with potential impact on chip design and communication systems. We are committed to open science and regularly publish in top conferences such as NeurIPS, ICML, ICLR, and ACL. About The Internship We are seeking highly motivated and talented PhD students to join our AI research team for a 3–6 month internship. This is an opportunity to contribute to cutting-edge projects alongside experienced researchers and engineers, while gaining real-world research experience in a collaborative environment. The internship is ideal for individuals who are curious, self-motivated, and excited to work at the intersection of theory and application. Interns are encouraged to explore bold ideas, contribute to meaningful research, and take ownership of their work. Our team operates in two main directions: one focused on applying AI to the design and optimization of semiconductors and communication systems, and the other dedicated to fundamental research that supports both our applications and the broader scientific community. Current areas of interest include large language models (LLMs), optimization methods for deep learning, reinforcement learning (RL), and generative models. Responsibilities:- • Contribute to ongoing research in machine learning and artificial intelligence, • Help develop and implement algorithms, • Collaborate with researchers and engineers to explore and evaluate new ideas, • Assist in preparing publications and technical reports, • Currently enrolled in a PhD program in Machine Learning, Artificial Intelligence, Mathematics, Computer Science, Physics, or a related field, • Strong interest in research and a background in machine learning or a related area, • Experience with programming languages such as Python, C++, or similar, • Strong problem-solving skills and ability to work independently and collaboratively, • Experience in optimization, reinforcement learning, and/or large language models (LLMs), • Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX), • Gain hands-on experience in state-of-the-art AI research with real-world applications, • Collaborate with a team of world-class researchers and engineers, • Contribute to open-source efforts and scientific publications, • Work with and learn from leading academic and industry experts, • Hybrid work arrangement

My client is a start-up Quant hedge fund founded by a Math Postdoc and a Fields Medallist. They are aiming to launch next year and are currently hiring in Miami, London and Milan. Role Contribution to production proprietary trading systems and create and deploy Machine Learning and Airtifical Intelligence models and experiment with trading ideas. Required Experience training Machine Learning models end to end (from data processing to fine tuning), experience training across transformers / generative models / RL, with publications in either top tier ML conferences (e.g., NeurIPS, ICLR, ICML, JMLR, etc.) or top scientific journals, top tier institutions / industry experiences. Positives PHD

We are looking to recruit a dynamic and experienced Senior Research Manager to manage a high profile National Institute for Health and Care Research (NIHR) portfolio of clinical and applied health research infrastructure funding schemes. These schemes drive the delivery of research breakthroughs into life saving treatments for patients, driving innovation and enabling the UK’s international competitiveness in crucial areas of experimental medicine, applied health and care research. Job Description Reporting to a Programme Lead, and working closely with the Assistant Director of Research Infrastructure, and the Department for Health and Social Care, the postholder will lead the planning and delivery of all activities for their portfolio of research infrastructure schemes. This will include the development of the strategic direction for future funding competitions; leading on the delivery of funding competitions and the management of awards and working with internal and external stakeholders to capture impact, promote collaborative working and other priority areas relevant to your schemes portfolio. We are looking for someone with a broad perspective of academia, funding, project management and health related policy. You will liaise with internal and external stakeholders and provide our community of researchers with support and advice. You will be confident interacting with your peers and the external scientific community; able to demonstrate critical thinking and an ability to influence and build productive relationships. Meticulous project management skills, with the ability to deliver multiple priorities simultaneously. Key Accountabilities: • Funding strategy: Review and improve existing schemes to guide future funding calls, • Research commissioning: Lead new competitions plan projects, draft guidance, organise panels and provide applicant feedback, • New calls development: Respond to DHSC/NIHR priorities, design assessments and implement monitoring processes, • Stakeholder engagement: Support researchers, raise award visibility and foster collaboration among award holders, • Contract & reporting: Manage contractual changes, respond to FOI/Parliamentary requests, review progress and flag concerns, • Team support: Provide flexible, high level assistance during peak periods and rotate schemes to enhance team learning Experience and Technical Skills Required Criteria: • PhD or equivalent in biomedical/health sciences research, or significant sector experience, • Substantial relevant experience in research funding allocation, research management (NHS/HEIs), industry, or academia, • Strategic thinker with the ability to interpret complex information and maintain a “big picture” perspective, • Interest in health and care research funding and policy, understanding strategic issues, • Project planning & management skills, able to prioritise multiple tasks under tight deadlines Desirable Criteria: • Line management and staff development experience Compensation, Benefits & Working Arrangements: • Salary: £48,600 to £51,300, • Location: Twickenham , London / Hybrid working model, • Contract Type: Full Time, 12 month FTC, • Working Hours: 37.5 per week, • Annual Leave: 25 days, plus UK public holidays Employee Benefits Include: • Annual bonus, subject to company performance, • Enhanced Contributory Pension Scheme, • Life Insurance Cover, • Benenden Healthcare Membership, • Training and Development Opportunities, • Season Ticket Loan NB: This is a hybrid role based at our office in Twickenham, London with a minimum requirement of one in office day per week. This requirement may increase based on team needs or operational demands. How to Apply If you are excited about the prospect of joining our team and believe you possess the relevant skills and background, we invite you to apply. Please submit your CV along with a 'Statement of Suitability' that showcases your key skills and experiences in relation to the 'Required Criteria' outlined in the job description. Additionally, share your enthusiasm for working with the LGC Group. Closing date for applications is 5pm on the 9th January 2026, interviews to be held from the 15th January. Inclusion and Diversity LGC strongly believes that every job applicant and employee should be valued for their individual talents regardless of age, disability, race, color, ethnic or national origin, sex, sexual orientation, gender reassignment, marital or civil partnership, pregnancy or maternity, religion, or belief. Short listing, interviewing and selection will always be carried out without regard to gender, sexual orientation, marital status, color, race, nationality, ethnic or national origins, religion or belief, age, or trade union membership. We are committed to ensuring our recruitment process is inclusive and accessible to all. If you have any accessibility requirements please contact Carl by email to arrange appropriate support.

We're currently supporting an Energy Trading Firm in their search for a Front Office Quantitative Risk Analyst focusing on designing, developing and maintaining risk metric calculations and models. The team is also responsible for the implementation of model risk frameworks. Technical requirements • MSc or PhD in Mathematics, Physics, Statistics, Economics or similar, • Experience in developing and maintaining production risk metric calculations and models (VaR, PFE, CaR, Liquidity at Risk), • Day to Day maintenance of VaR & PFE, • Strong knowledge of commodity markets - Energy, Oil, Metals, Agriculture, • Strong programming skills in Python or MATLAB. Work pattern: 3 days a week in the office (flexibility where required) The salary banding for the role is £90,0000 - £105,000 + benefits and bonus. If you believe you would be a good match for the role please apply!

For almost 50 years, Williams Racing has been at the forefront of one of the fastest sports on the planet, being one of the top three most successful teams in history competing in the FIA Formula 1 World Championship. With an almost unrivalled heritage of engineering and racing F1 cars and unforgettable eras that demonstrate it is a force to be reckoned with, the British squad boasts 16 F1 World Championship titles to its name. Since its foundation in 1977 by the eminent, late Sir Frank Williams and engineering pioneer Sir Patrick Head, the team has won nine Constructors’ Championships, in association with Cosworth, Honda and Renault. Its roll call of drivers is legendary, with its seven Drivers’ Championship trophies being lifted by true icons of the sport: Alan Jones, Keke Rosberg, Nelson Piquet, Nigel Mansell, Alain Prost, Damon Hill and Jacques Villeneuve. The team has made history before and is out to make it again with a long-term mission to evolve and return to the front of the grid. Job Description This is an exciting opportunity to join one of the most iconic and successful race teams in the world, Williams Racing. The Senior Associate will join the Williams Education team. Williams Education is an exciting new venture aimed at expanding access to world-class Science, Technology, Engineering and Maths (STEM) education via a suite of through-life offerings (from primary school through to university). This individual will play a key role in building the long-term vision of Williams Education, determining the right offerings, and ensuring each offering is delivered – generating a meaningful impact on the UK STEM education landscape. Today, Williams Education has one offering, a one-day STEM Experience onsite at its campus in Grove, Oxfordshire. Students aged 8-16 join Williams for a free, taking part in a workshop that embed STEM skills through the lens for Formula 1, trying their hand at racing on our Esports Simulators, and view 20+ heritage cars in the museum. This role will help determine what models we pursue next, ensuring we are solving real customer needs and leveraging cutting-edge methodologies in STEM education. Main Duties: * Conducting regular assessments of the UK Education landscape (from primary through to Phd) and the existing and innovative models for corporate involvement * Scoping, evaluating, and executing new growth opportunities to accelerate Williams Education by leveraging key insights gained through research and data analytics * Driving hypothesis-driven quantitative and qualitative research such as analyses to understand our addressable market, competitive landscape, customer interviews/surveys, and/or concept testing to identify actionable insights that shape our strategy * Identifying and analysing established and emerging STEM and education organizations with compelling business models and growth frameworks that could inform our own strategy * Create operating and financial models to bring the growth opportunities to life, including approaches to commercialize * Communicating your findings and recommendations to all levels of cross-functional management, c-suite and board through clear presentations that you will then drive through execution * Developing cross-functional project plans to seamlessly deliver growth opportunities * Identifying and mitigating execution risks, taking both a proactive approach and escalating risks to leadership as necessary * Improving upon process foundations for how we take growth opportunities from ideation to execution as part of our overall go-to-market strategy process * Creating KPIs/OKRs for each offering, and the related dashboards to monitor each offering’s impact Key Accountabilities: . * Master in leading cross-functional projects and managing multiple senior stakeholders * Exceptional verbal and written communication skills * Natural facility with data analysis for testing hypotheses and measuring results * Ability to seamlessly manage multiple, complex processes and work streams simultaneously * Exceptional relationship-building skills and willingness to proactively work with cross-functional teams across the company * Excellent, independent time management and prioritization Qualifications • 5+ years of relevant experience developing and executing business strategy, (e.g., go-to-market and/or product recommendations) in an strategic/operational role, consulting firm, or investment bank; MBA a plus Demonstrated experience in presenting data, insights and recommendations to senior executives (e.g. C-level, VPs, etc.) * Experience with a broad array of UK Education organizations Additional Information We fuel our team with a competitive benefits package, including generous holidays, vibrant staff events, a subsidised onsite restaurant, and a range of car schemes. Stay energised with 24/7 access to our gym and free fitness classes like outdoor boot camps, Pilates, and Yoga. With free parking and sprawling green spaces, you’ve got the perfect space to recharge and refocus. Join a fast-paced, future-thinking team that’s driving innovation and pushing past engineering boundaries. Atlassian Williams Racing is an equal opportunity employer that values diversity and inclusion. We are happy to discuss reasonable job adjustments.

