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The Bread Factory is London’s leading Artisan Bakery, known for award-winning breads, pastries, and cakes, supplying top-quality products across e-commerce, grocery, food services, and retailers such as our GAIL’s Bakeries nationwide. As our teams grow, we seek our next Assistant Quality Manager to join our Technical team. We Care about a Job Well Done: Since 1993, we have been champions in traditional baking with the finest ingredients and techniques. We always do things the right way, not the easy way. We Care about Baking: At The Bread Factory, all our teams take pride in crafting beautiful, freshly baked loaves, pastries, and cakes. We are all passionate about our products and share knowledge among us all. We Care about Each Other: We always act with respect, empathy, and support to our employees, neighbours and customers. We Care about Community: We believe in minimising unsustainable practices and reducing waste. While ensuring we continue to provide everyone with nutritious high-quality food. We Care about Nature: We’re committed to sustainability across our supply chain—from reducing waste and reusing surplus to supporting regenerative farming that helps restore the planet. Every day is different at The Bread Factory, but here are some of the things you will be doing: • Support and deputise for the Quality Manager, acting as the site quality lead when required., • Maintain, review, and continuously improve the site Quality Management System (QMS)., • Ensure ongoing compliance with BRC, HACCP, legal, and customer requirements., • Plan, conduct, and report internal audits in line with site and group audit schedules., • Lead and present full traceability exercises, including forward, backward, and mass balance., • Support preparation for and participation in external, customer, and certification audits., • Act as the primary site technical contact for customer queries, specifications, artwork, labelling, and allergens., • Investigate customer complaints and quality incidents, completing root cause analysis and corrective actions., • Prevent the release of non-conforming product and manage deviation and concession processes., • Coordinate supplier non-conformances and ensure timely and effective corrective action closure., • Manage site product sampling plans and coordinate microbiological, nutritional, and chemical testing., • Review, trend, and analyse testing results and escalate risks where appropriate., • Compile, analyse, and report site KPIs, supporting actions arising from trends and performance reviews., • Deliver food safety, quality, and QMS training to operational teams., • Coach and support QA team members, contributing to capability development and succession planning., • Support continuous improvement initiatives across quality, food safety, hygiene, and compliance., • Ensure accurate document control and timely communication of quality information across the site. Our team tells us you will be a great addition if you have: • Degree or equivalent qualification in Food Safety, Food Science, or a related discipline., • Minimum of 2–3 years’ experience in food manufacturing within a technical or quality role., • Level 3 HACCP and Food Safety qualification., • Internal Auditor qualification (Lead Auditor desirable)., • Strong working knowledge of BRC standards and customer codes of practice., • Experience managing customer complaints, audits, and non-conformance investigations., • Strong root cause analysis and corrective action skills., • Excellent communication and stakeholder management skills., • Proficient in Microsoft Office, particularly Excel for data analysis and reporting., • Ability to work independently and make quality-related decisions within scope. What’s in it for you: • Fresh bread daily to take home to enjoy with family and friends., • 50% discount at GAIL’s and 40% off at The Bread Factory & The Flour Station Markets., • 25 days holiday + bank holidays, • Discounts and Savings from high-street retailers and restaurants, • 24-hour GP service, • Cycle to work scheme

