Trabajos applied science en Reino Unido

Machine Learning Engineer - £110k – £130k – Geospatial Tech 4 GoodMachine Learning | Deep Learning | Time Series | Climate | Remote Sensing | PyTorch | scikit-learn | Geospatial | AWS | MLOps | Python | Risk Modelling | FinTech |Do you want to work with a business building AI-native data system that bring clarity and credibility to nature-based assets?A business tackling complex, real-world environmental challenges, helping organisations make high-impact decisions around risk, resilience and commercial performance?This is the chance to join as a Machine Learning Engineer working with a climate-tech scale-up applying cutting-edge Machine Learning to satellite data, weather models and environmental signals, reshaping how nature is valued in real-world decision-making.Joining their AI team, you’ll design and deploy models that forecast climate volatility, detect vegetation stress, and generate risk-driven insights from remote sensing and time-series data. You’ll work across AI, climate science, geospatial modelling and scalable pipelines, contributing meaningfully from day one.What you’ll be working on:• Building and evaluating Machine Learning/DL models for satellite, weather and climate data• Forecasting environmental and risk-related signals (volatility, vegetation stress, land-surface change)• Developing geospatial and remote-sensing models (Sentinel-1/2, GEDI, optical, radar, LiDAR)• Creating time-series and forecasting models for environmental change• Translating business questions into robust modelling problems• Turning research prototypes into scalable, reproducible AI pipelines• Communicating assumptions, uncertainty and results clearlyThe must-haves:• Strong background in Machine Learning, DL and Applied Statistics• Time-series modelling + backtesting• Experience with geospatial and climate datasets• Python stack: PyTorch, scikit-learn, scipy• Reproducible workflows (Git, AWS/cloud, W&B)Nice-to-haves:• Risk modelling, financial time series, portfolio optimisation (great for FinTech/quant backgrounds)• Climate/weather datasets (CMIP, forecast data)• Geospatial tools: rasterio, xarray, geopandas, GDAL• Remote sensing (optical, radar, LiDAR)• MLOps: CI/CD, containerisation, monitoring• Startup or fast-paced product environmentThe role offers £110k–£130k, a global team environment, and the chance to shape the future of AI-powered environmental and risk intelligence.If it ticks those boxes, don’t hang about message me: Machine Learning | Deep Learning | Time Series | Climate | Remote Sensing | PyTorch | scikit-learn | Geospatial | AWS | MLOps | Python | Risk Modelling | FinTech |

An exciting opportunity has arisen for a Threat Detection Engineer to join a well-established biotech company using large-scale genetic data and AI to predict disease risk and advance precision healthcare. As a Threat Detection Engineer, you will be responsible for developing and enhancing threat detection capabilities within a modern cloud-first setting. This role offers hybrid / remote working options, a salary range of £60,000 - £80,000 and benefits. You will be responsible for: • Designing and implementing threat-led detection logic informed by threat intelligence and hunting activities., • Developing innovative analytical techniques to identify incidents effectively., • Collaborating with an outsourced SOC to maintain, tune, and optimise detection catalogues., • Creating and refining DLP, Insider Risk Management, and other security rules using cloud-native tools., • Monitoring and ensuring high-quality service delivery from external SOC providers., • Automating reporting on security performance and operational metrics., • Partnering with technology teams to ensure adequate monitoring across cloud platforms, SaaS, and internal systems., • Documenting security processes, tool configurations, and contributing to service delivery documentation., • Previously worked as a Threat Detection Engineer or in a similar role., • Must have strong expertise in KQL., • Hands-on experience with Microsoft Sentinel and Defender (Endpoint, Office 365)., • Familiarity with Microsoft Entra ID, including Identity Governance., • Experience with Microsoft Purview, particularly DLP and data protection tools., • Exposure to cloud-native logging in Azure and Kubernetes environments., • Understanding of “detection as code” or “everything as code” approaches, including CI/CD pipelines., • Experience working with or alongside MSP SOC teams., • Awareness of Agile methodologies and ways of working., • Knowledge of attacker TTPs, threat modelling, and cyber security frameworks., • Understanding of statistics, data science, or AI/ML as applied to security., • Awareness of ISO 27001 standards. Relevant job titles: Threat Detection Engineer, Cyber Threat Engineer, Detection & Response Engineer, Security Detection Engineer Important Information: We endeavour to process your personal data in a fair and transparent manner. In applying for this role, Additional Resources will be acting in your best interest and may contact you in relation to the role, either by email, phone, or text message. For more information see our Privacy Policy on our website. It is important you are aware of your individual rights and the provisions the company has put in place to protect your data. If you would like further information on the policy or GDPR please contact us. Additional Resources Ltd is an Employment Business and an Employment Agency as defined within The Conduct of Employment Agencies & Employment Businesses Regulations 2003. Keywords: Cyber Threat Engineer,Detection & Response Engineer,SIEM Engineer,Security Detection Engineer,Threat Hunting Engineer,Security Automation Engineer,SOC Engineer,Incident Response Engineer,Cloud Security Engineer,Network Security Engineer,Cybersecurity Analyst (Threat Focus),Threat Intelligence Analyst,Security Monitoring Engineer,Endpoint Security Engineer,Cyber Defense Engineer

An exciting opportunity has arisen for a Threat Detection Engineer to join a well-established biotech company using large-scale genetic data and AI to predict disease risk and advance precision healthcare. As a Threat Detection Engineer, you will be responsible for developing and enhancing threat detection capabilities within a modern cloud-first setting. This role offers hybrid / remote working options, a salary range of £60,000 - £80,000 and benefits. You will be responsible for: • Designing and implementing threat-led detection logic informed by threat intelligence and hunting activities., • Developing innovative analytical techniques to identify incidents effectively., • Collaborating with an outsourced SOC to maintain, tune, and optimise detection catalogues., • Creating and refining DLP, Insider Risk Management, and other security rules using cloud-native tools., • Monitoring and ensuring high-quality service delivery from external SOC providers., • Automating reporting on security performance and operational metrics., • Partnering with technology teams to ensure adequate monitoring across cloud platforms, SaaS, and internal systems., • Documenting security processes, tool configurations, and contributing to service delivery documentation., • Previously worked as an SOC Analyst, Threat Detection Engineer or in a similar role., • Must have strong expertise in KQL., • Hands-on experience with Microsoft Sentinel and Defender (Endpoint, Office 365)., • Familiarity with Microsoft Entra ID, including Identity Governance., • Experience with Microsoft Purview, particularly DLP and data protection tools., • Exposure to cloud-native logging in Azure and Kubernetes environments., • Understanding of “detection as code” or “everything as code” approaches, including CI/CD pipelines., • Experience working with or alongside MSP SOC teams., • Awareness of Agile methodologies and ways of working., • Knowledge of attacker TTPs, threat modelling, and cyber security frameworks., • Understanding of statistics, data science, or AI/ML as applied to security., • Awareness of ISO 27001 standards. Relevant job titles: Threat Detection Engineer, Cyber Threat Engineer, Detection & Response Engineer, Security Detection Engineer Important Information: We endeavour to process your personal data in a fair and transparent manner. In applying for this role, Additional Resources will be acting in your best interest and may contact you in relation to the role, either by email, phone, or text message. For more information see our Privacy Policy on our website. It is important you are aware of your individual rights and the provisions the company has put in place to protect your data. If you would like further information on the policy or GDPR please contact us. Additional Resources Ltd is an Employment Business and an Employment Agency as defined within The Conduct of Employment Agencies & Employment Businesses Regulations 2003. Keywords: Cyber Threat Engineer,Detection & Response Engineer,SIEM Engineer,Security Detection Engineer,Threat Hunting Engineer,Security Automation Engineer,SOC Engineer,Incident Response Engineer,Cloud Security Engineer,Network Security Engineer,Cybersecurity Analyst (Threat Focus),Threat Intelligence Analyst,Security Monitoring Engineer,Endpoint Security Engineer,Cyber Defense Engineer

Science Lecturer (BTEC / Applied Science) – Expression of Interest Location: South London & Docklands (Southwark College, Lewisham College and HE Centre – Harbour Exchange, Canary Wharf)Contract: Temporary / Bank / Casual / PermanentHours: Flexible – dependent on curriculum needsEmployer: The Supply Register (on behalf of NCG South London Colleges) The Supply Register is currently inviting expressions of interest from qualified and enthusiastic Science Lecturers to join our bank staff supporting NCG South London Colleges, including Southwark College, Lewisham College, and the HE Centre at Harbour Exchange in Canary Wharf. This opportunity is ideal for an experienced Science Lecturer specialising in BTEC or Applied Science who is seeking flexible teaching opportunities within a dynamic Further and Higher Education setting. As a Science Lecturer, you will deliver engaging and practical lessons that help learners develop both theoretical knowledge and hands-on laboratory skills. Bank Science Lecturer staff play an important role in supporting curriculum delivery and ensuring learners receive high-quality education across Applied Science programmes. The Role As a Science Lecturer, your responsibilities will include: • Delivering high-quality teaching across BTEC and Applied Science courses (Level 1–Level 3), • Teaching a range of science topics including biology, chemistry, and physics applications, • Supporting practical laboratory sessions and ensuring safe working practices, • Planning and preparing engaging and inclusive lessons, • Monitoring student progress and providing feedback and academic support, • Creating a positive and professional learning environment What We’re Looking For Essential: • Teaching qualification (PGCE, Cert Ed, DTLLS, or equivalent), • Relevant degree in Applied Science, Biology, Chemistry, Physics, or a related subject, • Experience teaching science within Further Education, Higher Education, or schools, • Strong classroom management and organisational skills, • Experience delivering BTEC Applied Science or similar vocational science qualifications, • Experience supporting laboratory practicals and coursework assessment, • Enhanced DBS on the Update Service (or willingness to obtain) Why Work with The Supply Register? Flexible bank work to fit around your availability Weekly pay and competitive hourly rates Opportunities to work across NCG South London Colleges and the HE Centre at Harbour Exchange Ongoing support from a dedicated education consultant Potential for longer-term or permanent teaching opportunities Safeguarding Statement The Supply Register and NCG South London Colleges are committed to safeguarding and promoting the welfare of children, young people, and vulnerable adults. All applicants will be required to complete appropriate safeguarding checks, including an enhanced DBS. Apply now via The Supply Register to register your interest in Science Lecturer bank opportunities across South London and Docklands.

Chemistry Teacher • £32000- £48000, • London, • Permanent- Full Time (Part Time considered) You will deliver engaging and high-quality A-level Physics (and/or Level 3 Applied Science) to students, supporting them to achieve excellent outcomes and progress to university or employment. Key responsibilities: • Deliver A-level Chemistry and/or BTEC Applied Science, • Plan and deliver engaging, differentiated lessons, • Prepare students for exams and coursework success, • Monitor progress and provide targeted support, • Highly competitive London salary, • Excellent Career Progression opportunities, • Degree in Chemistry or a related subject, • Teaching qualification, or willingness to work towards one, • Experience teaching Physics at A-level or Level 3, • Strong subject knowledge and passion for science, • Ability to motivate and inspire learners, • Enhanced DBS Morgan Hunt is a multi-award-winning recruitment business for interim, contract and temporary recruitment and acts as an Employment Agency in relation to permanent vacancies. Morgan Hunt is an equal opportunities employer. Job suitability is assessed on merit in accordance with the individual's skills, qualifications and abilities to perform the relevant duties required in a particular role.

Location: London - 2 days on site Salary: Up to 67000 + 30 Days Holiday + Performance Bonus Sector: Independent National Standards & Research The Opportunity They are seeking a Lead Data Scientist to join a high-impact Directorate of Data Science and AI at the heart of Great Britain's national infrastructure. This is not a "typical" tech role; you will lead the development of digital products and decision-support tools that directly improve the safety, efficiency, and sustainability of a major national network. As a senior practitioner, you will bridge the gap between technical delivery and senior leadership. You will be the technical heartbeat of the team - ensuring high-quality modelling practices while mentoring junior colleagues and modernising our AI capabilities. The Role * Technical Leadership: Act as a senior hands-on practitioner, leading the delivery of analytical and ML workstreams. * Modernisation: Take an active interest in emerging tools (including Agentic frameworks and Generative AI) to strengthen the team's capability. * Mentorship: Provide technical guidance, code reviews, and coaching to junior scientists to build a culture of excellence. * Operational Excellence: Uphold best practices in coding, documentation, and Reproducible Analytical Pipelines (RAP). * Collaboration: Work closely with subject matter experts and architects to ensure outputs are robust and ready for real-world operational use. Your Profile They are looking for a candidate who values rigour as much as innovation. You likely have a background in the Public Sector, Government (Grade 7 equivalent), or a highly regulated industry. Essential Experience: * End-to-End ML: Proven experience delivering applied data science projects from feature engineering to deployment. * Python Mastery: Expert-level Python skills with a focus on code structure, testing, and version control. * Governance: A deep commitment to reproducibility, model assurance, and secure data workflows. * Agile Delivery: Experience working in iterative, sprint-based environments. * Communication: The ability to tell a story with data to both technical and non-technical stakeholders. Desirable: * Experience deploying models within Azure cloud environments. * Familiarity with Safety-Critical environments (e.g., Transport, Energy, Healthcare). * Experience with agentic frameworks or modern AI orchestration. Why Apply? This organisation is renowned for its commitment to staff wellbeing and professional development. * Work-Life Balance: 30 days annual leave (plus bank holidays), flexible core hours, and hybrid working. * Health & Future: Private medical and dental cover, performance-related bonus, and a highly competitive pension scheme. * Impact: Your work will have a tangible effect on the safety and sustainability of national infrastructure used by millions.