Lead Data Scientist Up to £125,000 London (Hybrid, 2-3 days onsite per week) Company: This private equity and investment start-up are focused on streamlining and improving performance by reimagining value creation capabilities. They are utilising cutting-edge AI to generate performance insights on each aspect of the investment lifecycle. Responsibilities: • Build machine learning predictive models to anticipate/avoid asset downtime and reducing customer churn, • Evaluate and optimise all models, identifying areas for development, • Work end-to-end both building and deploying models, • Stay updated with the latest developments in ML/AI, and related fields to keep the company at the forefront of technological advancements, • Stay updated on emerging technologies, trends, to recommend and implement innovative solutions that drive business value., • Remaining technically very hands on whilst mentoring Requirements: • MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields., • Strong coding skills in Python and SQL, • Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment.

• Own product design execution from end to end, • Work closely with engineering, R & D and implementation, • Drive the visual design of user interaction, • Create aesthetically pleasing product UI and reporting, • Conduct research and usability testing, • Adopt new tools including AI assisted design and coding tools, • Align design work with business and customer goals, • Report to the CTO, • Must have 5 years + in product design and UI visualisations, • Deep experience in end to end software product design within the cybersecurity SaaS arena, • Should excel at visual design, • Degree educated, • Articulate with a collaborative approach, • Seed funded start-up, • Tech has been spun out of PhD group at leading University, • Office locations in USA and the UK, • Disruptive offensive AI security platform that enables organisations to map their AI attack surfaces, • Impressive leadership team with rolodex of successful exits behind them

I am looking for a proactive and analytical Research & Marketing Manager to lead market research and marketing strategies across a diverse property portfolio, including retail assets and luxury student accommodation. This role suits someone who is passionate, intellectually sharp and eager to learn, whether you are an ambitious graduate or an experienced professional. Key Responsibilities: Market Research and Strategy • Collect, validate and analyse data such as footfall, sales figures and customer demographics, • Research and position asset brands to attract and retain target audiences, • Identify opportunities to increase footfall, dwell time and customer spending, • Develop tenant mix strategies and maintain a pipeline of prospective tenants Marketing • Create and manage digital content strategies across social media platforms, • Deliver impactful marketing campaigns and placemaking initiatives, • Explore commercial partnerships and sponsorship opportunities, • Prepare marketing materials to support leasing strategies PR, Events and Community Engagement • Act as the first point of contact for media and community enquiries, • Plan and deliver high impact events and conferences, • Engage with tenants to gather feedback and enhance customer experience Qualifications and Skills • Degree from a recognised institution (Bachelor’s, Master’s or PhD) in marketing, communications, business or related fields, • Strong analytical and quantitative skills, • Excellent communication and stakeholder management abilities, • Proficiency in PowerPoint and presentation design, • Collaborative mindset and high attention to detail Benefits • Competitive salary, • Private health insurance, mobile allowance, gym membership, • Professional development and career progression opportunities

Data Scientist Up to £110,000 London (Hybrid, 4 days onsite per week) About the role: Join a leading corporate venture capital firm, within the secondaries space who invest and partner with start-ups across multiple industries, helping them scale and achieve global impact. Key Responsibilities: • Collaborate with the deal team to pinpoint where data science can add value to the investment process., • Create data tools and dashboards to support investment decisions and portfolio monitoring., • Analyse large datasets to derive actionable insights for investment strategies, effectively communicating these to senior stakeholders., • Work with the VP of Data and the investment team to improve data solutions., • Proactively investigate new data science methodologies and technologies to benefit team objectives. What We’re Looking For: • MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields., • Strong coding skills in Python and SQL, • Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment Please note that this role does not offer visa sponsorship

Head of Cheminformatics and Data Architecture About Nxera Pharma Nxera Pharma is establishing a new AI enabled discovery initiative to build a high throughput AI and physics driven GPCR discovery engine that augments our world class experimental capabilities and extensive proprietary structural and chemogenomic data assets originating from Heptares Therapeutics. This initiative sits within our newly formed Computational Sciences team alongside Research Informatics, Chem Informatics and Bio Informatics. AI is being deployed across the NxWaveTM platform, trained on the industry’s most extensive proprietary GPCR structure–ligand dataset and paired with our curated chemogenomic library of GPCR focused small molecules. Our mission is to unlock the vast untapped potential of G-protein-coupled receptors (GPCRs) using computational and experimental innovation to design first-in-class therapeutics across metabolic, neurological, immunological, and rare diseases. As part of Nxera’s mission to redefine how new medicines are discovered and to fully leverage advances in AI, quantum mechanics and next generation data integration, we are seeking a Head of Cheminformatics and Data Architecture. The Role The Head of Cheminformatics and Data Architecture will define how chemical, biological, and data ecosystems integrate to power our discovery engine. You will lead a world-class team responsible for cheminformatics innovation, molecular data architecture, and the integration of AI/ML platforms (MLOps) to accelerate small molecule design and optimisation. What You’ll Do • Strategic Leadership: Define and execute Nxera’s cheminformatics and data architecture vision across discovery and early development., • Data Architecture & Infrastructure:, • Architect and oversee scalable data frameworks that unify chemical, biological, and structural data across the enterprise., • Partner with Discovery and Platform teams to ensure seamless data flow, standardisation, and accessibility for scientific users., • Implement FAIR (Findable, Accessible, Interoperable, Reusable) data principles across discovery workflows., • Cheminformatics Innovation:, • Advance the use of computational chemistry, molecular modelling, and AI-driven structure–activity prediction., • Lead the design and deployment of internal cheminformatics platforms, APIs, and visualisation tools., • Cross-functional Collaboration: Partner with Discovery scientists to develop predictive design capabilities and multi-modal data strategies., • External Engagement: Represent Nxera in strategic collaborations, conferences, and partnerships with technology providers and academic leaders., • Leadership & Mentorship: Build, inspire, and grow multidisciplinary teams spanning cheminformatics, data architecture, and computational sciences. What You’ll Bring • PhD in Chemistry, Computational Chemistry, Cheminformatics, or related field., • 10+ years in pharma/biotech R&D with at least 5 years in senior leadership roles., • Proven expertise in building and managing cheminformatics platforms and data ecosystems., • Deep understanding of data architecture principles, ontologies, and modern data stack technologies (cloud-native, API-first, microservices)., • Hands-on experience with ML/AI model integration into cheminformatics workflows., • Strong track record of advancing discovery programs through computational and data-driven innovation., • Exceptional communication and leadership skills, capable of influencing across technical and executive domains. Why Join Nxera Pharma • Lead the evolution of AI-driven molecular discovery in a company built on scientific integrity and purpose., • Work at the nexus of mathematics, machine learning, and molecular biology, redefining how therapeutics are discovered., • Collaborate with world-class researchers and engineers united by a mission to bring precision medicines to patients faster. What’s in it for you? • State-of-the-art R&D centre located in the heart of the Cambridge science cluster - for Cambridge hires, • Competitive compensation package including discretionary cash bonuses, • Eligible for grants of Restricted Stock Units, • 26 days annual leave in addition to public holidays plus the option to purchase an additional 5 days each year, • Employer contribution to pension, • Private Medical Insurance for employees and family and a cash plan for dental and optical reimbursement, • Health and wellbeing benefits including a subsidised individual gym membership, • Income protection to cover long term absences due to ill health, • Group Death in Service equal to 4x basic annual salary At Nxera Pharma, we are passionate about delivering life-changing medicines to patients. We foster an open and welcoming environment where everyone can bring their authentic self to work, harnessing our individual strengths to succeed together. We value our culture rooted in a diverse mix of minds, backgrounds, and abilities, with a deep sense of belonging. For us, inclusiveness is a reflex, not an initiative. We are achieving this through a consistent commitment to fairness, equal opportunity, and equity. Applications should include a CV and covering letter, providing a short description of the background of your interest in the role. Join us at Nxera Pharma — where AI meets biology to transform the future of medicine.

We are seeking a highly skilled and motivated Quantitative Strategist to join our front-office team. This role is central to building, maintaining, and enhancing models and applications that drive trading, risk management, and portfolio construction across the firm’s global Rates business. You will work directly with portfolio managers, traders, and risk managers to deliver innovative quantitative solutions in a fast-paced, high-impact environment. Responsibilities • Develop and enhance pricing, risk, and relative value models for rates products, including government bonds, swaps, futures, swaptions, and inflation-linked products., • Build scalable risk platforms and analytics libraries to support intraday and end-of-day trading and risk management., • Collaborate with portfolio managers and traders to design and implement quantitative trading strategies and risk views., • Partner with technology teams to integrate models into production systems, ensuring robust, low-latency, and scalable implementations., • Conduct research and prototyping for curve construction, scenario analysis, VaR, PCA decomposition, and other advanced risk metrics., • Leverage Python, C++, and/or Java for model development, prototyping, and data analysis; use SQL and kdb+/q for large-scale market and trade data handling., • Develop dashboards and visualization tools for portfolio and risk monitoring, ensuring transparency of exposures and P&L attribution., • Advanced degree (Master’s/PhD) in Quantitative Finance, Mathematics, Computer Science, Physics, Engineering, or a related discipline., • Experience as a Quant, Strat, or Risk Developer in Rates at a top hedge fund, bank, or trading firm., • Deep understanding of fixed income and derivatives products, including yield curve modeling, risk factors, and pricing frameworks., • Strong programming skills in Python and at least one other language (C++ or Java)., • Experience with large-scale data platforms (SQL, kdb+/q, or similar)., • Ability to communicate complex quantitative concepts clearly to both technical and non-technical stakeholders., • Familiarity with market data sources (Bloomberg, Refinitiv, etc.) and data APIs., • Experience in building risk platforms or contributing to cross-asset risk infrastructure., • Prior exposure to machine learning methods applied to fixed income or macro trading strategies.