Job title: Data Custodian Lead (Edgewing) Location: Reading area. The role could be contracted to any BAE Systems site (preferably Frimley) but on commencement will immediately be assigned to our Edgewing JV in the Reading area. A financial support package may be available to enable this assignment if required, dependent on certain criteria being met. Due to the nature of this assignment, we envisage there will be a need for mostly on site working, however, flexible working arrangements may be possible – please speak to your recruiter about the options for this role Salary: £61,900-£79,100 Dependent of skills and experience What you’ll be doing: * Responsible for agreeing the technical capabilities to meet the storage, security and access controls as defined by Edgewing Joint Venture leadership upon appointment * Responsible for managing the technical infrastructure and the identification, authentication and authorisation of users on the platform * Establishing the technical processes that support the platform in ensuring all data is handled appropriately to prevent data loss or corruption * Support the running of quality checks and ensure compliance with business policies at a technical level * Lead and develop the data team to ensure delivery of data management throughout the organisation Your skills and experiences: Essential * A Bachelor’s degree (or higher) in Data Science, Information Technology, Knowledge Management, or a related STEM discipline is required * Previous experience in a leadership role leading data projects through life * Experience in data storage design, management, and the development and auditing of data archiving policies * Strong expertise in knowledge management systems, information management, and the secure handling and movement of data across enterprise environments Desirable * Knowledge of data storage systems, including RDBMS (e.g., MySQL, PostgreSQL), NoSQL (e.g., MongoDB, Cassandra), and data warehouse solutions (e.g., Amazon Redshift, Google BigQuery) * Familiarity with data exchange technologies and protocols such as APIs, ETL processes, and data replication * Understanding of cloud storage services offered by AWS, Microsoft Azure, and Google Cloud Platform Benefits: As well as a competitive pension scheme, BAE Systems also offers employee share plans, an extensive range of flexible discounted health, wellbeing and lifestyle benefits, including a green car scheme, private health plans and shopping discounts – you may also be eligible for an annual incentive. The Edgewing Team You will be joining a highly motivated, experienced team within the BAE Systems Air sector, committed to the delivery and progression of a Future Combat Air System (FCAS) for the UK. You will play a central role in working across a diverse stakeholder group of functional and delivery teams including tri national industry and government colleagues from across our partner nations to support the delivery of the Global Combat Air Programme (GCAP). Why BAE Systems? This is a place where you’ll be able to make a real difference. You’ll be part of an inclusive culture that values diversity of thought, rewards integrity, and merit, and where you’ll be empowered to fulfil your potential. We welcome people from all backgrounds and want to make sure that our recruitment processes are as inclusive as possible. If you have a disability or health condition (for example dyslexia, autism, an anxiety disorder etc.) that may affect your performance in certain assessment types, please speak to your recruiter about potential reasonable adjustments. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role, to allow for meaningful security vetting checks. Closing Date: 3rd March 2026 We reserve the right to close this vacancy early if we receive sufficient applications for the role. Therefore, if you are interested, please submit your application as early as possible. #LI-JE1 #LI-Onsite

Outside Sales Product Specialist - Data Management, London At Dell Technologies, we create the extraordinary. Our Outside Sales Product Specialists are the experts who sell innovation to the world. Responsible for a set of products and services, they get to know their portfolio inside and out. Our Outside Sales teams rely on them for technical advice during the sales process. They directly advise customers on everything from product features and configurations, through to pricing and availability. We are seeking senior sales candidates with a strong track record selling data management, analytics, MLOps, or AI platforms into large enterprise customers. This role is responsible for new customer acquisition, account expansion, and strategic account growth by positioning modern data platforms as the foundation for enterprise analytics and AI initiatives. Join us to do the best work of your career and make a profound social impact as a Outside Sales Product Specialist on our Product and Solutions Sales Specialist Team in the UK, based London What you’ll achieve As an Outside Sales Product Specialist, you will proactively identify and solve customer business needs by providing subject matter expertise and creating solutions using Dell’s products and services. You will: -Manage relationships with senior level technical personnel and decision makers -Demonstrate the value of a product and/or service technology to advance customer business objectives -Provide insight and thought leadership to customers concerning applicability of highly complex products and services -Act as a technical resource for the sales organization to help meet and exceed their objectives Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role: Core Skills & Key Responsibilities · Bring 5+ years of enterprise sales experience in data management and analytics, ideally with vendors such as Databricks, Snowflake, Denodo, Informatica, Teradata, ScaleAI or similar. · Develop and execute account strategies aligned to customer data, analytics, and AI transformation initiatives that are focused on Dell’s AI Data Platform Data Engines. · Engage senior customer stakeholders, including CIOs, CDOs, CTOs, and Heads of Data, Analytics, and AI. · Lead value-based sales conversations that connect measurable business ROI based outcomes to the AI Data Platform. · Position competitively and win against incumbent and next-generation data platform providers. · Demonstrate a strong understanding of modern data architectures (data warehouses, data lakes, lakehouse models, and vector databases for AI/RAG) at a business and value level. · Articulate how Dell products enable AI applications through retrieval-augmented generation (RAG) and unstructured data processing for use cases like intelligent search, document analysis, and conversational AI. · Position the platform's capabilities for handling unstructured data (documents, images, logs) alongside structured data for comprehensive AI solutions · Show familiarity with data engineering, analytics, BI, and data science workflows sufficient to sell AI based outcomes and guide customer conversations. · Connect data and AI initiatives to executive priorities such as AI adoption, cost optimization, revenue growth, and operational efficiency. Desirable Requirements -8 to 12 years of related experience in a relationship selling role -Bachelor’s degree Who we are We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here. Job ID:R285937