Position Overview: Napa Centre is looking to hire a qualified Speech and Language Therapist to join the brand-new London clinic. The salary for this opportunity is £45,000-£70,000, depending on experience. Speech and Language Therapists provide services to develop, enhance, or restore functional communication, speech, language, and/or feeding/swallowing skills of clients whose abilities to communicate effectively and/or to eat safely and efficiently are threatened or impaired by physical, cognitive, social-emotional, and sensory impairments. Speech and Language Therapists at NAPA Centre complete skilled assessments and provide skilled intervention to infants, toddlers, children, and adolescents with a variety of diagnoses that impact speech production, receptive language, expressive language, social-pragmatic skills, and feeding/swallowing skills within the professional scope of practice. The role requires all therapists to work as part of a multi-disciplinary team and provide evidence-based interventions to clients that include complex communication and feeding needs. Requirements: • Minimum qualifications include completion of at least a Master of Arts or Applied Science in Speech Language Therapist, Communication Disorders, Communication Sciences and Disorders, or equivalent, from an accredited university., • License to practice from the UK Charted Society for Physiotherapy., • Must have and maintain ASHA CCC credentials., • Strong clinical experience - at least 2 years post graduate experience, preferably in a pediatric setting with exposure to children and/or young adults with complex disabilities., • Enhanced DBS check., • CPR and First Aid certificates., • Good physical health and fitness, including the ability to frequently perform, on a daily basis, the following movements over a 6-8 hour period without experiencing pain or abnormal fatigue:Lift, push or pull up to and including 22 KG with hands and wrists as therapeutic handling is manually intensive, • Independently transfer dependent patients up to 38 KG, • Independently offer contact guard assistance for ambulatory patients of up to 56 KG, • Maintain extended periods of standing and/or sitting on the floor for up to 7 hours per day, • Move from floor to standing position back to floor frequently (6-7 hours) throughout the day, • Create a safe, professional, and supportive environment where clients, families and colleagues feel empowered to succeed., • Ability to communicate confidently and effectively with clients and other medical professionals., • Display a level of professional empathy towards clients and the ability to develop rapport., • Maintain appropriate professional boundaries with clients and their families., • Exercise discipline by completing all documentation, reporting requirements and training in an accurate and timely manner., • Team player that can demonstrate the values for working as part of multi-disciplinary team to advance a client’s needs., • Demonstrates the ability to take on additional responsibilities with time, including assessment and development of treatment plans for more complex cases, supervision of therapy aides/volunteers and additional clinic responsibilities., • Ability to travel for periods of time for training/treating may be required. Responsibilities: • Assessment, diagnosis, and treatment with documentation of speech, language, social communication, cognitive-communication, and feeding-swallowing disorders primarily in the paediatric population., • Possess general knowledge of child development to assess and refer families to other disciplines when appropriate.Assess a client’s communication and/or feeding/swallowing skills using a variety of standardized tools and clinical observation/informal analysis to identify primary impairments and determine a plan for treatment., • Utilize multiple frames of reference to inform practice including but not limited to: neurodevelopmental, developmental biomechanical, sensory integration, motor learning, cognitive, and rehabilitation., • Create tailored treatment plans to address client’s limitations, taking into account their age, abilities, and other medical/physical factors., • Involvement with patient, family, and caregivers to train, teach, and provide strategies to improve communication in all environments., • Assessment, development, application and/or training in the use of aided communication devices., • Demonstrate understanding of the use of various AAC systems and access methods, including, but not limited to, eye gaze and switch access., • Demonstrate understanding of assessment and treatment of oral-pharyngeal motor skills, feeding/swallowing mechanics, and sensory-based feeding difficulties., • Utilization of multi-modal communication strategies (manual signs, Augmentative and Alternative Communication, verbal language, gesture, body language, partner-assisted scanning, etc.)., • Prescribe home exercise programs for patient/caregivers to promote carryover and generalization of skills obtained during therapy sessions for continued progress in the community., • Adapt environments and processes to enhance functional performance of clients in and out of therapy sessions., • Actively participate in professional development including continuing education opportunities provided through the organization, from outside providers, as well as through opportunities offered as part of regular clinical supervision, • Maintain impeccable documentation. Ensure that treatment notes are recorded accurately and timely in the electronic health record system, according to the policies of NAPA Centre., • Report writing including but not limited to evaluations, progress reports, school district Education Health Care Plans (EHCP), • Act as a member of an interdisciplinary team to create a comprehensive developmental approach to client-centered care., • Develop rapport with clients and families to build a relationship of trust and mutual respect., • Work closely with administrative staff to manage the schedule and ensure that time is being used productively., • Provide input into the development of clinical practices and procedures., • Act in accordance with all company, legal and industry policies and ethics., • Comply with all professional development requirements for maintenance of registration as a Speech & Language Pathologist with the appropriate licensing board., • Work in a healthy and safe manner and encourage others to do the same Benefits: • Medical, dental, and vision insurance, in addition to non-medical options such as hospital indemnity and critical illness., • Paid time off accruals immediately upon start., • Personal time (12 hours annually to be used for appointments that cannot be made outside of work hours)., • Wellness program with a stipend to be used for an appointment that focuses on physical and mental wellness., • Professional development allowance of $500 upon each year of qualifying service, with the ability to roll to the next year, up to $1,000 total., • Growing families program that allows increased compensation for 1 - 2 years following the birth or adoption of a child., • International opportunities in London and Australia., • 12-week training opportunities and ongoing mentorship throughout employment., • annual merit increase based on performance review., • Step program that allows for increased clinical skills and additional compensation during the annual review for each level achieved. Company Values: All NAPA Centre employees must demonstrate the company’s core values, which include: • Love –NAPA is a family business built on the love that parents have for their children. Embody NAPA’s spirit of love through kind actions, warmth, and communication used every day., • Share – strive to collaborate and educate as part of the NAPA team, so that our clients and their families leave NAPA with positivity and hope., • Grow – evolve, engage and continue to learn, from our clients, our colleagues and our industry so that we truly offer the best therapy possible., • Hope – believe in the potential of every child and commit to helping them succeed, giving families hope when others have failed.

Job Title: Python Data Engineer (Greenfield Build) Location: Central London (Hybrid - 3 days in office / 2 days remote)Contract: 12-month Fixed-Term Contract (with benefits + 10% year-end bonus) Overview We are working with a leading financial services organisation to hire two Python-focused Data Engineers to support a major greenfield data transformation programme within its Investments and Finance functions. These roles will sit across Shared Services, working closely with senior investment leadership and cross-functional stakeholders to design and build a consolidated data platform from scratch. The Opportunity This is a rare opportunity to join a ground-up build of a strategic data solution. The successful candidates will play a key role in replacing manual data processes with an automated, scalable Python-based architecture, enabling more accurate and consistent investment reporting across the business. The first phase of the programme will focus heavily on hands-on development, followed by broader collaboration, stakeholder engagement, and transition into business-as-usual operations. Key Responsibilities • Build a consolidated data platform from scratch using Python, • Automate existing manual data processes across investment and finance data sets, • Design and implement scalable data solutions to improve reporting accuracy and consistency, • Work closely with senior stakeholders across Investments and Finance, • Collaborate with cross-functional teams to embed and operationalise the solution, • Support knowledge transfer and handover into BAU, • Strong expertise in Python (this is the core requirement), • Experience in data analytics and data manipulation, • Exposure to AI tooling or applied data science techniques, • Experience with Snowflake, • Experience with Databricks (Not essential) Candidate Profile, • Strong Python engineer with a data-focused background, • Comfortable working in greenfield / build-from-scratch environments, • Strong stakeholder management and communication skills, • Able to work across business and technical teams, • Agile and adaptable to changing business priorities, • Industry background is flexible (financial services experience not essential)

Head of AI Type: Permanent The Opportunity A global professional services organisation is seeking an AI Capability Leader to design and scale its AI learning and community strategy. This senior role focuses on building practical, market-aligned AI capability while supporting enterprise clients and internal go-to-market activity. The Role You will lead the design and evolution of AI learning pathways aligned to current and emerging market needs, working across areas such as GenAI, machine learning, data science, and AI engineering. Partnering closely with commercial and delivery teams, you'll ensure learning programmes are job-ready, commercially relevant, and aligned to wider business goals. You will also build and grow a global AI community, creating structured engagement and opportunities for collaboration, knowledge sharing, and mentorship. Insights from this ecosystem will directly influence learning outcomes and client-facing solutions. As a subject matter expert, you'll support AI readiness assessments, client conversations, and AI go-to-market initiatives. Key responsibilities include: • Designing and curating AI learning pathways aligned to industry demand, • Building and nurturing a global AI practitioner and mentor community, • Supporting AI readiness frameworks and client capability assessments, • Contributing to AI go-to-market messaging, thought leadership, and pre-sales activity About You • Background in AI, data, analytics, or related consulting / enablement roles, • Experience delivering AI learning, talent, or capability-building programmes, • Strong understanding of applied AI and GenAI trends, • Comfortable engaging senior stakeholders across technical and commercial teams Why Apply This is a high-impact opportunity to influence AI capability at scale within a globally connected organisation at the forefront of AI transformation.

Founding Applied AI Engineer WilsonAI is building Cursor for lawyers - helping them review, negotiate, and manage contracts with unprecedented speed and accuracy. Weʼre backed by Nomad Ventures and Autopilot, and raised a $1.7M pre-seed round at the end of 2024. Since then, weʼve stabilised our product with early customers, beaten competitors in head-to-head pilots with teams of hundreds and $100Ms in revenue, and scaled via founder-led sales to multi–six-figure revenues - 50X growth since the start of the year. Weʼve been featured in The Lawyer, Artificial Lawyer, and more. Weʼre at the very beginning of the opportunity to transform the $1 trillion legal industry with AI, and weʼre building an elite team to do it. The Role Weʼre looking for an exceptionally driven and smart Applied AI Engineer. Youʼll work very closely with our CTO, across both customer-facing roles as well as deep technical buildouts. You will work very hard, get your hands dirty, and own tasks end-to-end with limited direction. In return, youʼll gain rare exposure to what it takes to scale an AI startup at the ground level, and see what it takes to win. This role will be demanding. What Weʼre Looking For • Strong computer science fundamentals, exceptional clarity of thought, and sharpness in problem solving., • Evidence of personal agency in driving toward net optimal outcomes., • Strong machine learning priors, ideally with experience training ML models for production use-cases., • Ability to hold large, complex systems in working memory and reason clearly about mechanics and failure-modes., • Attention to detail. Code is 15., • Gritty, fast learner, self-directed, and eager to progress much faster than peers. Are you ready? • We are at the cusp of a technological revolution in the legal industry., • We are optimising for speed, and seeking those fast enough to come with us., • This is your opportunity to be at the center of a technological revolution in the legal industry., • If you're ready to challenge yourself, grow exponentially, and make a lasting impact, we want to hear from you.

About the Role: Grade Level (for internal use): 15 The Team The Enterprise Solutions Technology team is dedicated to delivering next-generation, high-scale technology platforms through resilient architecture, data excellence, and engineering innovation. Our mission is to enhance our digital presence and improve customer engagement across various domains, including Lending, Corporate Actions, Tax, Regulatory & Compliance, Regulatory Reporting, Public Markets, and Private Markets portfolio monitoring. Role We are seeking a Data Scientist Leader to lead the design, development, and operation of high-rigor analytical and machine-learning systems across a complex, regulated financial-services estate. This is a strategy-led and hands-on applied data science and ML engineering role, responsible for defining the AI/ML roadmap for Enterprise Solutions while also building high-rigor analytical and predictive models for anomaly detection, variance analysis, drift detection, market and behavioral signals, forecasting, and prediction. The expectation is production-grade models, comparable in rigor to fraud, risk, or surveillance systems. What's In for you : The role exists to ensure AI/ML strategy is sound and that analytical models are correct, explainable, reliable in production, and able to withstand operational and regulatory scrutiny. You will work closely with engineering, data platform, and product teams to take models from problem definition through to production operation, including feature engineering, back-testing, deployment, monitoring, and ongoing performance management. You will get involved early in complex or high-risk analytical problems and step in when models degrade or fail in production. A key part of the role is knowing when to apply advanced modelling, when simpler approaches are sufficient, and when modelling is not appropriate. You may have limited line management responsibility, but impact is driven primarily through hands-on technical contribution, review, and influence. Responsibilities: • Strong experience delivering applied data science and machine learning in production within banking, capital markets, or similarly regulated, data-intensive environments., • Deep grounding in statistics, machine learning, time-series analysis, and predictive modelling, with experience building models under real operational constraints., • Hands-on ownership of the full model lifecycle: data exploration, feature engineering, model development, back-testing, validation, deployment, monitoring, and ongoing tuning., • Extensive experience working with large, complex, and imperfect datasets, including missing data, outliers, regime changes, noisy labels, and evolving schemas., • Strong understanding of production ML system design, including batch vs real-time inference, model serving patterns, performance trade-offs, and failure modes., • Experience operating models in production over time, including versioning, drift detection, retraining strategies, and incident response when models misbehave., • Practical experience designing explainable models suitable for regulated environments, including feature attribution and model transparency techniques., • Experience combining statistical models, ML, semantic models, and rules-based logic where needed to achieve accuracy, stability, and explainability., • Strong focus on data quality, anomaly detection, and monitoring, including metrics that surface real issues and drive sustained improvement. Experience & Mindset, • 20+ years working with analytics, data science, or ML systems in production, with significant experience in financial services or other regulated, high-availability domains., • Comfortable working directly with data, models, and code, and collaborating closely with software engineers and platform teams., • Pragmatic and outcome-driven; measures success by models that run reliably in production, adapt to changing conditions, and withstand scrutiny., • Clear communicator who can explain modelling choices, assumptions, and limitations to engineers, product partners, and senior stakeholders., • Acts as a technical mentor to other data scientists through review, pairing, and example, limited people management where appropriate. About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit . What's In It For You? Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our benefits include: • Health & Wellness: Health care coverage designed for the mind and body., • Flexible Downtime: Generous time off helps keep you energized for your time on., • Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills., • Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs., • Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to:" "and your request will be forwarded to the appropriate person." US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf " describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf 10 - Officials or Managers (EEO-2 Job Categories-United States of America), IFTECH102 - Senior Management (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)