Meridian Life Science, (Life Science division) of Meridian Bioscience is a developer and manufacturer of raw materials for both immuno and molecular diagnostics applications. Our approach to new product development is to enable our customers with new technical capabilities while ensuring market leading performance through a large portfolio of antigens, antibodies, blockers, molecular enzymes, nucleotides, and optimized mixes for various nucleic acids amplification technologies. We are looking for a talented and passionate Senior Scientist to join the R&D team and help us drive our vision. Our diverse and proactive culture will allow successful candidates to discover and create cutting edge solutions. The Senior Scientist will take part to Meridian’s new product development efforts, focusing on expanding the molecular products portfolio. The position holder will lead the technical development of new molecular reagents and associated methodologies, while working according to ISO 13485 standards. The role may provide on a project need basis supervision for other team members, planning and coordinating various experimental work and troubleshooting. Duties and Responsibilities • Assist the R&D Manager/Team Leader on a variety of scientific projects, including new product development, assay design, data generation and troubleshooting., • Lead the technical development of new products, being responsible of product design, experimental project planning and execution and communication of findings and progress to different stakeholders., • Design, develop, and verify designs for a wide range of molecular biology reagents, including PCR, isothermal amplification, and Next Generation Sequencing applications., • Establish and disseminate technical knowledge and good laboratory practices in the group., • Work to ISO13485 standards and understand their requirements., • Independent planning, execution and troubleshooting of experiments., • Write literature to support product launches., • Keep accurate laboratory records., • Assist with customers’ technical support activities., • Hands-on experience in designing assays or enzymatic reactions using molecular biology technologies (e.g. end-point PCR, real-time PCR, LAMP, NGS), • Experience in protein chemistry (protein design, expression, purification), • Demonstrated expertise in protein characterization (biochemical and/or functional), • Good understanding of chemical principles involved in buffers, stabilizers, enhancers, fluorescent chemistry etc. used with commercial enzymes and enzymes mixtures., • Excellent written and oral communication skills and ability to interact effectively with an interdisciplinary group. Desirable: Hands-on experience with Design of Experiments or similar methodologies. Experience in NGS wet chemistry development or workflow optimization. Experience in molecular diagnostics assay development and optimization. Knowledge and experience with lyophilization processes. Experience in carrying out scientific activities within Quality Systems. Education or Equivalent Experience. • A PhD or equivalent in Protein Biochemistry, Molecular Biology or equivalent in Life Science or Chemistry, • 3+ years of experience in industry or equivalent in an active research laboratory. Required: • Demonstrated capability to drive efficiently scientific project to success., • Project management., • Problem-solving skills and ability to adapt quickly to changes

Senior Development Chemist Overview: Join Reaforma as our Senior Development Chemist where you'll lead our efforts in revolutionising the thermal conversion of minerals to produce low-carbon cement. Our innovative process focuses on decarbonising the cement industry by leveraging calcined clay production, aiming to reduce global carbon emissions significantly. We seek a candidate with a robust background in Inorganic Chemistry. As the Senior Chemist, you will be instrumental in driving the development of methods to enhance the CO2 uptake of our process as a method of CCS, ensuring our solutions are both groundbreaking and practical. About Reaforma: Reaforma is dedicated to decarbonising the highly emissive cement industry. Our patent-pending process focuses on producing calcined clay and storing carbon, making cement production more sustainable. By eliminating waste, replacing fossil fuels, and using clay instead of limestone, we aim to cut CO2 emissions significantly. The potential impact of our technology is vast, with the global cement industry contributing 8% of greenhouse gas emissions. Reaforma's solutions are poised to transform the future of construction, making it more environmentally friendly and sustainable. About you: We are looking for a dynamic and versatile scientist to join Reaforma, someone who thrives in a hands-on role and excels at multitasking. This individual will connect the deep physical science of our technology and the practical industrial science necessary to scale it up. The ideal candidate will excel at tackling complex chemistry challenges using an experimental and computational approach. Designing, iterating, and testing solutions will be key to this role. If you're ready to embrace challenges and contribute to transforming the future of cement, construction, and the climate, we want to hear from you. Role Overview: The Senior Cement Chemist plays a key role in cement formulation, process optimisation, and sustainable material innovation. This role integrates chemical modelling, experimental testing, and industrial-scale implementation to enhance cement performance, durability, and environmental sustainability. The position focuses on alternative raw materials, carbon reduction strategies, and process efficiency improvements within calcined clay production. The role also requires a hands-on and off approach, carrying out both lab work and developing comprehensive proposals. The role is a senior role that will be supported by a junior. You will also have full access to an experimental and characterisation lab. Key Responsibilities: • Chemistry & Material Optimisation: Develop and refine calcined clay formulations, supplementary cementitious materials (SCMs) blends, and alternative binders to improve cement performance and sustainability., • Development of mineral chemistry to support CO2 uptake for SCM enhancement and CCS, • Process Modelling & Simulation: Utilise thermochemical and kinetic models to optimise raw material reactions, hydration processes, and phase transformations., • Experimental Testing & Analysis: Conduct XRD, XRF, TGA, SEM, and rheological studies to characterise cement properties and optimise mix designs., • Durability & Performance Enhancement: Assess hydration kinetics, setting time, and mechanical properties to develop high-performance, low-carbon cement solutions., • Techno-Economic & Sustainability Assessment: Evaluate the economic feasibility and environmental impact of alternative cement formulations and carbon capture strategies., • Industrial Collaboration & Scale-up: Work closely with production teams, R&D, and regulatory bodies to implement new materials and cement processing innovations at an industrial scale. Skills & Expertise: • Expertise in cement chemistry, hydration mechanisms, and materials science., • Proficiency in process modelling tools and experimental techniques (XRD, TGA, SEM, BET, rheometry)., • Experience in low-carbon cement technologies, alternative fuels, and carbon capture utilisation and storage (CCUS)., • Knowledge of thermochemical reactions, clinker mineralogy, and SCM interactions or the ability to learn rapidly in practice., • Ability to bridge laboratory research with industrial-scale implementation., • Familiarity with ISO, ASTM, and EN standards for cement and concrete materials or willingness to upskill in this area. Qualifications/Level: • PhD or a similar level of understanding within Chemistry. What We Offer: • A leadership role within an innovative and environmentally conscious company., • The opportunity to contribute to groundbreaking research with a global environmental impact., • Competitive salary and stock options., • A supportive and growth-oriented work environment. Reaforma is an Equal Opportunity Employer. We value diversity and are committed to creating an inclusive environment for all employees. We look forward to hearing from you and joining our mission to make a great impact by addressing the climate crisis challenges.

Engage directly with financial institutions and real-estate operators to align methods with regulatory requirements and real-world workflows. Advanced degree (PhD or Master’s + experience) in building/energy systems, environmental engineering, economics, data science, or a related field, with rele

Join an innovative AI cybersecurity startup based in London that’s tackling cutting-edge challenges in large language models (LLMs) and machine learning security. MSc or PhD in Computer Science, Machine Learning, or a related discipline. Proficiency in Python and deep learning frameworks (e.

MSc or PhD in Chemistry, Chemical Engineering, Metallurgy or related discipline. Strong hands-on wet-chemistry or hydrometallurgical experience. Solve complex chemistry challenges with real sustainability impact.

Contribute to high-impact research with opportunities to publish at leading AI or communication venues (NeurIPS, IEEE, etc. Familiarity with advanced AI methods (e. The Research Lab advances the state of the art in AI and Communications technology, delivering critical algorithms to enable innovative

Experis is seeking an experienced MLOps Lead to join a high-profile consulting engagement with a major client in London. This is a fantastic opportunity to lead the design, implementation, and optimization of machine learning operations in a dynamic, multi-cloud environment. Key Responsibilities: • Lead the end-to-end deployment and operationalization of machine learning models in production environments., • Design and implement scalable MLOps pipelines, ensuring robust CI/CD practices for ML workflows., • Collaborate closely with Data Scientists and Engineering teams to streamline model lifecycle management., • Drive best practices for monitoring, versioning, and governance of ML models., • Advise clients on MLOps strategy and architecture, leveraging your consulting expertise., • Data Science Background: Strong foundation in data science principles, statistical modeling, and machine learning algorithms., • Consulting Experience: Proven track record of delivering solutions in a client-facing consulting environment., • MLOps Expertise: Hands-on experience with tools such as MLflow, Kubeflow, TensorFlow Serving, or similar., • Cloud Platforms: Proficiency in multi-cloud environments (AWS, Azure, GCP)., • DevOps & Automation: Strong knowledge of CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure as code (Terraform)., • Programming: Advanced skills in Python and familiarity with other languages (e.g., R, Java)., • Experience with large-scale data systems and distributed computing., • Familiarity with compliance frameworks and data governance in regulated industries., • Excellent communication and stakeholder man

Position: Associate Lecturer/Lecturer in Computing Location: London Salary: £38,000 Per Annum Type: Full-Time Contract: Permanent Requirement: Full right to work in the UK About NCG Higher Education Centre The NCG Higher Education Centre is part of NCG, one of the UK’s largest and most inclusive education groups. Based in London, the Centre delivers a range of higher education programmes designed to equip students with the necessary skills, knowledge and confidence to succeed in their chosen careers. Our mission is to make higher education accessible, flexible and relevant, while fostering academic excellence and professional growth within a supportive, diverse learning community. Purpose of the role As a lecturer you will contribute to the delivery of high-quality teaching, learning, and assessment across a range of programmes within the Higher Education Centre. You will inspire and support students to reach their potential, ensuring they are equipped with both the academic foundation and practical skills needed for professional success. You will also play an active role in course development and quality enhancement, helping to create an engaging and inclusive learning experience. Main duties and responsibilities (This list is not exhaustive and may adapt over time depending on the needs of the organisation) • Deliver high quality teaching and learning across a range of programmes within a higher education environment., • Tutor students, providing tailored support to help them achieve their academic goals and progress positively., • Contribute actively to the development and continuous improvement of courses, liaising effectively with staff and students., • Contribute to the production of module/unit specific schemes of work., • Mark assessments appropriately in accordance with the assignment brief and marking criteria., • Implement measures to understand students' learning needs, • Support students with timely formative feedback as required by each programme specification., • Mark and provide summative feedback within the prescribed timeframe set by the assessment team., • Provide timely, constructive formative feedback in accordance with programme specifications to support student development., • Ensure compliance with programme expectations and guidelines, • Produce appropriate module/unit reports., • Maintain effective communication with students and colleagues to support a collaborative and professional learning environment., • Engage in continuing professional development (CPD) to maintain subject knowledge, teaching expertise, and awareness of sector developments., • Create high-quality digital and/or written content to support teaching delivery, including lecture materials, online resources, and learning activities., • Contribute to the development of innovative and engaging learning content aligned with current curriculum requirements., • Take on leadership responsibilities, such as serving as Module Leader where appropriate, overseeing the effective delivery of the module, coordinating teaching teams, managing resources, and ensuring academic standards and quality assurance processes are consistently met. Skills and Qualifications Essential Requirements: • Master's degree and/or a PhD in the relevant area., • Previous lecturing experience for similar courses at HEI level., • Work in line with Blackboard / VLEs, MS Teams / Zoom. Desirable Requirements: • Experience working in the industry of your subject., • Teaching qualifications: PGCHE, MA in HE Practice, or FHEA, etc. Why Join Us Joining NCG Higher Education Centre means becoming part of a forward-thinking institution where innovation, inclusion, and impact drive everything we do. You’ll work alongside a passionate team of academics and professionals who are committed to empowering learners and transforming lives through education. Benefits • Generous Annual Leave (5.6 weeks) + Bank holidays, • Workplace Pension Scheme, • Company Sick Policy, • Statutory Maternity/Paternity Pays, • Training and Self-development Opportunities, • Gym Membership Discounts, • Retail Discounts, Cinema Discounts & Grocery Discounts, • Investing and Savings Opportunities, • Financial Wellbeing Education & Personal Debt Advises, • My Mind Pal (mental fitness)