Verve is a cashback and rewards platform that connects consumers, brands, and financial partners through a single API. We power loyalty programmes for fintech and banking clients while giving consumers access to cashback offers and gift card rewards directly through the Verve app. Part of Quantum Financial Holdings Group, we serve three audiences: Consumers earning cashback and rewards on everyday spend; Brands using our platform to drive customer acquisition and retention through targeted incentives; and Strategic Partners (fintechs and banks) who integrate Verve's API to power or enhance their own loyalty propositions. We closed 2025 with strong growth across our core KPIs and have a significant partnership with a globally-recognised brand launching imminently. As a result, we have created a new permanent role of Technical Lead to ensure Verve’s platform runs smoothly and evolves at pace with the organisation’s strategy and commercial ambition. The role We're a small, productive team with a vibrant start-up culture, and we're looking for a seasoned Technical Lead to own the architecture, delivery, and evolution of our cashback rewards platform. This is a hands-on leadership role for someone who thrives at the intersection of engineering excellence, product thinking, and scalable fintech infrastructure. You'll lead a cross-functional engineering team, shape the technical roadmap, and ensure the platform stays robust, secure, and performant as we scale. We're looking for an action-oriented pragmatist, someone with a strong sense of ownership who makes sound decisions with imperfect information and is comfortable with the ambiguity that comes with a start-up. You'll translate technical complexity into business impact, challenge ideas constructively, and build trust through transparency and accountability. Low ego, high standards; resilient under pressure and genuinely invested in building products that deliver real value to users. Job Specification Reporting to the Group CTO with a dotted line to the Managing Director, the Technical Lead role will be responsible for: • A scalable, resilient cashback/rewards platform capable of handling high-volume transaction flows;, • A motivated engineering team delivering high-quality features with confidence;, • Clear architectural direction and well-maintained technical documentation; and, • Strong collaboration and support of product, data, operational and commercial teams. Further details on responsibilities: • Own and evolve the end-to-end technical design of our cashback rewards SaaS platform, defining architecture across microservices, data pipelines, and event-driven components, • Lead design reviews, code quality initiatives, and engineering best practices; ensure platform scalability, reliability, and observability across all services, • Mentor engineers, foster a culture of ownership, and drive continuous improvement whilst championing engineering excellence, documentation, and operational readiness, • Collaborate with product, data, operations, and commercial teams to translate business requirements into technical roadmaps and delivery plans, leading sprint planning, estimation, and release management within an Agile/TDD SDLC, • Scope, implement, and maintain software components and modules; manage third-party integrations including Tillo, Truelayer, and Open Banking providers, • Ensure compliance with financial‑grade security, auditability, and data governance Hands-on Engineering • Build and maintain core backend services using Python, Django, and PostgreSQL, • Architect and optimise asynchronous workloads using Celery, Flower, and RabbitMQ, • Design and implement secure, high-throughput APIS and data models, • Oversee deployment pipelines and cloud infrastructure on AWS (e.g., ECS/EKS, Lambda, SQS/SNS, RDS, S3, CloudWatch) Domain Expertise – Cashback & Rewards • Translate cashback, merchant-funded offers, and rewards logic into scalable technical solutions, • Work closely with product, data, operations and partnerships teams to implement: transaction ingestion and enrichment; reward calculation engines; offer eligibility rules; and settlement and reconciliation workflows. Required hard and soft skills, experience: • Demonstrable professional engineering experience building SaaS platforms at scale, • Deep expertise in: Python and Django; PostgreSQL (Schema design, Performance Tuning, Migration); Celery, Flower, RabbitMQ; AWS services (cloud compute, storage, networking, monitoring); and Linux OS, scripting, • Proven experience with Stored Procedures, Common Table Expressions, Window Functions, Partitioning and other advanced RDBMS tasks, • Track record of designing distributed systems and asynchronous architectures, • Strong understanding of secure coding, API design, and cloud-native patterns, • History of leading engineering teams or acting as a senior technical authority, with a proven track record of successful software implementations in Financial Services, • Strong verbal and written communication skills; able to translate complex technical concepts clearly for both technical and non-technical stakeholders, • High attention to detail with strong organisational and time-management abilities, • Comfortable working autonomously and collaboratively; proactive, adaptable, and able to manage multiple priorities in a fast-paced environment Desired skills and experience: • Background in fintech, payments, card-linked offers, or rewards ecosystems, • Experience with event streaming (Kafka, Kinesis), • Familiarity with CI/CD pipelines (GitHub Actions, GitLab CI Runners), • Knowledge of data warehousing or analytics pipelines, • Experience in big data integration / previous work with TBs of data, • BS or MS in Computer Science, Applied Mathematics, Statistics, or area of study related to data sciences and data mining or similar Benefits to include: • Competitive salary, • 25 days holiday plus bank holidays, • Private health insurance, • Hybrid working (Belgravia) Necessary but slightly less exciting bits: • Right to work in the UK, • Upon successful application, candidates will undergo a DBS check or equivalent, • Successful completion of a 6-month probationary period, • Adheres to all company policies and procedures In advance, we apologise as we may not be able to respond to every candidate; however, appreciate your interest. No recruiters please; CVs will be ignored if they are not from the candidate directly.

Applied AI / Automation Engineer 📍 London (Hybrid) 💰 Up to £120,000 (Depending on experience) 📅 12-month FTC We’re partnering with a highly regarded investment-focused organisation to hire an Applied AI / Automation Engineer into their London team. This is a hands-on, high-impact role focused on building an intelligent automation platform that transforms complex operational workflows into scalable, production-grade systems. The Role You’ll take ownership of designing and delivering an end-to-end AI-driven reporting and automation platform, working closely with Data Science and operational stakeholders. This is a build-from-scratch opportunity — ideal for someone who enjoys solving real-world complexity and turning manual processes into robust, automated systems. What You’ll Be Doing • Designing and building an automated reporting platform from the ground up, • Creating intelligent workflows across data ingestion, validation, and reconciliation, • Implementing AI-driven and agent-based automation to streamline operations, • Introducing exception handling and human-in-the-loop systems where needed, • Ensuring systems are accurate, auditable, and production-ready, • Partnering closely with product and operations teams to translate business problems into scalable solutions, • Evolving tooling into a maintainable internal product, not just scripts What They’re Looking For • Strong experience in Python, SQL, and automation engineering, • Proven track record building data pipelines and production systems, • Experience integrating systems via APIs and structured data feeds, • Solid understanding of CI/CD, testing, and system reliability, • Strong systems thinking and end-to-end architecture capability, • Ability to work closely with non-technical stakeholders Nice to have: • Experience in financial services / regulated environments, • Exposure to reconciliation, accounting, or control processes, • Experience with workflow orchestration tools or internal platforms, • Frontend/tooling exposure (e.g. React / TypeScript) Why Join? • Opportunity to build a greenfield AI platform with real business impact, • Work at the intersection of AI, automation, and complex financial systems, • Highly collaborative environment with strong technical ownership, • Chance to shape how AI is applied to real-world operational workflows

Data Scientist / Applied AI – Fintech Lending London / Hybrid We’re working with an exciting London-based fintech lender looking to hire a commercially minded Data Scientist / Applied AI professional to help turn a strong data foundation into real business insight, better decision-making and smarter internal processes. This is a brilliant opportunity for someone who enjoys solving real business problems with data, rather than sitting purely in a research-led environment. You’ll work closely with senior leadership, helping shape how data science and AI can support pricing, customer understanding, process improvement and internal efficiency across the business. The business has already built strong core data foundations and is now looking for someone who can take that further — identifying opportunities, building solutions and delivering practical value. The role will involve: • Using data to improve commercial decision-making, • Supporting pricing analysis and helping the business better understand customer value, • Building insight-driven solutions around customer behaviour and performance, • Identifying opportunities to improve internal processes through data and AI, • Leveraging both traditional data science techniques and newer AI tools/workflows where appropriate, • Working closely with the CTO, CEO and Head of Operations on business-critical problems, • Taking ownership of problems from idea through to solution What they’re looking for: • Around 3–5 years of commercial experience in Data Science / Applied AI / advanced analytics, • Strong Python skills, • Solid grounding in traditional data science and statistical thinking, • Experience working with modern data environments / warehouses, • Ability to work independently and operate as a genuine self-starter, • Strong communication skills and the ability to engage with senior stakeholders, • Commercial mindset — someone who enjoys solving business problems, not just technical ones, • Fintech, lending, credit, risk or broader financial services experience would be highly beneficial Ideal profile: This role would suit someone who is likely in their second or third move and has already built strong hands-on experience in a commercial environment. The ideal person will be technically strong, curious, pragmatic and excited by the chance to shape how data science and AI are used in a growing fintech business. Why this role? • Opportunity to work directly with senior leadership, • Chance to help define and build the data science capability in a scaling business, • Real ownership and visibility, • Strong blend of commercial impact, technical challenge and autonomy, • Opportunity to work on meaningful problems in a data-rich fintech environment If this sounds of interest, please apply or get in touch directly for a confidential conversation.

AI Engineer Location: London (Onsite - 5 days per week) Type: Permanent Salary: £200,000 + generous equity package Interview Process: 2-4 stages I'm hiring for two YC-backed startups building foundational AI infrastructure - one focused on advancing reasoning capabilities, the other on streamlining how teams deploy and monitor models in production. What we're looking for: • Strong academic background in Computer Science, Mathematics, or related field, • Founding engineer mindset with ownership mentality, • Series A-C scale-up experience (ideally in fast-growth environments) Role 1: AI Engineer • Expert-level Python with exposure to frontend technologies (TypeScript/React preferred), • Hands-on experience with LLMs, prompt engineering, and evaluation frameworks, • Ability to ship AI-powered features end-to-end, • Minimum 3 years of experience Role 2: Applied AI Engineer • Strong backend engineering experience (Python preferred), • Deep knowledge of CI/CD, Docker, Kubernetes, and Git workflows, • Experience building RAG pipelines and AI agent orchestration systems, • Minimum 5 years of experience 📩 Interested? Message me here or email

About the Role Broadlab is hiring a Senior Applied Data Scientist – Measurement & Insights to lead how we interpret and communicate campaign performance across our outcome-based CTV platform. This is a high-impact, senior role focused on turning complex measurement data into clear, commercially actionable insight. You’ll work at the intersection of data science, client strategy, and campaign optimisation; owning advanced analysis and elevating how we understand and explain performance. You’ll also help embed best-in-class measurement thinking across the business and leverage AI-enabled analytical workflows to accelerate insight generation. What You’ll Do Measurement & Incrementality Leadership • Lead analysis and selection of key measurement solutions, • Lead & develop advanced analyses (incrementality, lift studies, geo experiments, causal inference), • Apply methods such as Difference-in-Differences and propensity score matching, • Interpret brand uplift, conversion, and ID graph data, • Translate statistical outputs into clear, executive-ready insights, • Lead post-campaign analysis and client-facing narratives, • Develop repeatable analysis frameworks and playbooks, • Standardise insight delivery across campaigns, • Mentor and train Optimisation teams on:, • Statistical thinking, • Experimental design, • Measurement interpretation, • Build models to explain:, • Geo-level performance variation, • Audience and creative effects, • Frequency and saturation dynamics, • Use tools like ChatGPT, Claude, Copilot to accelerate analysis and insight generation, • Explore automation and AI-assisted measurement workflows What We’re Looking For Core Experience • 5–8+ years in applied data science, • Strong grounding in causal inference & experimentation, • Experience with media, campaign measurement, or advertising data, • Advanced Python & SQL, • Experience with large-scale event/log-level datasets, • Ability to translate complex analysis into business insight, • Comfortable using AI tools in modern data workflows Nice to Have • CTV / programmatic / performance marketing experience, • Incrementality testing & geo experiments, • ID graphs / enriched consumer datasets, • Cloud environments (AWS, Snowflake), • Campaign insights are deeper, more rigorous, and more commercially impactful, • Clients recognise our measurement capability as a key differentiator, • Optimisation teams become more analytically confident, • Repeatable frameworks scale across campaigns Why Join Broadlab? Our edge comes from connecting advanced measurement to real business outcomes. This role is central to that mission by ensuring our data isn’t just analysed, but understood, trusted, and acted upon.

Aurum Research Limited is looking to hire into its London based research office, based in Fitzrovia. Aurum Fund Management Ltd. is a hedge fund investment specialist investing client’s capital since 1994, focused on solely selecting hedge funds and managing fund of hedge fund portfolios. Aurum’s purpose as a business is to grow and protect not only client’s capital but also our environmental capital, our planet and our social capital and we express this through embedded impact. Aurum is a flexible and dynamic organisation, encouraging a collaborative and innovative working environment. At Aurum, we understand creating a culture of equality isn’t just the right thing to do, it’s also the smart thing. Diverse companies are more innovative and better positioned to succeed. Everyone is welcome – as an inclusive workplace, people can be themselves in an environment that both supports and includes them. Your Role: We are seeking a highly capable Applied AI / Automation Engineer to join our Data Science team, on a 12-month fixed-term contract. This role will focus on designing and building an intelligent reporting platform to support our Fund Administration team. The role reports directly to the Head of Data Science and will partner closely with a designated Product Manager within the Fund Administration team, to deliver measurable efficiency gains and scalable operational improvements. Day-to-day priorities will be operationally aligned in partnership with the Administration team, while maintaining technical ownership within Data Science. The objective is to incrementally transform reporting production and reconciliation workflows, using contemporary data engineering, AI, and agent-based technologies. This is a hands-on, high-impact engineering role focused on building robust, production-grade systems in a complex real-world financial environment. Key Responsibilities: • Own the design and delivery of an end-to-end automated reporting platform., • Design and implement intelligent workflows to automate data ingestion, validation, reconciliation, and NAV calculation — replacing manual operational processes with scalable, observable, and controlled systems., • Design exception-handling and human-in-the-loop mechanisms where full automation is not appropriate., • Ensure accuracy, auditability, and operational resilience of the NAV platform., • Partner with the Fund Administration Product Manager to translate operational complexity into structured technical solutions., • Evolve the system into a maintainable internal product rather than a collection of scripts, • Within 12 months, you will have delivered a robust, production-grade NAV automation platform that materially reduces manual reconciliation effort, improves operational transparency, and establishes a scalable foundation for future AI-driven enhancements Qualifications & Experience: • Strong automation engineering capability and ability to apply AI in real operational environments, • Strong hands-on experience in Python and SQL., • Experience designing and implementing data pipelines and automation systems., • Experience integrating multiple systems via APIs and structured data feeds., • Experience building reliable, monitored, and maintainable production systems., • Experience using version control (e.g., Git) and CI/CD pipelines., • Experience implementing testing strategies to ensure system accuracy and reliability., • Strong systems thinking and ability to architect end-to-end solutions., • Strong communication skills and ability to work cross-functionally with operations teams., • Exposure to reconciliation, accounting, or control-focused workflows, • Experience building systems in regulated or audit-sensitive contexts, • Familiarity with workflow orchestration tools, • Experience productising internal automation into scalable applications, including operational dashboards or internal tools (e.g., TypeScript, React, Next.js or similar) This is an interesting opportunity to design and build an AI-driven operational system from the ground up. With the application of AI agents and automation, the role has the potential to shape how modern AI augments and automates fund operations. Please note that all candidates must be eligible to work in the UK. We are committed to ensuring a fair and transparent recruitment process. As part of our efforts to efficiently review and analyse applications, we may use artificial intelligence (AI) tools to assist in processing the information provided in your CV. These tools are used solely to help us organise and identify relevant qualifications, experiences, and skills to match candidates with the requirements of the role. Please note that AI will not make any recruitment decisions on its own; all decisions will be made by our recruitment team, who will carefully review all applications and ensure that they are assessed fairly. If you have any concerns or questions about our use of AI in the recruitment process, please do not hesitate to contact us. The information on your CV, your application, and any other information you submit to us directly or via a recruitment company or similar online service will be used by the Aurum group for the purpose of considering you for employment and processing your application in accordance with our privacy policy at .

As a Machine Learning Engineer, you will take the lead on optimising the functionality, performance, and algorithmic engineering powering our machine learning models. This is a critical role for a hands-on expert who can deliver state of the art models, set the standard for performance, and ensure our models are accurate, robust, efficient and scalable. What you’ll do: • Lead the development and refinement of novel machine learning architectures and algorithms harnessing our nonlinear dynamics. Building deeper network architectures that maximise efficiency and performance., • Design, build and test models both on device and using in-house simulation framework., • Collaborate closely with the wider photonics and hardware team to design and evaluate general metrics to assess the computational properties of the hardware and optimise for computational performance., • Research state-of-the-art machine learning & machine vision techniques and adapt them to be compatible with our hardware., • Experience:, • Proven track record of developing novel algorithms (papers in NeurIPS, ICML, ICLR, CVPR, or Nature/Science journals), • Hardware Aware ML / Neuromorphic Computing:, • FPGAs, ASICs, analog computing chips, spiking neural network (hardware), edge AI, • Unconventional training algorithms, • Reservoir computing, self-constrastive learning, forward-forward learning, evolutionary algorithms, equilibrium propagation, • Physics informed neural networks, or applied ML to physics problems, • Deep understanding of mathematics, algebra / topology - key words are latent space, intrinsic dimensionality, • Experience working with hardware as well is a bonus

About the Team: You'll be joining the team leading Entrust's Identity portfolio, formerly known as Onfido (an AI- powered digital identity solution). Our technology helps businesses verify real identities using machine learning, ensuring secure remote customer onboarding. By assessing government- issued identity documents and facial biometrics using state-of-the-art machine learning, we provide companies with the assurance they need to operate securely while allowing people to access services quickly and safely. Our Applied Scientist team consists of about twenty machine learning scientists. The team is supported by an ML Ops team that provides state-of-the-art tooling (including AWS, Encord, Ray, PyTorch Lightning and Weights & Biases). The Applied Science team works closely with product engineering to deploy models to serve our worldwide customer base. Position Overview: We are looking for an Applied Scientist II to design and train cutting-edge machine learning solutions related to digital identities. Join our team and work on challenging problems in deepfake detection, bias mitigation, document understanding, anomaly detection and/or efficient ML. What you will be doing: • Push the frontier of research in areas such as deepfake detection, bias mitigation, fraud/anomaly detection, face matching, document understanding, and efficient on-device ML., • Publish research results in national and international conferences and scientific journals. Work with product and engineering to improve our world-class identity-focused products. Representative work: • Implement bias-mitigation strategies to build fair face-matching and deepfake-detection models., • Train and benchmark large-scale vision-language models for document extraction., • Train a multi-modal document understanding model from scratch using synthetic data., • Optimise LoRA adapter latency in PEFT/Triton., • Profile, debug and improve model training speed on multiple GPUs., • Create a large-scale dataset for deepfake detection., • Experiment with multimodal models to detect fraud. You may be a good fit if you: • Have strong experience in machine learning and computer vision., • Have a strong record of successfully delivering high-performance ML-driven products., • Have a deep understanding of machine learning theory., • Have strong coding skills in Python and PyTorch., • Care about building fair and cutting-edge machine learning products. Strong candidates may also have: • Technical experience in one or more of the following areas: face matching, bias mitigation, anomaly detection, document understanding or on-device ML., • Published at top-level machine learning conferences. Experience optimising (distributed) training code. Where you will be: This role is based in our London, UK office and follows a hybrid model, requiring in-office presence three days per week. Benefits UK • 25 days annual leave plus a day off for your Birthday., • Two paid volunteering days per year.*, • Bupa Private Medical and Dental Insurance*, • Pension with The People’s Pension (employer contribution 4% of base salary)*, • Generous paid parental leave, • Life enrichment allowance of up to £80 per month to use for services including gym, yoga, fitness classes, massages, childcare, and therapy, • Dedicated learning opportunities including using tools like Linkedin Learning with availability to use for learning resources such as books, coaches, conferences, courses, podcasts, and more, • Our open and transparent culture is reflected in our “Better Together” motto and we bring this to life by meeting once a week for our global weekly roundup (OnThursday); holding quarterly team socials, and other company-wide social events, • Expense up to £300 (or local equivalent) to purchase workstation setup equipment, • The opportunity to become a member of Entrust’s resource groups in order to learn different skills in our belonging groups Ready to Make an Impact? If youʼre excited by the prospect of working on cutting-edge machine learning for problems that matter, Entrust is the place for you. Join us in making a difference. Letʼs build a more secure world—together. Apply today! NO AGENCIES, NO RELOCATION #LI-GR1 #ENT123

Senior Computational Scientist (Single-Cell + Machine Learning) We are searching for a Senior Computational Scientist with deep, hands-on single-cell expertise to help translate cutting-edge AI models into impactful discovery and translational workflows. This role sits at the intersection of single-cell biology, machine learning, and applied computational research, with direct influence on how next-generation foundation models are evaluated and deployed. You will partner closely with research scientists, ML engineers, product teams, and external collaborators to turn advanced single-cell methods into actionable insights for real-world drug discovery and translational use cases. This is a senior IC position with the opportunity to grow into management as the team scales. What You’ll Do • Lead scientific strategy and execution for evaluating and applying foundation models to single-cell and multi-omics datasets., • Develop, adapt, and benchmark single-cell workflows, including integration, perturb-seq analysis, and advanced multi-modal pipelines., • Collaborate with research and ML teams to design experiments and rapidly iterate from prototype to insight., • Work closely with Product and Business Development to translate complex biology + ML capabilities into customer-facing deliverables., • Mentor junior scientists and contribute to shaping the culture and scientific standards of a growing computational biology team., • Bring strong scientific judgment to ensure modeling work remains grounded in translational biology and drug development needs. What We’re Looking For • PhD in Computational Biology, Bioinformatics, Machine Learning, or a related field with a strong single-cell focus, and 2+ years of industry experience; or MSc with 5+ years of relevant industry experience., • Deep, hands-on experience with single-cell technologies (integration, perturb-seq, multiome, advanced workflows)., • Strong understanding of modern ML/AI approaches for biological data, such as transformers, VAEs, diffusion models, or classical ML methods., • Proficiency with ML frameworks like PyTorch (or equivalent)., • Excellent communication skills with the ability to explain complex science to diverse technical and non-technical audiences., • Comfortable working in a fast-paced, iterative environment., • Passionate about building at the intersection of biology, machine learning, and real-world translational impact.

About the Role Broadlab is hiring a Senior Applied Data Scientist – Measurement & Insights to lead how we interpret and communicate campaign performance across our outcome-based CTV platform. This is a high-impact, senior role focused on turning complex measurement data into clear, commercially actionable insight. You’ll work at the intersection of data science, client strategy, and campaign optimisation; owning advanced analysis and elevating how we understand and explain performance. You’ll also help embed best-in-class measurement thinking across the business and leverage AI-enabled analytical workflows to accelerate insight generation. What You’ll Do Measurement & Incrementality Leadership • Lead analysis and selection of key measurement solutions, • Lead & develop advanced analyses (incrementality, lift studies, geo experiments, causal inference), • Apply methods such as Difference-in-Differences and propensity score matching, • Interpret brand uplift, conversion, and ID graph data, • Translate statistical outputs into clear, executive-ready insights, • Lead post-campaign analysis and client-facing narratives, • Develop repeatable analysis frameworks and playbooks, • Standardise insight delivery across campaigns, • Mentor and train Optimisation teams on:, • Statistical thinking, • Experimental design, • Measurement interpretation, • Build models to explain:, • Geo-level performance variation, • Audience and creative effects, • Frequency and saturation dynamics, • Use tools like ChatGPT, Claude, Copilot to accelerate analysis and insight generation, • Explore automation and AI-assisted measurement workflows What We’re Looking For Core Experience • 5–8+ years in applied data science, • Strong grounding in causal inference & experimentation, • Experience with media, campaign measurement, or advertising data, • Advanced Python & SQL, • Experience with large-scale event/log-level datasets, • Ability to translate complex analysis into business insight, • Comfortable using AI tools in modern data workflows Nice to Have • CTV / programmatic / performance marketing experience, • Incrementality testing & geo experiments, • ID graphs / enriched consumer datasets, • Cloud environments (AWS, Snowflake), • Campaign insights are deeper, more rigorous, and more commercially impactful, • Clients recognise our measurement capability as a key differentiator, • Optimisation teams become more analytically confident, • Repeatable frameworks scale across campaigns Why Join Broadlab? Our edge comes from connecting advanced measurement to real business outcomes. This role is central to that mission by ensuring our data isn’t just analysed, but understood, trusted, and acted upon.

Senior Data Scientist 🚀 Series A Tech Start-Up 🚀 💸£90k - £122k plus equity & benefits 📍London, Hybrid ✅Innovative, collaborative culture, business driven by AI ✅Inspiring leader, passionate about this disruptive proposition with strong green impact ✅Chance to own shares in a scaling organisation, drive towards exit and IPO Omnis Partners are exclusively partnered with an innovative start-up that is transforming e-commerce through AI-driven solutions. With significant funding and ambitious expansion plans, they are now hiring exceptional talent to build out their Data Science team. Founded by industry experts, this fast-scaling London-based company leverages machine learning software for e-commerce, reducing costs and enhancing efficiency. Backed by significant funding, they are rapidly expanding their infrastructure and AI-driven platform. You will operate as part of a highly collaborative, innovative team to deliver data science solutions, under the leadership and guidance of an inspiring thought leader, in your Data Science Director. We are hiring for an experienced generalist Senior Data Scientist with strong modelling capabilities, particularly forecasting and timeseries analysis, amongst a broader data science skill set built to predict demand, but optimise how a complex system runs. You will be joining a high-calibre team, with significant opportunities for career development in a hyper-growth, AI-driven business. If you thrive in high-performing teams and want to make a meaningful impact in a disruptive tech-driven company, we’d love to hear from you. Experience Required: • Educated to degree level in a relevant subject such as Computer Science, Machine Learning, Artificial Intelligence, Mathematics, Statistics, Physics, Chemistry, Engineering etc., • Strong programming skills with Python, building algorithms and models, and working with large, messy, complex data sets to model optimised process and performance., • A deep background in applied data science within a commercial context, comfortable with fast paced, rapid growth culture., • Experience of working in a client or business-facing environment, demonstrable skills in building trust and commercial discourse around leveraging ML and AI to solve real-world business problems., • A proactive mindset, intellectual curiosity, and the ability to thrive in a fast-changing environment.

Do you want to build ML and LLM products that directly impact revenue at scale? Have you taken ML models from idea to production in a fast-paced environment? Are you ready to own 0-1 AI capabilities in a high-growth SaaS business? A fast-scaling, VC-backed SaaS company is building advanced machine learning systems to detect and prevent invalid traffic and ad fraud. Operating at massive data scale, they sit at the intersection of ML, data engineering, and adversarial systems. Data science is central to their product innovation, with a strong focus on real-world impact over research. This is a Senior Applied Scientist role focused on building new AI-driven product capabilities end-to-end. You will prototype, validate, and productionise ML and LLM-based solutions that directly improve customer outcomes. Key Responsibilities • Own 0-1 ML product development from prototype to production, • Build and scale LLM systems (RAG, agents, NLP), • Translate product needs into experiments, MVPs, and production features, • Collaborate with Engineering and Product to ship solutions, • Work with large-scale cloud datasets to drive insights and models, • Apply ML techniques pragmatically for business impact Key Details • Salary: £70k–£90k + benefits, • Working model: Hybrid (2 days onsite, London or Manchester), • Tech stack: Python, SQL, LLMs, AWS/GCP (SageMaker, Bedrock, etc.), • Visa: Cannot sponsor Interested? Please apply below.

Lead Deep Learning Researcher – Hedge Fund I’m partnered with an industry-leading Hedge Fund that, after nearly 20 years of pioneering innovation and hiring some of the brightest minds in the market, is now looking to further its success through the latest advancements in deep learning. The firm has built its reputation on rigorous research and cutting-edge technology, and this hire will play a pivotal role in shaping the next generation of their quantitative research capabilities. The Opportunity This is a rare chance to take full ownership of the fund’s AI research strategy. You’ll have complete freedom to explore, design, and implement novel deep learning models to generate alpha across the fund. Working alongside world-class quants, you’ll define the long-term roadmap for deep learning at the fund - from foundational model research to production deployment. What You’ll Do • Lead the development of advanced deep learning frameworks for financial time-series forecasting and market modeling., • Research, prototype, and evaluate cutting-edge architectures (e.g., GNNs, RNNs, Transformers) for signal discovery., • Collaborate closely with data engineering and trading teams to translate research insights into scalable, production-grade models., • Set and drive the fund’s overall AI strategy, identifying emerging techniques and trends in academia and industry., • Present research internally and contribute to the firm’s broader innovation initiatives. What They're Looking For • PhD (or equivalent research experience) in Artificial Intelligence, Data Science, Computer Science, Applied Mathematics, or a related field., • A strong publication record in top-tier conferences such as NeurIPS, ICML, or ICLR., • Hands-on experience applying deep learning models to complex, ideally temporal or financial, datasets., • Expertise in Python and modern ML frameworks (TensorFlow, PyTorch, JAX, etc.)., • Prior experience in a commercial or industry setting post-PhD, ideally in a similarly data-driven domain. Why Apply • Compensation and total rewards package on par with top Big Tech firms., • Opportunity to define the deep learning direction of one of the world’s most respected hedge funds., • Hybrid model: 3–4 days a week onsite in Central London.

Senior Research Scientist £90,000–£140,000 + equity (flexible for strong candidates) Hybrid – London Overview We’re hiring a Senior Research Scientist to help define and uphold the analytical standards used to evaluate high‑stakes AI systems. This role sits at the intersection of fairness evaluation, rigorous statistical analysis, and applied understanding of hiring and selection processes. You’ll work closely with senior technical leadership, founders, and product teams across hands‑on analysis, methodological design, and longer‑term strategic thinking. As an early senior research hire, you’ll have significant influence over both our analytical approach and how the function evolves as we scale. What you’ll do • Define and maintain robust evaluation methodologies, including statistical tests, fairness metrics, sampling strategies, and validation frameworks., • Translate regulatory guidance and emerging standards into clear, defensible audit methodologies., • Design datasets, test frameworks, and workflows that enable consistent, high‑quality AI evaluations., • Establish principles for interpreting results, managing uncertainty, and setting evidence thresholds., • Support high‑stakes customer and stakeholder discussions with strong technical judgement., • Contribute to external-facing materials, including documentation, blogs, and industry reports, to build credibility and trust. What you should bring • 4+ years’ experience in a senior research, data science, or applied science role., • Expertise in at least one of the following:, • Responsible AI evaluation in production with strong probabilistic reasoning., • Evaluation data engineering, including synthetic or curated dataset design under privacy and PII constraints., • Nice to have: HR analytics or I‑O psychology experience (e.g. adverse impact, selection validity, defensible evaluation)., • Strong Python skills for statistical analysis and reproducible research workflows., • Comfort operating in ambiguous, high‑judgement problem spaces., • Clear, responsible communication of complex ideas to mixed technical and non‑technical audiences., • A collaborative, high‑agency mindset and motivation to work on problems with real‑world impact. What’s on offer • 33 days’ holiday (including bank holidays), • Hybrid working (typically 3 days/week in a London office), • Annual learning and development budget, • A senior, high‑impact role shaping how AI assurance is done as the field matures Apply below!