Job Family: Strategy & Transformation Consulting Travel Required: Up to 25% Clearance Required: None Is life sciences in your DNA? Breakthroughs in pharma are helping people live healthier lives, while medical devices enable patients to proactively maintain health – this is undoubtedly a transformative time for health care companies. Guidehouse’s Life Sciences practice is an engine of innovation, helping pharmaceutical, biotech, and diagnostics companies develop custom solutions that tackle today’s challenges while anticipating tomorrow’s. You will have an immediate impact by partnering with our clients, across all levels, to deliver product planning, pricing, reimbursement, product commercialization, and regulatory and compliance solutions. Do you think you are up for the challenge? We develop our people through challenging work, valuable learning and educational programs. We cultivate a culture of mentorship and feedback for professional and personal growth. We help our clients take control of their future. This mission extends to our employee's careers, health and well-being and by the many ways we give back to our communities. If you’re passionately motivated to make a difference and deliver exceptional work, we invite you to learn more about your career opportunities at What You Will Do: In this role you will be accountable for growing and managing client relationships while managing client expectations. You will become the client’s trusted advisor that contributes to the “key client” business development strategy. You will be accountable to develop business with new buyers within key clients, drawing upon industry and client connections as well as trends and Guidehouse solutions. As you sell and deliver great work you will also identify and evaluate issues of risk for both Guidehouse and for Guidehouse’s relationship with the client. You will oversee multiple projects simultaneously of all varying sizes and durations to ensure quality control and key client’s perceived value while supervising, mentoring and developing Guidehouse personnel. You will also be involved in non- client related firm- building activities as a leader in the firm. What You Will Need: * BA/BS degree in Science, Biomedical Engineering, Healthcare, Business or related course of study. * 10 (TEN) + years of Life Sciences (Pharmaceutical, Biotech, Specialty Pharma and/or Medical Technology) consulting experience or blend of consulting & industry experience. * 5 (FIVE) + years commercialization and launch experience. * Ability to work independently but with oversight from management. Experience in managing components of projects, ownership of workstreams and/or analytics and supervising, coaching or mentoring others in daily tasks is required. * Must possess strong analytical skills (Excel, Access, etc.) and leverage analytic techniques to use data to guide client and team decision-making. * Must have advanced data collection, research, information finding experience and explore solutions that challenge critical thinking. * Proven track record generating revenues with existing clients demonstrating a passion for developing high value client relationships and executing on a account penetration strategy that results in account growth directly or indirectly * Experience managing projects to timeline, scope and budget on multiple teams simultaneously. * Right to Work in the UK e.g. UK Passport, Ireland Passport (Common Travel Area Agreement), Indefinite Leave to Remain, EU Settled Status. * Must be willing and able to travel to client sites in the UK and internationally. What Would Be Nice To Have: * MBA / PhD / PharmD / MD or other advanced degree. * Demonstrated commitment and passion for the Healthcare and Life Science industries. * Excellent written and oral communication skills and ability to produce client ready deliverables including PowerPoint presentations. * Ability to grasp and communicate clinical and business implications of technically complex products and services. * Excellent attention to detail and ability to review work product of self and others and produce work product and deliverables that require minimal re-work or editing. * Collaborative and a team player. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. About Guidehouse Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

We are seeking talented individuals passionate about software development, large-scale data analytics, and driving AI-led innovation. Ideal candidates will have: • 4+ years of experience in a technology consulting environment, • Strong ability to apply software development practices and standards to build robust, maintainable solutions, • Hands-on involvement throughout the software development life cycle, • Experience guiding non-technical teams and consultants on best practices for software development, • Skills in optimizing and enhancing computational efficiency in algorithms and software design, • Motivation to thrive in a fast-paced, client-facing environment, contributing to new features and future product releases, • A collaborative mindset, eager to share ideas and solutions within teams, • Natural problem-solving ability and intellectual curiosity across diverse industries and topics, • Design and build data & AI platforms for clients, enabling data and (Gen)AI capabilities across a wide range of use cases, • Contribute to large-scale AI transformation journeys, • Work across engineering disciplines such as:, • Cloud Engineering, • Data Engineering (framework design and build, not pipelines), • DevOps, • MLOps / LLMOps

Company: Elizabeth School of London Position: Academic Manager (City) Location: ON-SITE, London UK Employment Type: Full-Time, Monday to Friday (9am - 5pm) Salary: circa. £50,000 Per Annum Job Overview As a City Academic Manager, you will be responsible for overseeing all academic aspects of the campuses, ensuring smooth operations and fostering a conducive learning environment. This role may involve direct line management of the Associate Academic Manager/s (AAM/s) and the Academic Coordinator/s (AC/s) in collaboration with various teams to uphold academic standards and improve student success. Reporting to the Head of Academic Services (HoAS) you will play a crucial role in formulating reports, monitoring performance metrics and implementing policies to achieve institutional objectives. Key Responsibilities Academic Management: • To oversee all academic activities on campus, including curriculum delivery, student assessment and adherence to academic standards., • To work in collaboration with Partnership Academic Managers (PAMs) and the Dean to ensure that all university partners’ standards and expectations are being met, together with achieving ESL standards under the directions of the HoAS, • To monitor the performance of lecturers, ensuring quality teaching and compliance with established academic guidelines, • To support and guide AAMs and ACs and/or line manage lecturers and to recruit suitable candidates to perform the jobs, • To ensure the staff and student inductions are appropriately planned and delivered within the sites according to company policies and procedures whilst keeping relevant records, • To coordinate with relevant departments to collect course progression reports and populate weekly reports on student performance, • To prepare monthly reports for the HoAS where performance of the staff and students based on each cohort are tracked and appropriate actions taken. Team Management: • To work closely with AAMs & ACs providing guidance, support, and performance feedback, • To regularly monitor staff performance and report/feedback to relevant departments, • To attend all relevant meetings and training sessions set to improve performance, communication as well as personal development, • To resolve staff queries and concerns related to academic operations, fostering a collaborative work environment. Performance Monitoring and Reporting: • Regularly monitor site’s (sites’) performance indicators such as retention rates, success, progression rates and academic standards, • Formulate monthly reports on sites and programme performance for presentation to the HoAS, highlighting achievements and areas for improvement, together with appropriate actions taken. Policy Implementation: • Implement policies and procedures mandated by the Senior Leadership Team to ensure consistency and compliance across academic operations., • Ensure timely administration of assessments, marking and grade reporting in accordance with academic calendars and partner university requirements., • Conduct internal examination boards as necessary to assess student performance and maintain academic integrity. Education and Qualifications • Minimum of a master’s degree in education, business, or related fields, • A PhD in relevant fields is desirable as well as a PGCE, • Proven experience in educational management in similar roles, especially in the WP settings, • Strong leadership and interpersonal skills, with the ability to inspire and motivate others, • Excellent organisational and problem-solving abilities, • Sound knowledge of safeguarding policies and procedures, • Effective communication skills, both verbal and written, • Ability to remain calm and composed during emergencies and busy times, • Familiarity with relevant regulations and compliance standards in the higher education sector, • Commitment to promoting diversity, equity, and inclusion within the campus community Benefits • Annual leave (7.2 weeks), • Workplace pension scheme., • Company Sick Policy., • Statutory maternity/paternity pays., • Career development opportunities, • Training and self-development opportunities., • Gym membership discounts, • Retail discount schemes, • Cinema discounts, • Grocery discounts, • Cycle to work, • Investing and savings opportunities, • Financial wellbeing – personal debt advise., • Financial wellbeing education, • My Mind Pal (mental fitness)

Lead Engineer – Agentic AI Systems 🚀 Start-up-style engineering team inside a global consulting powerhouse 🚀 Peer group of world-class AI engineers and researchers 🚀 Own and build production-grade multi-agent systems end-to-end 🚀 High-velocity environment with huge technical autonomy 💸 £130k – £160k + bonus 📍 UK-wide flexible / some travel required to client site We’re hiring a deeply technical, hands-on Agentic AI Technical Lead to design, build, and ship advanced multi-agent systems used in real-world enterprise and government environments. This role is ideal for someone who loves building, not just advising: think Forward Deployed Engineer, Principal/Staff AI Engineer, or Member of Technical Staff who’s ready to lead technically, own architecture, and guide an engineering team—without stepping into corporate exec-land. You’ll set technical direction, define engineering standards, and stay extremely close to the codebase while working with some of the strongest Agentic AI talent in the industry. What You’ll Build & Lead • Architect multi-agent systems (ReAct, CoT loops, LangGraph, MCP) from scratch, • Productionise agentic systems with evaluation, observability, and rigorous testing, • Scale deployments across SQL workflows, pandas, RAG pipelines, and distributed compute, • Define modern evaluation standards (Pass@N, multi-run testing, tool reliability gates), • Lead client technical sessions and shape solution design (no exec stakeholder wrangling), • Provide hands-on technical leadership to high-performing engineers, • Stay ahead of frontier LLMs, orchestration frameworks, and agent-design innovations What You Bring Required • Strong academic background in AI/Computer Science/Machine Learning (MSc/PhD ideal), • Proven experience of building production agentic AI, ML, or AI engineering systems from scratch, • A history of technically leading teams while staying hands-on, • Deep software engineering foundations: deployment, evaluation, monitoring, optimisation, • Familiarity with agentic frameworks (ReAct, LangGraph, tool orchestration), • Strong communication skills for technical workshops and solution shaping Preferred • Experience with PyTorch/TensorFlow, vector DBs, RAG, distributed inference, • Background in start-ups, high-performance engineering groups, or technical consulting, • Experience navigating complex industries or regulated environments, • Bias toward action, experimentation, and independent delivery Why Join This is a rare opportunity to lead without leaving the code, shaping one of the most advanced Agentic AI engineering capabilities in the consulting world. You’ll work in an environment that prioritises experimentation, fast iteration, and technical impact—building real systems, not slideware.

Graduate Land Analyst Location: London (Hybrid) Salary: £35,000 + performance-based bonus £5000 - £10,000 Reports to: Head of Commercial Start date: ASAP (2024/2025 Graduate) About the Company Our client is a fast-growing renewable energy developer specialising in on-site solar and battery storage for commercial and industrial power users across the UK. They design, fund and operate behind-the-metre clean energy assets that help organisations reduce emissions, lower energy costs and improve energy security, without the need for upfront capital expenditure. As the business scales its UK pipeline, they are looking for a bright and motivated Graduate Land Analyst to join the commercial and development team. Business Strategy The Opportunity This is an excellent opportunity for a graduate who wants to build a career at the intersection of land, planning and renewable energy. You will play a key role in identifying and assessing potential sites, supporting landowner engagement, and helping to build the commercial and planning case for new projects. Working in a small, entrepreneurial team, you will gain exposure to the full development lifecycle and have the chance to take on responsibility early. Key Responsibilities • Identifying LPU’s to target and qualifying leads, • Analysing land using the client’s in-house methodology, with a focus on planning policy, grid and land-use constraints, • Supporting landowner engagement, including liaison with external agents, surveyors and legal representatives, • Maintaining the CRM with accurate and relevant data on sites, stakeholders and deal progress, • Understanding and operating the financial model used to assess land opportunities and project returns, • Collaborating and aligning with the Commercial Team on site prioritisation and origination strategy, • Assisting in the conduct of market analysis to support senior management decision-making, • Supporting the business through ad hoc tasks typical of a high-growth start-up environment Skills and Experience Required • Degree educated (RICS-accredited degree in Renewable Energy, Real Estate, Planning or a related discipline preferred; Masters/PhD advantageous), • Knowledge of the UK planning system and an interest in land and property development, • Ability to think strategically while being comfortable working with detail and structured analysis, • Demonstrable ambition to join a fast-growing company and work in a small, close-knit team, • Excellent negotiation, communication and relationship-building skills, • A genuine interest in renewable energy, sustainability and the energy transition What’s on Offer • The opportunity to join a high-growth renewable energy developer at an exciting stage, • Early responsibility and broad exposure across land, planning, commercial and finance, • Close collaboration with senior stakeholders in a lean, entrepreneurial environment, • Hybrid working from a London base, • Clear scope for progression as the portfolio and team continue to grow How to Apply This position is aimed at 2024/2025 graduates. You must be able to start in January 2026. Please submit your most up-to-date CV and a Recruiter will be in touch with you to discuss the position in more detail.

Job Title Senior Competitive Intelligence Consultant (Life Science) Location Central London, United Kingdom (UK) Contract Type Permanent (Hybrid) Company Overview Apsida Life Science has partnered with strategic firm that is dominating healthcare consulting. They are seeking a professional to join their team as a Strategic Consultant. Our client is committed to surpassing insights and enabling their clients to release the power of their staff through bringing clarity of thought with 'fit for purpose' strategies that meet their needs. Our client’s mission is clear: • Project management experience, • Combine rigorous research excellence with unparalleled deep subject matter expertise. The Opportunity: • Lead the future of healthcare. Are you a seasoned life sciences strategic consultant ready to make a significant impact?, • This is a key leadership role, focused on driving the division's growth by winning new business and successfully delivering our most complex, high value projects., • Empower clients to launch groundbreaking therapies worldwide., • Your mandate is to lead teams, secure new business development, and partner on high-level strategic decisions. Requirements: • 4+ years in life sciences strategic consulting with demonstrable capability and achievements., • An advanced degree is required (Masters or PhD) in the following therapeutic areas, at least one of the following areas is mandatory: Oncology, Immunology, Cardiovascular, Renal and Metabolic diseases (CVRM), or rare diseases., • Life Sciences Consulting Experience., • Successfully managing profitable projects that deliver client value., • Engaging with clients (existing and prospective) to win new business. Benefits: • Competitive base salary and benefits., • Discretionary annual bonus scheme., • Share option scheme., • 401(k) retirement plan., • Medical, dental, and vision plan., • 20 days holiday (rising to 25 days) plus 12 US federal holidays and four additional days between Christmas and New Year. Are you ready to take the next step in a dynamic strategic intelligence environment, connect with Linda Goba at Apsida Life Science to discuss this exciting opportunity. +44 (0) 744 134 2145 Apsida Life Science is a specialist recruitment business based in London (UK), Redhill (UK), Boston (USA) & Pretoria (South Africa) that is dedicated to delivering the best talent to the Life Science industry. We believe there is a gap in the market for a cost effective, high quality and trusted recruitment service that puts the candidate journey at the heart of the recruitment process. Website:

NGS Sales Specialist – UK & Ireland Home-based | Field-based role | Life Sciences / Genomics We are recruiting an NGS Sales Specialist to support the growth of an innovative Next Generation Sequencing (NGS) and Spatial NGS portfolio across the UK and Ireland. This role is ideal for someone who combines a strong scientific foundation in genomics with commercial curiosity. You’ll work closely with customers in academia, clinical research, government, and biotech, helping them adopt cutting-edge NGS solutions while partnering with internal sales and applications teams to drive growth. 🔹 Scientists and postdocs looking to transition into a commercial career are strongly encouraged to apply. Prior industry sales experience is not essential. What You’ll Do • Drive sales growth of NGS and Spatial NGS instruments and reagents, • Identify and develop new business opportunities while expanding existing accounts, • Build trusted relationships with core facilities, key opinion leaders (KOLs), and decision-makers, • Act as a technical and market expert, clearly communicating product value and differentiation, • Collaborate with field sales, inside sales, applications, marketing, and support teams, • Accurately track activity and pipeline using CRM tools What We’re Looking For • MSc or PhD in Molecular Biology, Cell Biology, Genomics, or a related life science, • Strong understanding of NGS workflows and applications, • Commercial mindset with excellent communication and relationship-building skills, • Self-motivated, organised, and comfortable working in a field-based environment, • Willingness to travel across the UK & Ireland We welcome applications from: • NGS / genomics sales professionals, • Scientists or postdoctoral researchers with hands-on NGS experience seeking a move into sales Why Apply? • Join a fast-growing, innovative genomics environment, • Work with a highly collaborative and supportive commercial team, • Combine scientific expertise with customer-facing impact, • Clear development pathway within a commercial career 📍 Location: Home-based (UK) with regional travel

Job Title: Senior Account Manager Department: Medical Communications, Client Engagement Reports To: Managing Partner Location: Sea Containers, London (Hybrid working) About VML Health: Why We're Awesome (and Why You Should Care) We're VML Health, part of the VML network – a global powerhouse in brand and customer experience. Basically, we connect creativity, tech, and culture to build brands that really resonate. At VML Health, we're all about making a real difference in healthcare. We craft innovative solutions that drive meaningful change and improve patient outcomes. Our European hub is a buzzing center for collaboration, bringing together diverse talent to serve clients across the continent. We're obsessed with leveraging the power of creativity and technology to solve complex challenges. We thrive in a fast-paced, collaborative environment where new ideas are always welcome. Join us, push boundaries, and help shape the future of healthcare communications! The Role: The Senior Account Manager is a pivotal client-facing role responsible for leading the operational management of key client accounts and overseeing the successful development and delivery of complex, high-impact medical education and communication programs. This role requires a deep understanding of the healthcare landscape, exceptional client management skills, proactivity and the ability to drive efficient execution of solutions that facilitate scientific exchange and improve healthcare professional understanding. The Senior Account Manager acts as a trusted partner to clients and a key operational leader within the internal Client Services team, ensuring seamless collaboration and superior client satisfaction, supported by a Client Services Director, Account Director and Account Executive. Role & Responsibilities: The Senior Account Manager proactively manages key client accounts, ensuring the efficient and effective execution of medical education and communication programs. They serve as the primary operational point of contact for clients, guiding them through project lifecycles, in terms of process, timelines and production, ensuring the delivery of scientifically accurate and high-quality solutions. Essential Duties: • Build and nurture strong, collaborative relationships with client contacts, acting as a trusted partner and where applicable, identifying opportunities for account growth and expansion., • Oversee the end-to-end development and delivery of multi-faceted, and/or highly complex medical education and communication programs, ensuring adherence to timelines, budgets, and quality standards., • Collaborate with clients and internal teams to develop comprehensive project briefs that accurately capture scientific and educational objectives, guiding the project from initiation to completion., • Serve as the primary liaison between clients and internal cross-functional teams (scientific, creative, project management, digital), fostering efficient collaboration and ensuring all stakeholders are aligned and informed on project status and requirements., • Lead and facilitate client meetings, presentations, and workshops, effectively communicating project updates, managing expectations, and securing necessary approvals for project progression., • Critically review all deliverables, including scientific content, educational materials, and digital platforms, ensuring they meet scientific accuracy, compliance guidelines, and the highest standards of quality before client delivery., • Anticipate potential operational challenges, proactively identify solutions, and resolve issues efficiently to ensure smooth project progression and client satisfaction., • Proactively manage project scope, budgets, and profitability for assigned accounts. Monitor project financials, prepare regular reports, and ensure all billing and invoicing are accurate and timely., • Monitor program outcomes, gather relevant data, and prepare reports on project performance, identifying areas for operational improvement and efficiency., • Provide guidance and support to junior account team members, assisting with their day-to-day tasks and contributing to their operational understanding and professional development. Education: • Bachelor's degree in Life Sciences, Pharmacy, Medicine, or a related scientific field. A Master's degree or advanced scientific degree (e.g., PhD, PharmD, MD) is highly preferred., • Minimum of 3+ years of progressive experience in account management within a medical communications or medical education agency setting. Skills: • Level of English: Fluent., • Proficiency in MS Office Tools: Especially Excel and PowerPoint. Knowledge of project management or CRM tools will be considered a plus., • Communication: Both written and spoken, with an emphasis on clarity and precision in scientific and project contexts., • Comprehensive and Current Knowledge: Of the medical communications agency's offerings, healthcare industry trends, and relevant compliance regulations (e.g., GPP, PhRMA, ABPI)., • Ability to Understand Client Needs: And effectively manage project scope, timelines, and budgets.