Senior Analyst, Marketing & Data Science The Senior Analyst, Marketing & Data Science is tasked with developing, and delivering advanced ML/AI-based products and analytic solutions. This role will be a critical driver both of technical and effective delivery of advanced analytic solutions. Specifically in the areas of connected measurement, outcomes/KPI forecasting, experimental designs at the strategic segments and geo levels, and optimization across all brand & performance media investments. We seek an marketing/data science practitioner who has applied their technical expertise to innovative data engineering and ML/AI modeling problems. The ideal candidate blends technical-domain expertise with hands-on modeling and data engineering experience in leveraging structured & unstructured data and category experience across various CPG categories and product lines. Role Objectives: • Solution Development:, • As a Marketing & Data Scientist, you will apply your technical skills and expertise in designing and developing ML/AI-based data products and analytic solutions that will be essential blocks of the Publicis CoreAI workflows and directly application to support the delivery and execution of the Measurement and Optimization roadmap - functioning independently or interfacing with other data scientists and data engineers from partner Publicis teams in-house, • Partnering with peers in related technical areas (such as technology and product engineering), bring your technical domain expertise to audit/assess our current data science capabilities and offerings to support media & marketing planning and operations functions., • Operate in a constant ‘growth hacking’ mode that seeks to enhance our current suite of AI-based analytic data products., • Assist in the development of Proof-of-Concepts to evaluate new tools., • Subject Matter Technical Expertise:, • Work effectively with partner product stakeholders to communicate and translate product and output requirements into AI/ML solution architecture, tools, tasks & code that will improve the Publicis CoreAI offering., • Hands-on expertise & in-depth knowledge of multiple programming languages, associated frameworks, and the tool ecosystem to create elegant ML/AI/GenAI applications to solve business-oriented problems. Able to adopt new languages and paradigms, applying them to the problem domain where they deliver significant benefit., • Produce high-quality code that leads to rapid delivery and compelling utility., • Ability to model in multiple data domains & platforms. Appling understanding of elastic scale and build highly available and scalable analytic systems., • Collaborate with cross-functional teams including product strategists, data & technology engineers, and business analysts as you develop and deliver innovative AI/ML features and services that will lead to successful workflow implementations., • Ensure projects adhere to quality standards, timelines, and budgets., • Domain Thought-Leadership & Industry Innovation:, • Stay abreast of trends, technologies, and best practices in the data science field., • Support internal knowledge-sharing and training programs to elevate the team’s expertise., • Contribute to the company’s growth by editing case studies and contributing to white papers that highlight success stories and innovative analytic approaches., • Help raise the bar for the organization in your technical area. Qualifications: • 2-5 years of experience in data science and advanced analytics., • Has developed AI/ML analytic solutions in a fast-moving, innovation-focused organisation in categories such as e-commerce/retail, entertainment/media/travel, advertising platforms/services (e.g., Google, Amazon)., • Demonstrable history of hands-on coding that showcases your prowess., • Mastery of multiple programming languages and development tools. Experience of building products used by other developers., • Exceptional problem-solving skills and a proactive approach to overcoming challenges., • Preferred Skills:, • Strong communication and presentation skills., • Experience with agile and other progressive development methodologies., • Exceptional problem-solving skills and a proactive approach to overcoming challenges., • Education:, • Advanced degrees (M.Sc./PhD) in Computer Science, Engineering, Math, or a related field are preferred., • Certifications in analytics or data science (e.g., AWS Certified Data Analytics, Certified Analytics Professional) preferred.

Research Scientist – Machine Learning for Wearables (Maternal & Digital Health) Location: London Bridge (Hybrid, minimum 3–4 days on site, with regular presence in South East London) Contract: 3-year academic contract with renewal BioTalent has partnered with a leading academic research programme to appoint a Research Scientist focused on machine learning, wearable data, and digital health. This is a genuinely research-led role, not a product or engineering position. You’ll be working at the intersection of healthcare, AI, and real-world data, applying deep learning to large-scale, longitudinal datasets to better understand health trajectories and enable personalised interventions. The Opportunity You’ll be part of a global research initiative analysing multimodal data from wearable devices and digital biomarkers, with a focus on maternal and early childhood health. The work centres on continuous physiological monitoring, including heart rate, heart rate variability, sleep, activity, and behavioural signals, alongside emerging modalities such as voice biomarkers. This is a rare chance to apply machine learning in a setting where the output directly informs clinical understanding and real-world interventions, rather than just model optimisation. What You’ll Be Doing • Develop predictive machine learning models using multimodal wearable data, • Work with continuous physiological signals including heart rate, sleep, activity, and energy expenditure, • Apply deep learning and signal processing techniques to identify patterns and anomalies in longitudinal health data, • Integrate wearable data with clinical and behavioural markers such as blood pressure, glucose, and gestational metrics, • Explore emerging approaches such as voice biomarkers to detect physical and mental health signals, • Validate models for robustness, generalisability, and ethical use across diverse populations, • Build and maintain reproducible pipelines for data processing and feature engineering, • Collaborate with clinicians, statisticians, and researchers to ensure outputs are clinically meaningful, • Contribute to publications, conference presentations, and wider research outputs What They’re Looking For • PhD in Bioinformatics, Computer Science, Data Science, or a closely related field, • Strong experience in machine learning or deep learning applied to healthcare or biological data, • Hands-on experience working with wearable or time-series physiological data, • Solid programming skills, typically Python, • Experience with signal processing, feature extraction, or anomaly detection, • Track record of academic research, including publications or conference contributions, • Ability to translate complex modelling outputs into clear, usable insights Nice to have: • Experience with digital health, remote monitoring, or real-world data, • Familiarity with maternal health or clinical biomarkers, • Exposure to multimodal data integration, • Experience contributing to grant applications or funded research Why This Role • Work on one of the most ambitious digital health research programmes globally, • Apply machine learning to real-world clinical problems, not abstract datasets, • Access to large-scale, longitudinal wearable datasets, • Strong academic environment with opportunities for publication and conference exposure, • Long-term stability within a funded programme, despite academic contract structure

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

AI Product Lead / Manchester or London / £110,000 + Bonus We’re partnered with a high‑growth, PE‑backed organisation at the forefront of applied AI, who are looking to appoint an AI Product Lead to drive the vision, strategy and delivery of their flagship AI platform. This is a senior, high‑impact role where you will take ownership of shaping how AI is used to solve complex, real‑world problems for major enterprise clients across regulated and data‑heavy industries. Working closely with the Chief Product Officer, you’ll play a pivotal role in defining product direction, bringing structure to discovery and delivery, and converting AI capability into production‑ready, revenue‑generating products. The business is scaling rapidly, with a strong customer pipeline and significant investment. This role suits someone who thrives in fast‑paced startup/scale‑up environments and enjoys full ownership, from defining the problem, to prototyping, through to shipping features into production. If you’re motivated by building AI products that have tangible commercial and user impact, this is the opportunity to take something with huge potential and lead it into its next phase of growth. What do we need from you? • Proven experience delivering AI‑led or ML‑driven products into production (not just discovery or concept)., • Examples of taking product features from customer need → prototype → shipped product in real customer environments., • Experience working in startup or scale‑up businesses (Seed → Series A–D ideal), where speed, adaptability and hands‑on ownership are essential., • Ability to define and own a product vision, build roadmaps, prioritise effectively and bring structure to delivery., • Background operating as a Product Lead / Senior Product Manager, influencing strategy while still being close enough to delivery to drive outcomes., • Strong problem‑solving skills with a track record of turning complex challenges into clear, deliverable product solutions., • Comfortable collaborating with data scientists, engineers and commercial teams to translate AI capability into genuine customer value. The Role As AI Product Lead, you will own the strategy, roadmap and delivery of a next‑generation AI product used to automate, interpret and solve complex information‑rich workflows for enterprise clients. You’ll work closely with the CPO and founding team to establish a disciplined product function while maintaining the creative, fast‑moving pace of a scale‑up. This is a hands‑on strategic role: you’ll shape the vision, validate customer problems, develop prototypes, and lead the delivery of features into production environments. Key Focus Areas Product Ownership & Vision • Define and deliver the AI product roadmap aligned to commercial strategy, • Establish product discipline, structure and processes within a scaling organisation, • Translate customer and market needs into clear product requirements AI‑Led Product Development • Lead the creation and delivery of AI features, ensuring models, workflows and outputs reach production, • Partner with engineering and data science teams to convert capability into usable customer experiences, • Ensure product decisions are driven by insight, experimentation and measurable outcomes Hands‑On Delivery & Execution • Work closely with the CPO to drive feature delivery from concept to launch, • Own prototyping, hypothesis testing and iterative development, • Take responsibility for shipping features, not just defining them Customer & Market Impact • Engage directly with enterprise customers to validate use cases and gather feedback, • Prioritise features based on customer value, revenue impact and AI feasibility, • Support go‑to‑market planning and readiness Working Environment Location: Manchester or London Hybrid: Roughly 1 day per month on site What’s on Offer? • Up to £110,000 salary, • Opportunity to take ownership of a high‑growth AI product in a PE‑backed scale-up, • Build and lead the next evolution of the product function, • Work directly with a highly credible CPO and founding team, • Shape and ship AI products used by major enterprise clients, • Ability to make a visible impact in a business scaling rapidly Why Join? This is a rare chance to take charge of an AI product with huge market potential and move it from founder‑led to product‑led. You’ll own the future direction of the product, work with cutting‑edge AI capabilities, and play a critical role in driving commercial value. If you thrive in environments where you can combine strategic ownership with hands‑on delivery, this role gives you the platform to build something with real impact. If you're interested in learning more, please apply or send your CV over to Dominic Brown – with a time to discuss the opportunity in more detail.

Location: London or NYC We're working on behalf of a leading global research firm that is building a new product focused on deep technology, AI, and long-term structural change. The product will be used by asset managers, hedge funds and other institutional investment firm to help them better shape their investment thesis. This role is centred on developing clear, differentiated thinking on complex technological shifts, and communicating that thinking to a sophisticated institutional audience. The remit spans themes such as AI and automation, the energy transition, next-generation infrastructure, biotech innovation, space infrastructure, quantum science, and next-generation computing. The role The successful candidate will: • Produce high-quality, original research on major technological and scientific developments, with a focus on long-term structural impact, • Develop clear frameworks and narratives that explain how these technologies evolve, where value accrues, and what matters versus what is noise, • Write compelling, intellectually rigorous analysis for a sophisticated global audience, • Link ideas to capital markets investments. This product will cover a broad set of interconnected themes, including: • Artificial intelligence and automation, • Energy systems and the energy transition, • Infrastructure and industrial transformation, • Biotech and life sciences, • Space and advanced technologies, • Quantum science and next-generation computing, • Engage with internal stakeholders to ensure research is relevant and can be applied to broader economic and market discussions This is a thinking and writing-led role, with a strong emphasis on depth of understanding, originality, and clarity of communication. It is not an engineering, data science, or purely academic position. Background Strong candidates are likely to demonstrate: • Deep, first-principles understanding of AI and/or other frontier technologies, with the ability to engage meaningfully with technical concepts, • A track record of producing differentiated, high-quality written analysis on complex topics, • The ability to separate signal from noise across fast-moving and often over-hyped areas, • Experience covering or analysing multiple areas such as AI, software, energy, biotech, infrastructure, or advanced computing, • Intellectual curiosity and the ability to connect ideas across disciplines Backgrounds may include technology research, independent analysis, financial service research roles, or other high-quality journalism or long-form writing roles focused on complex technological or economic themes.

Principal Data Scientist – AI & Machine Learning Location: London (Hybrid: 3 days in office) Salary: £100,000 – £125,000 + 10% discretionary bonus + equity scheme We’re partnering with a highly respected, data driven organisation in the alternative assets space undergoing a major AI led transformation, including the launch of new generative AI products and intelligent data platforms. They are hiring a Principal Data Scientist to play a key role in shaping and delivering next-generation machine learning solutions across the business. This is a hands on, high impact individual contributor role with significant scope to influence technical direction, mentor others, and own end to end delivery of data science solutions. The Opportunity You’ll work at the forefront of applied AI, building intelligent systems that directly enhance customer experience and business performance. The team is actively launching new AI initiatives, including generative AI and intelligent document understanding tools. This role is ideal for someone who thrives in ambiguity and can take ideas from concept through to production. You will act as a solution owner, taking loosely defined problems and translating them into production ready machine learning systems. What You’ll Be Doing • Design, build, and deploy machine learning models (prediction, classification), • Own delivery of data science solutions from problem definition to production, • Lead experimentation and A/B testing to drive continuous improvement, • Collaborate cross functionally with product, engineering, and commercial teams, • Mentor and elevate a high-performing team of data scientists and ML engineers, • Contribute to AI strategy, including developments in generative AI Experience • 6–12 years’ experience in data science, currently operating at Principal level, • Strong grounding in machine learning fundamentals (supervised learning essential), • Proven experience delivering production-grade ML solutions, • Strong Python and SQL skills, • Experience with experimentation and data-driven decision making, • Ability to operate as a hands-on technical leader (not pure management), • Advanced degree (Master’s or PhD) in a quantitative field, • Experience working with financial or private markets data, • Exposure to alternative investments or private equity datasets, • Knowledge of causal inference, probabilistic modelling, or knowledge graphs Why Apply • High-impact role with ownership and autonomy, • Work on AI initiatives in a growing team, • Strong engineering and data culture with a focus on excellence, • Clear progression and opportunity to shape future capabilities Please note - sponsorship is not available for this position.

Company Description\n\nGenomics England is a global leader in enabling genomic medicine and research, focused on creating a world where everyone benefits from genomic healthcare. Building on the 100,000 Genomes Project, we support the NHS’s world-first national whole genome sequencing service and run the growing National Genomic Research Library, alongside delivering numerous major genomics initiatives. By connecting research and clinical care at national scale, we enable immediate healthcare benefits and advances for the future.\n\nOur mission is to provide the evidence and digital systems so that by 2035 genomics could play a role in up to half of all healthcare interactions, whilst securing the UK’s position as the best place to discover, prove and benefit from genomic innovations.\n\nWe are accelerating our impact and working with patients, doctors, scientists, government and industry to improve genomic testing, and help researchers access the health data and technology they need to make new medical discoveries and create more effective, targeted medicines for everybody.\n\nBehind the Healthcare and Research outcomes, Genomics England delivers through designing, developing and operating complex healthcare software systems.\n\nWe're on the cusp of big changes with the real prospect of genomics becoming the fabric of everyday healthcare through the lifetime – from birth to old age.\n\nJob Description\n\nWe are seeking a passionate and innovative Genomic Data Scientist to join our cutting-edge team. \n\nYou will work in an agile collaborative environment as part of multidisciplinary team, building state-of-the-art analytics into clinically fit production quality solutions plus implement robust, scalable analysis fit for clinics. \n\nEveryday responsibilities include: \n\nResearching the scientific literature, identifying new approaches to genome analysis, as well as contributing to the publication and dissemination of our learnings in the form of scientific papers, white papers and conferences. \nDeveloping and fine-tuning algorithms for variant prioritisation and classification for rare disease diagnostic and screening.\nBenchmarking and improving tools for processing and analysis of whole genome data (e.g. alignment, variant callers, quality control), and performing custom computational analyses. We anticipate the ideal candidate will have experience in: \n\nOne or more areas of human germline DNA analysis, such as rare disease genomics, population genetics, family-based analysis, genetic association testing, risk score prediction, structural variation, pharmacogenomics, typing of complex genomic regions such as HLA/KIR. \nStrong programming skills (Python essential, R desirable). \nKnowledge of statistics and/or statistical genetics and/or machine learning. \nExperience of high throughput sequencing algorithms. \nManaging the full cycle of analysing high-throughput sequencing data from sequencing quality control to annotation and prioritisation of variants, preferably human whole genome sequencing data. \n\nQualifications\n\nA PhD involving one of the following: Rare Diseases, Computational Biology, Systems Biology, Statistical Genetics or equivalent work experience, \n\nIdeally, undergraduate studies with a strong quantitative discipline component (such as physics, computer science, or maths). \n\nThese skills could also have been developed, for example, through a PhD in computational biology, statistical genomics, or statistical genetics. \n\nAdditional Information\n\nSalary from £55,000\n\nPlease provide a cover letter highlighting how your skills and experience align with the role.\n\nClosing date for applications - Wednesday 29th April \n\nBeing an integral part of such a meaningful mission is extremely rewarding in itself, but in order to support our people, we’re continually improving our benefits package. We pride ourselves on investing in our people and supporting them to achieve their career goals, as well as offering a benefits package including: \n\nGenerous Leave: 30 days’ holiday plus bank holidays, additional leave for long service, and the option to apply for up to 30 days of remote working abroad annually (approval required).\nFamily-Friendly: Blended working arrangements, flexible working, enhanced maternity, paternity and shared parental leave benefits.\nPension & Financial: Defined contribution pension (Genomics England double-matches up to 10%, however you can contribute more if you wish), Life Assurance (3x salary), and a Give As You Earn scheme.\nLearning & Development: Individual learning budgets, support for training and certifications, and reimbursement for one annual professional subscription (approval required).\nRecognition & Rewards: Employee recognition programme and referral scheme.\nHealth & Wellbeing: Subsidised gym membership, a free Headspace account, and access to an Employee Assistance Programme, eye tests, flu jabs.Equal opportunities and our commitment to a diverse and inclusive workplace \n\nGenomics England is actively committed to providing and supporting an inclusive environment that promotes equity, diversity and inclusion best practice both within our community and in any other area where we have influence. We are proud of our diverse community where everyone can come to work and feel welcomed and treated with respect regardless of any disability, ethnicity, gender, gender identity, religion, sexual orientation, or social background. \n\nGenomics England’s policies of non-discrimination and equity and will be applied fairly to all people, regardless of age, disability, gender identity or reassignment, marital or civil partnership status, being pregnant or recently becoming a parent, race, religion or beliefs, sex or sexual orientation, length of service, whether full or part-time or employed under a permanent or a fixed-term contract or any other relevant factor. \n\nGenomics England does not tolerate any form of discrimination, harassment, victimisation or bullying at work. Such behaviour undermines our mission and core values and diminishes the dignity, respect and integrity of all parties. Our People policies outline our commitment to inclusivity. \n\nWe aim to remove barriers in our recruitment processes and to be flexible with our interview processes. Should you require any adjustments that may help you to fully participate in the recruitment process, we encourage you to discuss this with us. \n\nCulture\n\nWe have four key behaviours that represent what we would like Genomics England to feel like and the culture we want to encourage, in order for us to achieve our mission. These behaviours help us all work well together, deliver on our outcomes, celebrate our successes and share feedback with each other. You can read about these and other aspects of our culture here

Primary Skills: Human Research Protocols (Advanced), Data Collection (Intermediate), Data Integrity (Advanced), Subject Management (Advanced), Usability Observation (Advanced) Duration: 12+ Months Contract (High possibility of extension) Location: London, United Kingdom () #LP Job Summary: We are looking for a dynamic Human Performance Research Associate to be the operational engine behind our data collection. You will manage groups of participants through a variety of rigorous exercise protocols ensuring every sensor, wearable, and gold-standard lab device captures high-fidelity data. Key Responsibilities: • Protocol Leadership: Lead human research protocols in group settings, managing multiple participants simultaneously across various exercise modalities while ensuring safety and adherence to SOPs., • Technical Data Collection & QA: Execute high-fidelity data capture using gold-standard equipment alongside Client wearable ecosystem (Pixel Watch, Fitbit Devices)., • Data Integrity & Troubleshooting: Perform QA on collected data to ensure it meets research standards. You must be a fast learner capable of troubleshooting proprietary hardware, firmware, and experimental rigs on the fly., • Subject & Study Coordination: Manage the end-to-end participant experience - from recruitment and scheduling to Informed Consent and risk mitigation., • Compliance: Maintain rigorous documentation, adhering to best clinical practice, Data Retention policies, and Research Ethics Committee requirements., • You will be at the forefront of health and wearable technology, working in a fast-paced environment where your work directly impacts the development of future Client products. This is not a "desk job"—it is a hands-on role for a "doer" who loves the intersection of human performance and technology.Must-Have Skills:, • Degree in Physiology, Sports Science, Biomedicine, or a related field., • Proven experience in an applied setting such as coaching, personal training, sports club leadership, or military instruction. Experience in a clinical or research lab is a significant plus., • Familiarity with the wearable ecosystem (smartwatches, rings, trackers) and human performance hardware (VO2 Max carts, ECG, Force Plate, etc.)., • Highly organized with a knack for administrative tracking and scheduling. Industry Leaders in IT Staffing As staffing solutions providers for Fortune 100 companies, Akraya's industry recognitions solidify our leadership position in the IT staffing space. We don't just connect you with great jobs, we connect you with a workplace that inspires! Join Akraya Today! Let us lead you to your dream career and experience the Akraya difference. Browse our open positions and join our team!

Lead Data Scientist (Agentic AI) | Tech Start-Up | Up to £120,000 + Shares | London / Hybrid (2 Days Office) We’re partnering with a fast-growing AI tech scale-up expanding its team, who are hiring for a Lead Data Scientist. This is a rare opportunity to lead the delivery of enterprise-grade Agentic AI solutions — working with ambitious clients at the forefront of applied AI innovation. The Company This pioneering organisation has built an advanced enterprise AI platform delivering predictive analytics and AI-powered decision intelligence. Their digital AI agents provide always-on, intelligent insights — supporting leading clients across financial services, retail, FMCG, pharma, and beyond to enhance performance and efficiency. The Role As Lead Data Scientist, you’ll lead the delivery of Agentic AI solutions post-sale, owning client projects from design through to deployment. This is a hands-on role combining strong technical depth with delivery leadership and stakeholder management. You’ll implement AI and agentic systems across enterprise clients, designing scalable architectures using LLMs, RAG pipelines, and agentic workflows, while working closely with engineering and product teams to ensure successful outcomes. The Candidate Key attributes of the suitable Lead Data Scientist include: • Technical Data Science Expertise – Strong background delivering production-grade solutions, ideally within consulting or product-led environments, • Agentic AI & Modern AI Systems Experience – Hands-on exposure to LLMs, RAG pipelines, and agentic frameworks, • Delivery Leadership & Client Ownership – Comfortable leading teams while remaining technically involved and managing client relationships post-sale

New Role - Applied Data Scientist (Specialty Insurance) This role will apply advanced analytics and modelling to improve risk selection, pricing decisions, and claims insight across speciality insurance lines including Renewables, D&O, Credit and Marine. The role will sit at the intersection of underwriting judgement, actuarial thinking, claims insight, and modern data science and will involve a secondment into the Innovation team, helping shape a cross-line analytics capability that strengthens decision-making across the underwriting lifecycle. The Candidate - • Between 2-5 years' experience in an insurance pricing team, • Strong applied data science capability - using Python/R to apply statistical modelling and machine learning techniques, • Understanding of statistical and analytical foundations - probability theory, GLMs, time series analysis, • Comprehension of modern machine learning techniques and modelling approaches - random forest, XGBoost, GBMs, • Solid SQL, data handling and data visualisation skills Salary - £60,000 - £100,000 Location - London (Hybrid) If you're a data scientist with insurance experience then please get in touch via email -

B2B Applied Analyst – Marketing Analytics & Channel Insights - (Ref: 196301) Location: London, UK Contract: 12 months Start date: May 2026 Day rate: Competitive IR 35 Status: Inside Schedule: Hybrid Contact: About the Role Join a leading Growth Marketing & Insights team as a B2B Applied Analyst, where you’ll play a key role in driving data-informed marketing decisions. This role sits within the B2B Applied Analytics team, supporting marketing stakeholders with actionable insights on performance, channel effectiveness, and audience engagement. You’ll combine analytical expertise, hands-on data tools, and strong communication skills to help optimise marketing strategies and contribute directly to pipeline growth. Key Responsibilities • Analyse performance across B2B marketing channels (paid media, email, ABM, events, web), identifying key drivers of engagement and conversion, • Support full-funnel analysis, including pipeline contribution, MQL/MQA performance, and conversion rates, • Develop and maintain measurement frameworks for campaigns, channels, and audiences, • Deliver actionable insights to inform budget allocation, planning, and optimisation strategies, • Build and manage dashboards and reports (primarily in Power BI), • Partner with Marketing Operations and Campaign teams on planning, execution, and post-campaign analysis, • Contribute to attribution modelling and incrementality analysis to assess true marketing impact, • Provide ad-hoc analysis to support in-flight campaign optimisation and stakeholder queries, • Improve data quality and consistency across marketing systems, • Drive automation and scalability in reporting and insight delivery, • Communicate insights through clear storytelling and data visualisation tailored to different audiences Requirements • 8+ years’ experience in B2B marketing analytics or performance measurement, • Strong understanding of demand generation, paid media, and ABM measurement, • Proven experience with Power BI for reporting and dashboarding, • Familiarity with platforms such as Adobe Analytics, Adobe Experience Platform, Salesforce, or Microsoft Dynamics, • Strong SQL and Excel skills (Python or R is a plus), • Ability to translate complex data into clear, actionable insights, • Excellent stakeholder communication and collaboration skills Nice to Have • Degree (or equivalent experience) in Marketing, Analytics, Statistics, Finance, Computer Science, or related field, • Experience with attribution models, experimentation, or incrementality testing, • Interest in automation, AI-driven analytics, and emerging marketing technologies

Job Title: B2B Applied Analyst – Marketing Analytics & Channel Insights Location: Shoreditch (Hybrid) Duration: 12 months contract initially Max. Budget: £96k per annum + paid holidays + pension or £501.2 per day Inside IR35 The Opportunity: • The Growth Marketing & Insights (GMI) organization provides objective marketing analysis and performance measurement to support client’s business objectives. Within GMI, the B2B Applied Analytics team helps B2B Marketing teams make better decisions by delivering clear, practical insights into marketing performance, channel effectiveness, and audience engagement., • We are looking for a B2B Applied Analyst to support the measurement and analysis of B2B marketing performance across channels and programs. This role focuses on understanding what’s working, where to optimise, and how marketing activity contributes to pipeline and growth. It blends strong analytical skills with hands‑on tooling, collaboration, and clear communication. What you will do: • Analyse marketing performance across channels such as paid media, email, ABM, events, and web, identifying drivers of engagement, conversion, and lead quality., • Support full‑funnel analysis, including pipeline contribution, conversion rates, and MQL/MQA performance across demand generation and ABM programs., • Develop and maintain measurement frameworks for campaigns, channels, and audiences to ensure consistent and meaningful performance tracking., • Produce channel‑ and program‑level insights to support budget decisions, planning, and optimisation discussions., • Build and maintain dashboards and reports (primarily in Power BI) that enable marketers to understand performance and make informed decisions., • Partner with Marketing Operations and Campaign teams to support planning, execution, and post‑campaign reviews., • Contribute to attribution and incrementality analysis to better understand true marketing impact., • Provide ad‑hoc analysis to support in‑flight optimisation and stakeholder questions., • Support efforts to improve data quality and consistency across marketing systems (e.g. campaign structure, tracking, attribution inputs)., • Help automate and scale reporting and insight delivery over time, reducing manual effort and improving speed., • Drive cross-functional collaboration within Marketing to ensure insights are adopted and influence decision-making., • Deliver insights through clear storytelling and visualization, tailored to executive, operational, and marketing audiences. What you need to succeed: • 8+ years’ experience in B2B marketing analytics, campaign measurement, or marketing performance analysis., • A solid understanding of B2B demand generation, paid media, and ABM measurement., • Experience working with Power BI for analysis and dashboarding., • Familiarity with key marketing and sales platforms such as Adobe Analytics, Adobe Experience Platform, Salesforce (SFDC), and/or Dynamics., • Comfortable working with SQL and Excel; experience with Python or R is a plus., • Ability to translate data into clear insights and practical recommendations., • Strong communication skills and confidence working with marketing stakeholders. Nice to Have: • Degree or equivalent experience in Marketing, Analytics, Statistics, Finance, Computer Science, or a related field., • Exposure to attribution models, incrementality testing, or experimentation., • Interest in workflow automation, agentic AI, and emerging analytics capabilities.