At Solve Intelligence, we’re building something people actually want - and we have the revenue and traction to prove it. 🏗️ The Role: Full-Stack Account Executive Less than 24 months since launch, we are adding 7 figures of ARR per month. We’ve built a world-class team of AI PhDs, engineers, and patent attorneys. Now, we need a high-energy, ambitious GTM powerhouse to help us scale to $1B+ ARR. What you’ll own: • Build the GTM Motion: You aren't just following a playbook; you’re writing it. You'll architect our sales and growth strategy from the ground up., • Lead Generation & Networking: Smash outbound targets, leverage your network, and represent Solve at global IP conferences to book demos and win over key decision-makers., • Product Demos: Show the world the future of IP. You’ll teach leaders how to leverage AI to transform their workflows., • Closing Deals: Full-cycle ownership from lead to close, working with our Technical IP team to ensure seamless onboarding., • Product Influence: Act as the bridge between the market and our AI researchers. Your feedback will directly shape the product roadmap. 💡 About Solve Intelligence We are the fastest-growing startup transforming Intellectual Property. Our AI-powered platform handles invention harvesting, patent generation, and portfolio management. • Growth: 20-30% MoM revenue growth., • Market: 300+ IP teams globally, including Tier-1 firms like DLA Piper and major tech enterprises., • Impact: Users report 50-90% efficiency gains., • Backing: Recently featured in ___ following our $40M Series B announcement, bringing our total funding to $55M from elite investors including Insight Partners, Y Combinator, and HOF Capital. 👋 Who You’ll Work With You’ll be joining a founding team with deep pedigree: • ___ (CRO): PhD in AI (Gatsby Unit, UCL), ex-Huawei R&D, former lead at Magic Carpet AI (acquired)., • ___ (CEO): PhD in AI (UCL), published researcher, ex-Dyson and Alan Turing Institute., • ___ (CTO): MEng Computer Science, ex-Qualcomm and Coremont (Brevan Howard). 🚀 Who You Are We are a high-performance culture. To thrive here: • You move fast: You prioritize speed and aim to close deals in days, not months., • You are a "grinder": You have a relentless work ethic and take extreme ownership of outcomes., • You are an optimist: You thrive in a positive, high-stakes environment and are eager to learn., • You believe in AI: You understand we are at the start of an exponential curve and want to drive mass adoption. 🛠️ What You Bring Must-Haves: • Proven track record as a top-performing AE in a high-growth SaaS environment., • Exceptionally clear written and verbal communication., • A metrics-driven mindset and a willingness to "grind" alongside the founders. Preferred & Nice-to-Haves: • STEM Degree: (Maths, CS, Physics, Engineering, etc.)., • Legal/IP Background: Experience in patent prosecution or a qualified USPTO/EPO patent attorney/agent., • Technical Sales: Experience selling complex products to mid-market or enterprise firms., • Entrepreneurial Spark: Side hustles, early-stage experience, or a history of building things. 🎁 What’s In It For You? • Compensation: Competitive base + unlimited commission upside., • Equity: Meaningful ownership in a high-growth startup., • Support: Full visa sponsorship and private medical insurance., • Perks: Free meals and the chance to work with the smartest minds in AI. Ready to build the future of IP? Apply now. 🚀

Job Title: Quantitative Product Specialist - Private Market Data Location: London Type: Full-time About Scientific Infra & Private Assets Scientific Infra & Private Assets is a global leader in data and analytics for private infrastructure and private equity markets. We transform academic excellence into investment-grade indices, tools, and insights that bring transparency and scientific rigor to historically opaque markets. Our indices – such as infraMetrics® and privateMetrics® – serve investors managing hundreds of billions in AUM and are ESMA-registered. Role Overview We are seeking a Product Specialist with strong quantitative skills and professional writing experience to contribute to thought leadership and applied research in infrastructure and private assets. This role is ideal for candidates with a passion for private markets, financial economics, and data analytics. The successful candidate will develop high-quality publications, lead analytical research, and present findings to global institutional investors and industry forums. Key Responsibilities • Design and implement quantitative research studies on private infrastructure and private equity using SIPA data platforms (infraMetrics®, privateMetrics®), • Develop and refine financial and statistical models to analyse asset-level data, market pricing, and factor exposures, • Produce investor-facing content, including white papers, use cases, and thematic thought pieces that clearly communicate technical findings, • Deliver presentations to clients, prospective investors, and at external conferences or academic events, • Translate quantitative insights into practical takeaways for asset allocators, consultants, and regulators, • Collaborate with researchers, data scientists, and marketing teams to maintain analytical rigor and message clarity Required Qualifications • Advanced degree (Master’s or PhD) in Finance, Financial Economics, Applied Mathematics, or a related quantitative field, • 3–5+ years of experience in financial research, data analytics, or economic strategy roles, • Proficiency in R and/or Python, especially for statistical modelling, empirical finance, and data visualisation, • Proven track record of producing professional research publications or thought leadership articles for sophisticated financial audiences, • Strong presentation skills with experience speaking to clients, C-level audiences, or industry panels, • Familiarity with infrastructure, private equity, or private market data is a strong advantage, • Professional certifications such as CFA or CAIA are preferred What We Offer • Opportunity to work with industry-leading data and insights in private markets., • Collaborative and intellectually stimulating work environment., • A platform to influence how investors engage with infrastructure and private assets analytics., • Competitive salary and benefits package. MORE ABOUT US Scientific Infra & Private Assets stands at the forefront of innovation in private market analytics, offering sophisticated investors unparalleled insights into the valuation and risks associated with private equity and infrastructure investments. Emerging from the research endeavours of the EDHEC Infrastructure & Private Assets Research Institute, the company has transformed academic findings into practical tools that address the critical data deficiencies in private markets. Central to their offerings are infraMetrics® and privateMetrics®, two groundbreaking products that provide comprehensive, model-driven analytics. infraMetrics® delivers asset-level metrics for private infrastructure investments across more than 20 markets, categorized by sector, business risk, and corporate structure. This tool enables investors to access robust market indices and benchmarks, facilitating informed decision-making and precise performance assessments. Similarly, privateMetrics® offers detailed analytics for private equity investments, encompassing over 100 markets. It classifies data by activity, customer model, revenue model, lifecycle, and value chain, providing investors with a nuanced understanding of market dynamics. This depth of analysis empowers investors to identify undervalued assets and optimize their investment strategies. A standout feature of Scientific Infra & Private Assets is their commitment to data integrity and transparency. By leveraging advanced financial modelling, statistics, and machine learning, they produce scientific results that are indispensable for making informed investment decisions. Their indices, such as the infra300® and infra100® series, are registered with the European Securities and Markets Authority (ESMA), underscoring their adherence to stringent regulatory standards. In an industry often characterized by opaque data and limited transparency, Scientific Infra & Private Assets distinguishes itself by providing reliable, up-to-date, and customizable analytics. Their innovative approach not only bridges the gap between academic research and market application but also sets a new standard for data-driven decision-making in private markets. For investors seeking to navigate the complexities of private equity and infrastructure investments, the tools and insights offered by Scientific Infra & Private Assets are invaluable resources. The salary will be determined according to the candidate's qualifications and experience. To apply, please send your CV and a cover letter (pdf format) & mention where you found the ad. Please note: Only shortlisted candidates will be contacted. If you do not hear from us within 21 days, please assume your application has not been successful on this occasion.

ASIC Design Engineer Location: London or UK Remote I am seeking an ASIC Design Engineer to join a rapidly growing scale-up at the forefront of hardware security for AIoT. This is a business-critical role where you will play a key part in designing and implementing advanced systems and post-quantum cryptography solutions. This is an outstanding opportunity offering exceptional flexibility. You can choose to work from their London office and enjoy the energy of city life, or work fully remotely from anywhere in the UK, with occasional on-site visits. Key Responsibilities • Design, develop, and verify digital hardware modules for high-security applications., • Create robust designs suitable for both ASIC and FPGA implementations., • Contribute to the full digital design lifecycle, from concept through to deployment., • Develop hardware architectures supporting cryptographic functionality. Qualifications • Bachelor’s or Master’s degree + 5 years of experience, or a PhD in a security- or cryptography-related field + 2 years of experience., • Strong knowledge of cryptographic algorithms and hardware architectures., • Proficiency in Verilog and SystemVerilog., • Experience developing testbenches for verification., • Familiarity with RISC-V processor cores., • Post-quantum cryptography experience is highly desirable. Additional Information • Sponsorship can be provided for candidates already based in the United Kingdom., • Salary up to £85,000, depending on experience and depth of cryptography expertise.

A leading global investment firm specialising in quantitative and systematic strategies is seeking a talented Data Scientist (with good data engineering skills) to join a high-impact team at the intersection of research, trading, and engineering. The firm operates across all major liquid asset classes and is driven by a scientific, data-first approach to investing. With a strong culture of innovation and collaboration, the team continuously explores new ways to harness data for alpha generation. About the Role This is a unique opportunity to work in a cross-functional environment where data is central to investment decision-making. You'll be part of a specialist group that partners closely with trading and research teams to ensure data is efficiently sourced, transformed, and deployed across the investment process. Key Responsibilities • Collaborate with trading and research teams to design and implement robust data pipelines tailored to investment strategies., • Work with data engineers to onboard and integrate new datasets, ensuring they are production-ready and aligned with business needs., • Develop and prototype tools to extract, clean, and aggregate data from diverse sources and formats., • Lead the end-to-end onboarding of new datasets, from discovery through to deployment., • Continuously improve data workflows by identifying bottlenecks and implementing scalable solutions., • Experiment with novel data acquisition and transformation techniques to expand the firm's data capabilities. Ideal Candidate Profile • 3+ years of experience in a data science or data engineering role, ideally within a quantitative or financial setting., • Advanced degree (Master's or PhD) in a quantitative field such as Mathematics, Physics, Computer Science, or Engineering., • Strong Python programming skills, particularly with data-centric libraries like Pandas and NumPy., • Demonstrated interest in financial markets and the application of data to investment research., • Experience working with both traditional and alternative financial datasets., • Excellent communication skills and the ability to collaborate effectively with technical and non-technical stakeholders., • Comfortable working in a fast-paced, high-performance environment. If you feel the above fits with your expeirence and are ready to join a fast paced and high performing fund, apply today!