Position Overview Squarepoint is looking for a Regional Team Lead in its main office locations to support a global community of approximately 2000 users in a Windows environment consisting of both physical and virtual desktops. Candidate will interact onsite and remotely with users to provide support with workstation applications such as Microsoft Office, Access Management via Windows Active Directory/Group Policy, remote access assistance and hardware issues whilst leading a team of technical engineers. • Ensure that incidents and service requests are resolved as per SLA;, • Lead the deployment of technical desktop technologies in both local and global projects;, • Prepare and perform appraisal reviews for team members, including salary communications;, • Lead regional team to provide top-tier customer service to the user base, ensuring that global standards are applied across regardless of region;, • Manage team absences, including holiday and sick days. Must be able to manage conflict, performance management and absences that are exceeding acceptable levels;, • Ensure that all working practices are adhered to and where required all supporting documentation is fit for purpose;, • Oversee the regional office-expansions/fit-outs, liaising with the project and other Technology teams as well as supporting internal TSD staff to deliver the final estate;, • Coordinate delivery, installation, moves and changes of end user’s computer equipment and peripherals;, • Provide consultation and engagement on complex incidents and projects;, • Establish a strong and collaborative relationship with business streams at Squarepoint;, • Co-ordinate the operational acceptance of new services and technologies to the business; Required Qualifications: • Detailed knowledge and experience in a Microsoft environment supporting Windows 10/11, Windows Server 2012+, Office Suite including Office 365, and Azure, including SharePoint;, • Detailed knowledge and experience with Active Directory, Group Policy, remote access solutions including Horizon View, VMware vSphere, software packaging and deployment;, • Detailed knowledge and experience installing, troubleshooting, and managing desktop hardware;, • Ability to handle multiple tasks with changing priorities and capable to handle frequent interruptions positively;, • Strong analytical, prioritizing, interpersonal, problem-solving skills;, • Strong verbal and written communication skills;, • Demonstrated collaborative skills and ability to work well within a team;, • Ability to work in a fast-paced and deadline-oriented environment;, • Self-motivated with critical attention to detail and deadlines;, • Demonstrated interest in learning about new and emerging technologies;, • Self-directed learner and ability to find solutions to problems they have not encountered before;, • Degree in Computer Science, Engineering or related field or experience;, • Minimum 3 years’ experience in supervision or management of technical support teams Nice to have: • PowerShell and Python;, • Network;, • Linux environment;, • Atlassian administration

Research Scientist – Machine Learning for Wearables (Maternal & Digital Health) Location: London Bridge (Hybrid, minimum 3–4 days on site, with regular presence in South East London) Contract: 3-year academic contract with renewal BioTalent has partnered with a leading academic research programme to appoint a Research Scientist focused on machine learning, wearable data, and digital health. This is a genuinely research-led role, not a product or engineering position. You’ll be working at the intersection of healthcare, AI, and real-world data, applying deep learning to large-scale, longitudinal datasets to better understand health trajectories and enable personalised interventions. The Opportunity You’ll be part of a global research initiative analysing multimodal data from wearable devices and digital biomarkers, with a focus on maternal and early childhood health. The work centres on continuous physiological monitoring, including heart rate, heart rate variability, sleep, activity, and behavioural signals, alongside emerging modalities such as voice biomarkers. This is a rare chance to apply machine learning in a setting where the output directly informs clinical understanding and real-world interventions, rather than just model optimisation. What You’ll Be Doing • Develop predictive machine learning models using multimodal wearable data, • Work with continuous physiological signals including heart rate, sleep, activity, and energy expenditure, • Apply deep learning and signal processing techniques to identify patterns and anomalies in longitudinal health data, • Integrate wearable data with clinical and behavioural markers such as blood pressure, glucose, and gestational metrics, • Explore emerging approaches such as voice biomarkers to detect physical and mental health signals, • Validate models for robustness, generalisability, and ethical use across diverse populations, • Build and maintain reproducible pipelines for data processing and feature engineering, • Collaborate with clinicians, statisticians, and researchers to ensure outputs are clinically meaningful, • Contribute to publications, conference presentations, and wider research outputs What They’re Looking For • PhD in Bioinformatics, Computer Science, Data Science, or a closely related field, • Strong experience in machine learning or deep learning applied to healthcare or biological data, • Hands-on experience working with wearable or time-series physiological data, • Solid programming skills, typically Python, • Experience with signal processing, feature extraction, or anomaly detection, • Track record of academic research, including publications or conference contributions, • Ability to translate complex modelling outputs into clear, usable insights Nice to have: • Experience with digital health, remote monitoring, or real-world data, • Familiarity with maternal health or clinical biomarkers, • Exposure to multimodal data integration, • Experience contributing to grant applications or funded research Why This Role • Work on one of the most ambitious digital health research programmes globally, • Apply machine learning to real-world clinical problems, not abstract datasets, • Access to large-scale, longitudinal wearable datasets, • Strong academic environment with opportunities for publication and conference exposure, • Long-term stability within a funded programme, despite academic contract structure

Location: London or NYC We're working on behalf of a leading global research firm that is building a new product focused on deep technology, AI, and long-term structural change. The product will be used by asset managers, hedge funds and other institutional investment firm to help them better shape their investment thesis. This role is centred on developing clear, differentiated thinking on complex technological shifts, and communicating that thinking to a sophisticated institutional audience. The remit spans themes such as AI and automation, the energy transition, next-generation infrastructure, biotech innovation, space infrastructure, quantum science, and next-generation computing. The role The successful candidate will: • Produce high-quality, original research on major technological and scientific developments, with a focus on long-term structural impact, • Develop clear frameworks and narratives that explain how these technologies evolve, where value accrues, and what matters versus what is noise, • Write compelling, intellectually rigorous analysis for a sophisticated global audience, • Link ideas to capital markets investments. This product will cover a broad set of interconnected themes, including: • Artificial intelligence and automation, • Energy systems and the energy transition, • Infrastructure and industrial transformation, • Biotech and life sciences, • Space and advanced technologies, • Quantum science and next-generation computing, • Engage with internal stakeholders to ensure research is relevant and can be applied to broader economic and market discussions This is a thinking and writing-led role, with a strong emphasis on depth of understanding, originality, and clarity of communication. It is not an engineering, data science, or purely academic position. Background Strong candidates are likely to demonstrate: • Deep, first-principles understanding of AI and/or other frontier technologies, with the ability to engage meaningfully with technical concepts, • A track record of producing differentiated, high-quality written analysis on complex topics, • The ability to separate signal from noise across fast-moving and often over-hyped areas, • Experience covering or analysing multiple areas such as AI, software, energy, biotech, infrastructure, or advanced computing, • Intellectual curiosity and the ability to connect ideas across disciplines Backgrounds may include technology research, independent analysis, financial service research roles, or other high-quality journalism or long-form writing roles focused on complex technological or economic themes.

Staff Applied Scientist (NLP / Machine Learning) London (Hybrid – 2 days onsite) An innovative AI-first technology company is looking for a Staff Applied Scientist to take a technical leadership role in building advanced machine learning and NLP solutions. The company develops cutting-edge platforms that leverage large language models and machine learning to answer complex research questions through intelligent search and automated workflows. As the organisation continues to scale its AI capabilities, they are looking for someone to lead and shape the technical direction of their data and NLP initiatives. The Role As a Staff Applied Scientist, you will act as the technical lead for data and NLP initiatives, driving improvements across search, machine learning models, and AI-driven workflows. Responsibilities include: • Improving search performance (precision and recall), • Optimising search algorithms to deliver fast and accurate results, • Designing and implementing agentic AI workflows powered by LLMs, • Building and maintaining scalable data pipelines, • Leading technical decision-making across ML and NLP projects Requirements • 8+ years of commercial engineering and/or data science experience, • Experience in technical leadership or leading ML initiatives, • Strong Python programming skills, • Commercial experience with machine learning, • Experience working in Natural Language Processing (NLP), • Experience training ML models using TensorFlow and/or PyTorch, • Experience with search databases (e.g. Elasticsearch, OpenSearch), • Experience with cloud platforms (e.g. AWS), • Willingness to work 3 days per week onsite in London Benefits • Stock option plan, • 25 days annual leave, • Pension contributions, • Flexible working arrangements, • Training and development opportunities If you're interested in applying advanced AI and NLP techniques to solve complex problems and want to play a key role in shaping a growing AI platform, we’d love to hear from you.

Staff Applied Scientist (NLP / Machine Learning) London (Hybrid – 2 days onsite) An innovative AI-first technology company is looking for a Staff Applied Scientist to take a technical leadership role in building advanced machine learning and NLP solutions. The company develops cutting-edge platforms that leverage large language models and machine learning to answer complex research questions through intelligent search and automated workflows. As the organisation continues to scale its AI capabilities, they are looking for someone to lead and shape the technical direction of their data and NLP initiatives. The Role As a Staff Applied Scientist, you will act as the technical lead for data and NLP initiatives, driving improvements across search, machine learning models, and AI-driven workflows. Responsibilities include: • Improving search performance (precision and recall), • Optimising search algorithms to deliver fast and accurate results, • Designing and implementing agentic AI workflows powered by LLMs, • Building and maintaining scalable data pipelines, • Leading technical decision-making across ML and NLP projects Requirements • 8+ years of commercial engineering and/or data science experience, • Experience in technical leadership or leading ML initiatives, • Strong Python programming skills, • Commercial experience with machine learning, • Experience working in Natural Language Processing (NLP), • Experience training ML models using TensorFlow and/or PyTorch, • Experience with search databases (e.g. Elasticsearch, OpenSearch), • Experience with cloud platforms (e.g. AWS), • Willingness to work 3 days per week onsite in London Benefits • Stock option plan, • 25 days annual leave, • Pension contributions, • Flexible working arrangements, • Training and development opportunities If you're interested in applying advanced AI and NLP techniques to solve complex problems and want to play a key role in shaping a growing AI platform, we’d love to hear from you.

Head of AI is seeking exceptional leaders to join our network of fractional Heads of AI. Our mission is to help Biotechnology and life sciences organisations evolve into AI-enabled institutions — embedding AI strategically across their research, development, operations, and decision-making. We are looking for individuals who combine deep technical fluency with board-level leadership, capable of guiding organisations as they adopt and scale the new era of generative and agentic AI. We work with organisations across biopharmaceuticals, drug discovery, genomics, clinical research, digital health, and medical devices, typically ranging from £20m–£500m+ in revenue. These organisations face increasing pressure to accelerate innovation and improve patient outcomes while maintaining strong governance, regulatory compliance, and data integrity. Our fractional Heads of AI support leadership teams in embedding AI capabilities that improve R&D efficiency, strengthen decision-making, and unlock new scientific and commercial value. We recognise that few professionals have completed a full AI transformation in life sciences. Therefore, we seek leaders with proven experience in digital, data, analytics, or operational transformation who are now applying that expertise to AI-led change. You understand how to translate ambition into action — guiding organisations through the cultural, operational, scientific, governance, and regulatory shifts required to unlock AI’s potential. What We Are Looking For: AI-Driven Business Transformation Leaders: Proven experience leading complex transformation programmes where technology, data, and innovation reshaped business performance. Able to apply that experience to the generative AI era — guiding biotech and life sciences organisations through the shifts required to become AI-enabled. Can connect earlier digital, analytics, or automation expertise with today’s agentic and generative AI capabilities. Deep Technical Fluency: Fluent in modern AI ecosystems including generative AI, agentic systems, AI copilots, and orchestration frameworks (e.g. LangChain, AutoGen, CrewAI). Understands how to combine traditional ML, analytics, and scientific data systems (e.g. genomics, clinical, real-world data) with emerging AI architectures to deliver measurable value. C-Suite and Board-Level Communicators: Able to simplify complex AI and scientific topics for executives and align AI investments with organisational strategy. Confident advising CEOs, CTOs, Chief Scientific Officers, and Boards on strategy, risk, governance, and ROI. Change Leaders: Strong stakeholder engagement and ability to drive adoption. Skilled in mentoring teams, developing AI literacy, and ensuring responsible AI practices. Understands data governance, regulatory requirements (e.g. GxP, FDA/EMA), and human-in-the-loop design needed for AI success in life sciences. Entrepreneurial Mindset: Thrives in ambiguity and fast-paced environments. Curious about new AI tooling and pragmatic about implementation. Focused on delivering measurable outcomes through experimentation and iteration. What We Are Not Looking For: • Legacy executives without hands-on AI or GenAI understanding, • Academic or research-focused professionals without applied business outcomes, • Technologists who lack leadership or transformation delivery experience, • Consultants who only advise but have not led execution, • Corporate-only leaders reliant on large structures Desired Profile Summary The ideal candidate will serve as a Fractional Head of AI / AI-Driven Transformation Leader, focused on helping biotech and life sciences organisations design and execute end-to-end AI strategies, roadmaps, execution plans, and governance frameworks. They will bring 10–20+ years of experience across AI, data, digital transformation, analytics, or life sciences innovation, with a proven ability to translate technology into measurable scientific and commercial outcomes. They are experienced transformation leaders — such as Heads of Data Science, Chief AI Officers, AI Strategy Leads, or Digital Transformation Leaders — who have evolved beyond model development into organisational change and value delivery. Candidates with a data science or bioinformatics foundation are welcome, provided they demonstrate fluency in modern AI technologies (LLMs, copilots, orchestration frameworks) and executive-level influence. They thrive in fractional roles (1–5 days per week) and bring an entrepreneurial, adaptable, and outcome-driven mindset. We welcome applications from professionals passionate about helping life sciences organisations harness AI responsibly and at scale.

About the Company Our client is an established, globally operating SaaS business within the travel and hospitality technology space, supporting tens of thousands of customers worldwide. Following significant recent investment in product and platform evolution, the business is now entering a critical phase focused on embedding AI and machine learning at the core of its commercial and product strategy. This is a transformation role with direct visibility at executive level and real influence over how the business evolves. The Opportunity This is not a traditional data science role. You will operate at the intersection of AI strategy and hands-on execution, working directly with senior leadership to define, build, and deploy AI-driven capabilities across the organisation. The focus is on practical application, speed, and measurable impact — particularly in areas such as pricing optimisation, forecasting and intelligent automation. You will play a central role in shaping how modern AI technologies (LLMs, prompt engineering, ML models) are embedded into both the product and the broader business. Key Responsibilities • Design and implement AI-driven solutions across product, pricing, and internal workflows, • Apply LLMs and prompt engineering techniques to real-world business challenges, • Build and deploy machine learning / deep learning models, particularly within pricing and forecasting contexts, • Work with distributed data sources, APIs and emerging frameworks (including MCP where relevant), • Influence product and engineering teams to adopt AI-first thinking, • Help modernise and evolve legacy systems into scalable, future-ready architectures, • Drive standardisation of data, language and structures across the business, • Deliver solutions that are production-ready and commercially impactful, not theoretical Experience & Technical Background We are looking for a strong blend of hands-on AI capability and applied commercial thinking, including: Core AI / LLM Expertise • ~5+ years working with AI, including prompt engineering and LLM structures, • Strong understanding of how to manipulate and optimise LLM outputs, • Experience integrating AI into production environments via API-based architectures Data & Architecture • Experience consuming and working with data via APIs, • Exposure to MCP (Model Context Protocol) or similar frameworks (desirable, not essential), • Ability to work with complex, distributed and evolving data environments Machine Learning • Strong grounding in machine learning and/or deep learning models, • Understanding of regression models and predictive modelling, • Interest or experience in price forecasting and predictive analytics Who You Are This role is as much about mindset as it is about technical capability. You are: • A builder and operator — you lead by doing, not delegating, • A pace-setter — others follow your example, • A change agent — you challenge the status quo and improve how things are done, • Highly execution-focused — you can explain a solution clearly in minutes, not documents, • Equally comfortable with strategy and hands-on delivery, • Commercially driven — focused on revenue, growth, and real-world impact, • Resilient and adaptable — comfortable working with both modern and legacy systems, • Motivated by solving complex problems and seeing your work deployed at scale You also bring: • A strong appreciation for structured thinking, language, and data consistency, • A desire to bring clarity and standardisation to complex environments, • A collaborative mindset — able to work effectively across engineering and leadership teams Package: • Up to £150,000 base salary, • 15% performance-based bonus, • Fully remote working, • Ability to make a real difference at executive level, • Vast career opportunities, • Many other perks... Why This Role? This is a rare opportunity to step into a high-visibility, high-impact AI role within a scaling SaaS business, where you will directly influence product direction, commercial outcomes and the adoption of AI across the organisation. If you’re looking for a role where you can build, shape, and deliver — not just advise — this is it.

MSC expanding its reach and engagement The Marine Stewardship Council’s vision is for the world’s oceans to be teeming with life, and seafood supplies safeguarded for this and future generations. Through our internationally recognised certification and ecolabeling program well-managed sustainable fisheries are recognised and rewarded in the marketplace, through the leadership of our partners. Critically, other fisheries are incentivised to improve their performance to meet the growing demand for certified sustainable and traceable seafood choice. Over 700 fisheries around the world, 21% of the annual global marine catch, are now engaged in the MSC program and over 2,600 documented improvements to the way our oceans are being fished have been recorded. MSC certified and labelled seafood products are now available in over 100 countries. MSC contributing to the UN Sustainable Development Goals Within the wider ocean landscape, MSC plays an important role in contributing to the delivery of the United Nations’ Sustainable Development Goals. Set out in our Integrated Strategic Plan, our strategic priorities are underpinned by ambitious goals aligned to SDG 14 – Life Below Water: we are aiming to engage at least one-third of the world’s fisheries in our Program by 2030. Strong governance for our sustainable fisheries standard Fundamental to MSC’s success and strategic evolution over the past 25 years has been our ___, led by its Board of Trustees. The Board sets MSC’s strategic direction, guiding and overseeing delivery of the organisation’s strategic priorities. In doing so, it is supported by advice from the Executive, which in turn is advised by the Technical Advisory Board (TAB), responsible for providing scientific and technical advice, and the Stakeholder Advisory Council (STAC) which, through its multi-stakeholder membership, provides stakeholder advice and perspectives. The Board’s own composition reflects the range of appropriate strategic skills and experience required to lead a complex international organisation, including knowledge of the seafood industry and supply chain, conservation sector, and applied fisheries science. Appointment of two new Trustees for the MSC As part of the continued evolution and refresh of its governance, the Marine Stewardship Council (MSC) is seeking to appoint two new Trustees to its Board. Both appointees are expected to bring a strong track record of senior leadership, credibility at the highest levels, and expertise directly relevant to the MSC’s mission and work. In addition to a sound understanding of good governance and the responsibilities of trusteeship, the MSC is particularly interested in candidates who can offer deep expertise and leadership experience in one the following areas: Conservation and environmental leadership: a recognised leader in conservation or environmental sustainability, with executive and/or Board-level experience in international environmental organisations. Candidates should bring strategic insight and expertise, enabling them to inform and develop Board-level consideration of current and emerging conservation issues related to ocean stewardship and sustainable fishing. Applied fisheries science expertise: internationally recognised fisheries scientist with senior leadership experience in applied fisheries management, fisheries or marine policy development, and/or assessment, ideally including direct experience of MSC’s Fisheries Standard. With a strategic perspective, applicants will provide expertise and assurance to the Board on scientific and fisheries management matters, supporting the MSC in the effective delivery of its mission. Senior level experience in engaging with government and/or intra-governmental bodies would be desirable in either of the seats. While appointed for their particular expertise, Trustees contribute as full members of the MSC Board, engaging across the complete range of strategic, governance and fiduciary responsibilities that come before it. Trustees are appointed for a term of three years and may be invited to serve up to a maximum of two terms. The time commitment averages approximately 1-2 days per month. It is anticipated that the candidate appointed from a conservation or environmental background would take up their Board seat from July 2026. The candidate appointed from an applied fisheries science background would join the Board from July 2027, using the intervening year as an extended induction period and attending all Board meetings during that time. Person specifications Applicants for Board seats must demonstrate an understanding of MSC’s mission and vision, preferably based on experience. They should have excellent diplomatic skills and a natural affinity for cultivating relationships, problem-solving and building consensus among diverse individuals, and a commitment to inclusive practice and championing of diversity. Candidates for Trustee roles must also be able to demonstrate high levels of integrity, objectivity and fairness, excellent intellectual and analytical skills, and an ability to look forward and see the bigger picture. The capacity to work effectively in a team and to engage in a constructive and open manner is essential, as is an understanding and acceptance of the duties, responsibilities and liabilities of trusteeship in a UK legal context. Good spoken and written English skills are essential. We value and promote diversity within our Board of Trustees. It is vital that our Board Members are drawn from the widest possible talent pool, bringing with them different experiences, ideas and perspectives to inform our discussions and decisions. We therefore welcome and strongly encourage applications from a diverse range of candidates for these roles, from all demographic groups, communities and geographies, especially those currently under-represented on the Board. In appointing to these vacancies, we are keen to continue to improve representation from Southern Europe and Asia within the Board’s membership. With that in mind, we particularly welcome applications from candidates from Southern European and Asian countries. How to apply To apply, please submit a CV and covering letter, detailing how you fulfil the role description and personal specification to ___ quoting reference 8353. The deadline for applications is Monday 20th April 2026 at 9:00am BST. Perrett Laver will conduct an executive search process in parallel with the public advertisement of the role. Longlisted candidates will be invited to an interview with Perrett Laver in late-April, early-May and shortlisted candidates will be invited to interview with MSC in late-May. We are committed to the principles of equality and fairness and do not discriminate on the grounds of age, ethnicity, race, colour, religion or belief, gender or gender identity, sexual orientation, or disability. If you consider yourself to have a disability and need reasonable adjustments made during the recruitment and selection process, please let us know how we can help you. To confidentially get in touch about this role, or for advice on your application please email, Ilona Motyer on ___ Should you require access to these documents in alternative formats, please contact Freya Coombes on ___ If you have comments that would support us to improve access to documentation, or our application processes more generally, please do not hesitate to contact us via ___

Wenham Carter is proud to be supporting a global leader in industrial software in the search for a Lead AI Engineer to join a specialist AI Investigation & Incubation team. This is a unique opportunity to work at the intersection of advanced AI research and real-world industrial application, taking emerging concepts and turning them into working, deployable systems that deliver measurable impact. The organisation operates at global scale across energy, manufacturing, and asset-intensive industries, where reliability, performance, and operational feasibility are as important as innovation. The role This is a hands-on technical leadership position focused on exploring, validating, and prototyping next-generation AI capabilities. You’ll be responsible for taking early-stage AI ideas and rapidly turning them into proof-of-concepts and pilots that can be assessed for real-world deployment. Key focus areas include: • Evaluating emerging AI technologies for practical industrial application, • Designing and building prototypes, PoCs, and pilot systems, • Developing, fine-tuning, and benchmarking advanced ML models, • Making architectural decisions around deployment, scalability, and integration, • Assessing solutions across cost, security, reliability, and operational feasibility, • Working closely with cross-functional teams to transition validated work into downstream product paths, • Communicating findings clearly to both technical and executive stakeholders, • Mentoring and supporting junior engineers in the team Key requirements • 10+ years of experience in AI/ML engineering, including at least 4 years in a technical leadership role, • Strong academic background in Computer Science, AI/ML, Engineering, or related field, • Deep hands-on experience with Python and modern ML frameworks (PyTorch, TensorFlow, JAX), • Proven track record delivering complex AI initiatives with tangible outcomes, • Experience working in industrial software, manufacturing, energy, IoT, or other asset-intensive environments is essential, • Strong experience with foundation models, multi-modal systems, agent-based architectures, and RAG techniques, • Ability to translate AI capabilities into real-world enterprise and industrial use cases, • Excellent communication skills, including engagement with senior stakeholders and cross-functional teams Why this opportunity? This is a chance to sit at the forefront of applied AI in one of the most complex and important industrial domains globally. You’ll have the freedom to explore emerging technologies, but also the responsibility to turn them into something real, scalable, and valuable. If you’re excited by building at the edge of AI - and seeing your work move beyond the lab into production environments - this is a rare opportunity to do exactly that. To stay updated on roles like this, follow me here on LinkedIn and send me a connection request.

Location • Remote, but requirement to meet up once a month for in-person collaboration day, • UK based About Akixi Akixi is a leading provider of SaaS analytics solutions for cloud-based communication platforms, helping service providers and enterprises gain actionable insights from their telephony and collaboration data. Our solutions span Microsoft Teams, Cisco BroadWorks, Webex Calling, and CRM integrations — delivering real-time and historical analytics that improve customer experience and business performance. We are expanding our platform to include advanced AI capabilities — voice and chat assistants, intelligent analytics, and predictive insights — and are seeking an AI Engineer to define and deliver this vision. Job Summary & Purpose Own and drive Akixi’s AI and ML strategy — from concept and architecture through hands-on prototyping and deployment — to embed intelligence into Akixi’s products and analytics platforms. As the AI Engineer, you will define and execute Akixi’s AI roadmap, combining leadership of architecture and engineering practice with hands-on development of prototypes and production features. You’ll partner with Product, Data, and Platform Engineering to design and integrate AI-driven capabilities such as voice/chatbots, natural-language analytics, and predictive models. This role balances strategic technical direction with hands-on implementation, ensuring Akixi’s AI initiatives deliver tangible business and customer outcomes. Key Responsibilities • Lead the definition and delivery of Akixi’s AI strategy and technology roadmap., • Architect scalable AI solutions integrated into Akixi’s SaaS analytics platform., • Prototype, develop, and integrate AI-driven components such as chatbots, voice assistants, ML models, and LLM-based analytics., • Apply prompt engineering and model-tuning techniques to optimize chatbot and LLM behaviour., • Conduct research, proof-of-concepts, and feasibility studies for emerging AI technologies., • Collaborate with Product Management to scope AI features and align them with business goals., • Partner with Data Engineering to operationalize models, manage training data, and implement monitoring and retraining pipelines., • Work closely with Development, DevOps, and QA teams to ensure smooth CI/CD integration and deployment of AI components., • Establish standards for AI code quality, ethics, and data governance., • Mentor engineers working on AI-related projects, fostering technical excellence and innovation., • Evaluate external AI vendors, tools, and frameworks for adoption or integration., • Stay ahead of developments in AI/ML, LLMs, and applied analytics, translating trends into practical opportunities for Akixi. Required Skills & Experience • 4+ years in software engineering, with at least 2+ years focused on AI/ML or data-driven product development., • Proven expertise in developing and integrating AI solutions such as chatbots, voicebots, ML models, or LLM-based analytics., • Strong proficiency in Python (preferred) and/or JavaScript/TypeScript., • Hands-on experience with AI frameworks (e.g. TensorFlow, PyTorch and/or LangChain) and LLM APIs (e.g. Azure OpenAI, OpenAI API, Anthropic and/or AWS Bedrock)., • Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms., • Deep understanding of prompt engineering and fine-tuning of large language models., • Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning., • Familiarity with cloud AI/ML services (e.g. Azure Cognitive Services, AWS SageMaker, and/or GCP Vertex AI)., • Experience deploying and monitoring AI workloads in CI/CD environments (e.g. Jenkins, Docker, Kubernetes, and/or AWS)., • Ability to design data pipelines, APIs, and microservice integrations supporting AI features., • Excellent problem-solving, communication, and cross-team collaboration skills., • Proven ability to lead technically while remaining hands-on in design and coding. Advantageous Skills & Experience • Experience with call/contact-centre analytics, Microsoft Teams Graph API, or telephony platforms (e.g. BroadWorks, Webex Calling)., • Knowledge of data governance, model ethics, and MLOps practices., • Exposure to data visualization and predictive analytics for customer-experience metrics., • Advanced degree in AI, ML, Data Science, or related discipline. Why Akixi At Akixi, you’ll play a pivotal role in transforming how businesses understand and act on communication data. You’ll define and deliver the intelligence layer of a platform used by thousands worldwide — in an environment that values innovation, experimentation, and technical depth. We offer a collaborative culture, hybrid flexibility, and the opportunity to lead meaningful, high-impact AI initiatives from vision to production.

Material Scientist with Python Experience — AI Projects About this opportunity hackajob is collaborating with one of the best platforms that connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may: • Design original material engineering problems that simulate real engineering workflows, • Create problems requiring Python programming to solve engineering calculations and simulations, • Ensure problems are computationally intensive and require numerical methods or iterative solutions, • Develop problems involving system design, optimization, and analysis, • Base problems on real research challenges or practical applications from engineering practice, • Verify solutions using Python with standard engineering libraries, • Document problem statements clearly and provide verified correct answers What we look for This opportunity is a good fit for material scientists & engineers with Python experience, open to part-time, non-permanent projects. Ideally, contributors will have: • Degree in Material Science or related fields, • Python proficiency for numerical validation — MATLAB, R, C, SQL, NumPy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of any programming language can be equivalent, • 2+ years of professional experience — applied, research, or teaching experience is applicable, • Understanding of practical engineering constraints and approximations, • Strong written English (C1+) How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations Tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation Contributors can earn up to $76 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Other projects on the platform may offer different earning levels based on their requirements.