Job Title: Junior AI Engineer Location: London (hybrid – meet 1–2 times per month) Type: Permanent Salary: £40,000 + stock options Interview Process: 2–3 stages We’re hiring for a founding AI Engineer to join a startup building AI agent infrastructure for regulated industries. They are a Seed stage company backed by a Leading London VC and you will work closely with the CTO who is a previously exited AI Founder. The product already has an MVP and a fine-tuned LLM. The next step is scaling the organisation as they look to move towards their Series A. Please only apply if you have a Masters + in Computer Science What you’ll do • Build and fine-tune AI models (LLMs and transformer-based architectures)., • Work directly with customers to integrate and test new features., • Develop and improve core components of the AI agent framework., • Gather and act on client feedback to enhance product performance., • Take part in design and architecture discussions. About you • Master’s or PhD in AI, Machine Learning, Data Science, or Computer Science (Russell Group or similar)., • Strong Python skills (Pandas, NumPy)., • Experience or exposure to NLP, transformers, and LLMs., • Familiarity with ML tools like Weights & Biases or MLflow is a plus., • Curious, proactive, and confident working independently., • Ideally based near London for occasional client visits. 📩 Interested? Message me here or email

Senior 3D Computer Vision Engineer Location: Hybrid / Flexible (UK) Employment type: Full-time — Senior, hands-on engineering role We’re working with a fast-moving technology company building large-scale 3D vision systems for industrial applications. The team is small and highly technical; this role combines end-to-end engineering, product delivery and mentoring of junior engineers. Due to confidentiality, the client name isn’t being disclosed during early conversations. What the role involves • Design, build and scale production 3D perception systems using spatial data., • Own core components across the 3D pipeline and take projects from prototype through to production., • Establish and maintain robust data and labelling pipelines and QA practices., • Identify and remove performance bottlenecks across inference, data handling and infrastructure., • Translate recent research advances into reliable, maintainable software and mentor more junior engineers. About you (essential) • 5+ years’ experience in 3D computer vision, computational geometry or a closely related field., • Proven track record shipping ML/AI systems into production (end-to-end pipelines)., • Strong software engineering skills — production-grade Python and engineering best practices., • Practical experience with point cloud / spatial data processing or equivalent 3D data modalities., • MSc or PhD in Computer Science, Machine Learning, Robotics or similar. Nice to have (not required) • Experience at an early stage or scale-up environment., • Familiarity with commonly used 3D/vision toolkits and cloud deployment patterns., • Exposure to industry workflows that use 3D representations (any sector). If you're interested and have the required skillset, then apply now! Otherwise, if you are interested in any other AI/ML & Computer Vision roles, then reach out to Oscar Harper at IC Resources.

I am partnered with a leading developer and provider of full-stack photonic quantum computing systems. This company focuses on innovative approaches to quantum computing, high performance, and data centre-standard systems for machine learning and generative AI. You will have the opportunity to work in multidisciplinary teams of quantum scientists’, engineers, and mathematicians who are developing hardware and software within quantum- classical systems. We're looking for an experience machine learning engineer, who will thrive in collaborative dynamic environments where learning is continuous and every contribution drives progress towards the next generation of computing. Having knowledge or interest within quantum computing would be desirable. Your Responsibilities: • You will research, implement and benchmark new machine learning algorithms to continuously improve your workflows., • You will focus on generative models (flow models, diffusion and GANs), alongside neural network architectures that make use of non-classical feature sets., • You'll be working in collaboration with clients and partners mapping relevant problems within hardware and deliver projects demonstrating how your technology can solve these problems., • Country to scientific leadership by publishing your research and working with legal teams to protect your inventions., • You will contribute to the user facing software stack by adding and improving new algorithm applications and examples. Technical Expertise: • Master's or PhD in a relevant field (physics, computer science...), • Expertise in machine learning, with a strong understanding of flow matching, diffusion and/ or GANs, • Machine learning orientated programmed skills (Pytorch, Python…), • Experience in developing and benchmarking new machine learning models, • Working with multi-GPU models, • Industrial experience in machine learning applications for either chemistry or biology settings, • Experience working in front of and with customers, • Previous experience working in start-up environments Following your application, Amelia Pudney will discuss the opportunity with you in detail. She will happily answer any queries surrounding the opportunity and the potential for career growth. This position is highly popular and has possibility to close prematurely; apply as soon as possible to avoid disappointment. Please select 'apply', alternatively email with any further information.

Lead Machine Learning Engineer Location: London (Hybrid) Salary: Highly Competitive + Benefits We’re partnered with an innovative AI company building world-class technology that powers real-time voice and audio intelligence. Their products use deep learning and signal processing to isolate speech, eliminate background noise, and enhance communication clarity across enterprise, consumer, and high-performance sectors. They’re now looking for a Lead Machine Learning Engineer to take a hands-on leadership role within their R&D team. This position combines technical ownership and strategic direction, guiding the research, development, and deployment of machine learning models for real-time speech enhancement. Responsibilities: • Lead the design, training, and optimisation of ML models for speech separation and noise reduction., • Provide technical leadership and mentorship to a small, high-performing engineering team., • Bridge research and production — ensuring scalable, low-latency model deployment., • Collaborate cross-functionally with software and product teams to integrate ML systems into live products., • Contribute to the company’s long-term AI strategy and technical roadmap. Requirements: • MSc or PhD in Computer Science, Machine Learning, or Signal Processing., • Proven experience in leading or mentoring ML/AI engineering teams., • Deep understanding of digital signal processing and speech/audio modelling., • Proficiency with Python, PyTorch/TensorFlow, and modern ML frameworks., • Track record of delivering production-grade ML systems with measurable performance improvements., • Experience with low-latency inference and model optimisation (ONNX, TensorRT, quantisation) is highly desirable. This is an opportunity to take ownership of the machine learning function within a growing AI company, driving innovation in real-time communication and audio intelligence. If you fit the requirements and are interested in this opportunity, then apply now! Otherwise, if you're interested in any other AI/ML and Computer Vision roles, then reach out to Oscar Harper at IC Resources.

Senior AI Engineers - Generative AI & Information Retrieval 💼 Hybrid London (1–2 days/week onsite) 💰 Up to £130k + Equity + Benefits We’re hiring three Senior AI Engineers to join two rapidly growing teams within a high-growth fintech/data intelligence scaleup. You’ll work on cutting-edge Generative AI, LLMs, NLP, and Information Retrieval, building production systems used by global customers. You’ll join a highly talented AI organisation (reporting into the Senior ML Manager) and work closely with product, backend, and frontend teams to ship impactful, user-facing AI features. 📌 Open Senior Roles (3 Total) 1. Senior GenAI Engineer - Client Features Build the next generation of customer-facing GenAI features. You will: • Build LLM-powered workflows, chat systems, and assistant-style features., • Develop simple, reliable systems that solve real customer problems (no over-engineering)., • Work closely with product and UX to shape user-facing AI experiences., • Strong hands-on experience with GenAI, LLMs, agentic frameworks, or chat/workflow apps., • Excellent Python and software engineering fundamentals., • Solid cloud experience (AWS preferred, GCP/Azure fine)., • Product-minded approach and ability to work cross-functionally. 2. Senior AI Engineer - Information Retrieval (Engineering-Focused) Own engineering for large-scale Information Retrieval/NLP pipelines. You will: • Build and optimise retrieval, ranking, and document processing systems., • Implement transformers, embeddings, search pipelines and evaluation frameworks., • Strong ML engineering background., • Experience in document processing, NLP, embeddings, transformers., • Python expertise, solid engineering foundations., • Experience shipping IR/ML systems in production environments. 3. Senior AI Engineer - Information Retrieval (Research-Focused) Drive applied research within a production-focused Information Retrieval team. You will: • Research and improve retrieval and NLP models., • Design experiments, run evaluations, and iterate on modelling approaches., • Strong applied research experience (PhD or academic work a plus)., • Deep background in retrieval, NLP, LLM evaluation, document understanding., • Python & cloud experience and ability to contribute to production code when needed. 📌 What We’re Looking For Across All Senior Roles Technical Requirements • Strong Python skills, • Cloud experience (AWS preferred), • Experience deploying ML/LLM/IR models, • Background in at least one of:, • LLMs & GenAI, • Information Retrieval, • NLP / Document Processing, • Transformer-based architectures, • Collaborative and pragmatic, • Comfortable in high-growth, product-driven teams, • Able to work fast without over-engineering, • Passionate about modern AI and problem-solving These positions do not provide visa sponsorship and require existing right to work in the UK. Please note: Due to the high volume of applications we are not always able to respond to all applicants, if you have not had a response within 7 days of your application it is likely it has been unsuccessful. If your skillset matched, please apply within.

Applied AI Engineer | London 🚀 One of the fastest moving AI startups in London, backed by some of the world’s top VCs and founded by real entrepreneurs with multiple exits 💸 This is a rare chance to join at an early stage and build at the absolute frontier of applied AI, working directly with the founders on a product already used by global enterprise customers 🔥 Why this is exciting • Build and ship production AI systems including RAG pipelines and AI agents, • Work end to end across backend, infrastructure and AI, • Shape architecture, engineering standards and culture from day one, • Huge ownership and real impact 🧠 What you need • 5+ Years professional software experience (Python), • Excellent Educational Background (BSc, MSc, PhD - 2.1 or higher), • Hands-on experience building and deploying AI applications, • Comfortable moving fast in high ambiguity environments, • Genuine passion for building products that scale 🎁 What is on offer • Very competitive salary + meaningful equity, • Direct access to truly entrepreneurial founders, • A defining role at one of London’s most ambitious startups Challenging and intense, but tons of fun 🙌 Apply here, or pop your CV to to find out more!

🚀 Job Opportunity: Senior C# Quantitative Developer | Capital Markets Technology Location: London Type: Full-time / Contract Rate: £800 p/d (Outside IR35) Client: Leading Global Investment Bank Hybrid: 1 day per week in the office Are you ready to be at the forefront of technology and finance? Our client, a top-tier investment bank, is looking for a Senior C# Quantitative Developer to join their high-impact Capital Markets Technology team in London. This is a unique opportunity to bridge the worlds of quantitative analysis and software engineering—delivering cutting-edge solutions to drive pricing, risk management, and liquidity strategies in real-time trading environments. 🔍 About the Role As a Senior Quantitative Developer, you’ll collaborate closely with quantitative analysts, traders, and fellow technologists to develop and optimize core components of the bank’s pricing and risk infrastructure. You'll be responsible for translating complex financial models into high-performance, production-ready systems—driving both innovation and stability in capital markets technology. 💼 Key Responsibilities 1. Development & Optimization • Implement decomposition logic for structured products including funding, fees, and charges., • Integrate and refine pricing and risk models for real-time trading environments., • Develop rules-based liquidity management for quoted underlyings., • Enhance back testing, data analytics, and regression infrastructure., • Build and maintain low-latency, high-throughput systems. 2. Cross-functional Collaboration • Work side-by-side with quants and traders to productionize mathematical algorithms., • Partner with infrastructure and DevOps teams to scale and deploy applications effectively. 3. System Monitoring & Support • Ensure reliability and performance of live systems through proactive monitoring., • Provide occasional on-call support to maintain system uptime and stability. 🎓 Qualifications Required: • Degree in Computer Science, Engineering, Mathematics, Physics, or similar., • 10+ years of hands-on development experience in C# / .NET., • Solid grasp of financial instruments (equities, derivatives, fixed income, FX, commodities)., • Proven experience building scalable, multi-threaded systems., • Proficiency with SQL Server, MongoDB, and Git., • Background in front-office environments within an investment bank, hedge fund, or fintech firm. Preferred: • MSc or PhD in a quantitative discipline., • Experience with structured products, particularly structured notes. 🌟 What We’re Looking For • A critical thinker with outstanding analytical and problem-solving abilities., • A team player who thrives in high-pressure, dynamic environments., • Excellent communicator with a proactive, collaborative mindset., • A self-starter who takes ownership and consistently drives results. This is a highly visible role with significant impact, offering the chance to work on complex financial instruments and contribute directly to the bank’s trading strategies and platform evolution. If you're passionate about finance and engineering and want to work alongside some of the best minds in the industry—we want to hear from you. Apply now to learn more.

Technical Quantitative Developer / Software Engineer with deep Computer Science expertise applied to Python, its libraries and ecosystem as well as professional experience with SDLC tooling, Linux, Docker, and SQL sought to join a specialist London Headquartered Quantitative 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 target architecture will be written in pure Python, with SQL RDBMS, a Dockerised On-Prem RedHat Linux platform. Python is the primarily required skill, however solid professional profiency of building and shipping software in Linux/Docker environments as well as SDLC tooling such as GitLab CI/CD are also required. 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.

Junior Applied Scientist London — Onsite Our client are building context-aware agentic systems that augment data science, software, and product teams inside large enterprises. The systems reason over complex organisational data, take multi-step actions, and integrate deeply with existing business workflows. We are now expanding the Applied Science team and are looking for exceptional early-career researchers who want to work on cutting-edge ML in a fast-moving product environment. This role is ideal for candidates finishing (or recently completing) a PhD at a top university, with a research track record at leading ML/AI conferences. As this is a role within the Applied team, candidates must be confident in their ability to move research through to production. What You’ll Work On • Develop and iterate on core models for context-aware enterprise agents, including planning, retrieval, grounding, and multi-step decision pipelines., • Conduct research on any ML frontier relevant to agentic systems e.g., LLMs, multimodal models, structured reasoning, data generation, or video-text modelling., • Build robust training, evaluation, and benchmarking setups for new model variants and agent behaviours., • Prototype new agent capabilities and work closely with engineering teams to turn them into production-quality features., • Analyse failure modes of agents in real customer environments and design methods to improve reliability, grounding, and actionability., • Contribute to internal research papers, technical memos, and (where appropriate) external publications. Who You Are • Currently completing or recently completed a PhD in Physics, Mathematics, Machine Learning, Computer Science, or a related field from a top university., • Strong publication record at leading venues such as NeurIPS, ICML, ICLR, ACL, CVPR, ICCV, or EMNLP., • Solid understanding of modern ML architectures (transformers, diffusion, retrieval-augmented systems, reinforcement learning, etc.)., • Strong coding skills in Python and experience with at least one major ML framework (PyTorch, JAX, TensorFlow)., • Ability to bridge high-level research with practical implementation., • Curious, humble, and excited to work on hard technical problems with real enterprise impact. Nice to Have • Experience in agentic or autonomous decision-making systems (not required)., • Prior work on LLM alignment, grounding, tool use, or planning., • Experience with enterprise data environments, knowledge graphs, or retrieval systems., • Hands-on experience with large-scale training, distributed compute, or evaluation tooling. Why Join? • Work on a high-impact ML problem space that blends deep research with real product deployment., • Collaborate with a world-class team of scientists and engineers with prior experience at leading AI labs and tech companies., • Opportunity to publish, attend conferences, and lead impactful research directions early in your career., • Competitive salary, equity, and benefits., • Located in central London with a strong in-person research culture.

Senior Mapping Engineer (Large-Scale HD Mapping) — First Key Hire Circa £80k+, London based Want to work for an advanced start up building real-world autonomous systems? We’re looking for a highly skilled Senior Mapping Engineer to become the first dedicated mapping lead. This is a high-ownership role where you’ll take charge of the high-accuracy, large-scale mapping capability, set the technical roadmap, and grow and mentor a mapping team as deployments scale. You’ll maintain and evolve an existing mapping codebase, enhancing accuracy, stability, and scalability across challenging industrial and autonomous environments. Working closely with perception, localization, and navigation, you’ll ensure themaps are drift-free, up-to-date, and deeply integrated into the autonomy stack—from raw sensor data to validated, deployed map products. What you’ll do • Own and advance scalable LiDAR- and vision-based mapping pipelines., • Build and improve 2D/3D representations: occupancy grids, vector/HD maps, semantic layers, environment models., • Lead multi-sensor fusion (LiDAR, cameras, radar, GNSS/INS, odometry) into coherent, consistent map outputs., • Deliver large-scale capabilities like multi-session mapping, fleet workflows, map versioning, delta updates, and distributed map generation., • Maintain tight integration with SLAM/Localization to ensure stable, drift-free deployment performance., • Define KPIs and validation frameworks for map accuracy, completeness, and consistency., • Translate state-of-the-art research (SLAM, semantic mapping, multi-modal reconstruction) into production systems., • Set best practices and technical standards to support future team growth. Experience required • MSc/PhD in Robotics, Computer Vision, Computer Science, or related field., • 4–5+ years hands-on mapping experience in autonomous systems or robotics., • Deep expertise in LiDAR/point-cloud processing (PCL, Open3D, custom pipelines)., • Strong background in vision-based mapping / visual SLAM and multi-sensor fusion., • Proficiency in C++ with strong experience in ROS2., • Solid grounding in estimation, optimization, geometry, kinematics, and TF2. Why join You’ll own a mission-critical autonomy capability, shape the map product and technical direction, work on live deployments, and step into a clear path to build and lead your own mapping team.

Senior Navigation Control Engineer – (Future Leader Opportunity) Circa £80k+, London based An advanced SME developing real-world autonomous systems is looking to hire a Senior Navigation Control Engineer as a key early addition to its edge autonomy team. This is a high-ownership role where the successful candidate will take responsibility for the navigation control stack, help shape the technical roadmap, and play a key role in scaling the system for live fleet deployment as the company grows. The role focuses on maintaining and evolving an existing navigation codebase, making it robust, secure, and production-ready for articulated vehicles operating in complex industrial environments such as seaports. Working closely with perception, localisation, and systems engineers, the engineer will ensure safe, efficient, and reliable autonomous navigation from planning through control. What you’ll do • Own the design, development, and optimisation of the navigation layer, including path planning, behaviour planning, motion/trajectory planning, and vehicle control., • Collaborate closely with perception and localisation teams to enable safe, informed decision-making., • Establish KPIs and testing frameworks for navigation performance in SIL and HIL environments., • Ensure compliance with safety and performance standards such as SOTIF., • Translate advances in navigation, motion planning, and control research into deployable production solutions., • Contribute to engineering standards and best practices as the autonomy team scales. Experience required • MSc or PhD in Robotics, Computer Science, Electrical or Mechanical Engineering, or a related field., • 4–5+ years’ experience working on autonomous vehicles or robotic systems., • Strong expertise in path planning, behaviour planning, motion/trajectory planning, and control systems., • Excellent C++ and Python skills with good knowledge of ROS2., • Strong understanding of vehicle kinematics, dynamics, and control theory., • Hands-on experience testing navigation algorithms on real robots or autonomous vehicles. Why join This role offers the opportunity to own a critical autonomy capability within a growing SME, influence technical direction, work on live industrial deployments, and step into a position with clear scope to expand responsibility and mentor others as the navigation function grows.

System Optimisation Engineer | London | Hybrid | Upto £80K DoE Are you an Engineer or recent PhD graduate who has experience in optical or AI/ ML Systems and test frameworks for the optimisation of AI platforms? Then this might just be the role for you! We are working with a London-based Computer Networking company who are working on the cutting edge of AI and Machine learning technology. Responsibilities: • Design automated test frameworks for optical networks using Python, C++, • Develop integrated hardware solutions across network systems using hardware instruments, BERTS, Burst-mode test, and oscilloscopes., • Engineer optimisation algorithms as part of the test framework platform and metaheuristic algorithms, • Support across the validation of testing, and analysis of data for improvement, • Collaborate with cross-functional teams of hardware, software, embedded and electronic engineers. Skills: • Software scripting and Automation experience using Python, C++, C#, • Experience in generating and scripting algorithms for AI/ML applications, as well as Metaheuristic optimisation., • Understanding of cloud-based environments and data pipelines., • Degree in either Computer Science, Electrical/Electronic, or related. What’s in it for you? • Up to £80k DOE, • Lucrative stock options., • 25 days holiday + bank holidays., • Hybrid working., • Relocation assistance., • Visa sponsorship provided.