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

Trainee AI Engineer - No Experience Needed! Ready to launch a future-proof career in AI - even if you have zero experience? We’re looking for ambitious individuals ready to break into the world of artificial intelligence and data science. Our industry-leading AI Traineeship is designed to take y

ABOUT US We are part of a leading international group of fertility specialists, including CREATE Fertility and IVI London, providing world-class reproductive healthcare across the UK. Our clinics are at the forefront of innovation, offering Natural and Mild IVF meaning, gentler, safer approaches that use little to no fertility medication alongside a full range of advanced treatments, including IVF, IUI, ICSI and fertility preservation. Together, we are committed to evidence-based treatments, cutting-edge technology and personalised, patient-focused care helping to give every patient the best possible chance of success. JOB PURPOSE The Senior Embryologist participates in the provision of laboratory services for assisted reproduction treatments, diagnostic andrology, and cryobanking of gametes/embryos in accordance with the Human Fertilisation and Embryology Authority (HFEA) Act and relevant professional Codes of Conduct. The Senior Clinical Embryologist maintains full and proper records, as well as participating in data analysis, audit and research to ensure a high quality of services is provided to patients. The Senior Clinical Embryologist must be HPC registered and maintain registration throughout the term of the job. JOB DIMENSIONS The Senior Embryologist must practise using effective self-management of workload, whilst working both within the embryology team and the wider unit team. In addition to embryological duties, it is expected that the Senior Embryologist will provide supervision of trainees (under the guidance of the Lead Embryologist), as well as taking responsibility for a defined area of work under the direction of the Lead Embryologist. The Senior Embryologist must have: • a detailed knowledge of the fundamental biology and scientific evidence that underpins clinical embryology practice;, • an understanding of the work of related disciplines;, • an understanding of all prevailing legislation, including the HF&E Act (and subsequent revisions), Health and Safety policies, COSHH guidelines for handling of gas and liquid nitrogen, • a detailed knowledge of, and ability to apply, quality assurance and monitoring of laboratory performance as per the Quality Manual;, • the ability to communicate highly sensitive and/or complex information effectively to colleagues, patients and other disciplines. In addition, the post holder must adhere to the HFEA Code of Practice, WHO guidelines for semen analysis, and the Association of Clinical Embryologists’ Professional Code of Conduct. PRINCIPAL DUTIES & AREAS OF RESPONSIBILITY Research and Development • To develop new processes and procedures in collaboration with other centres/scientists where applicable., • To train other embryologists in new techniques and processes., • To act as trainer and speaker in meetings and training courses as appropriate., • To conduct basic science research in the field of follicular maturation and embryology., • To write scientific papers for peer reviewed publications., • Present data at scientific meetings Clinical Embryology • To perform the relevant IVF procedures and laboratory duties according to the laboratory’s standard operating procedures, and within the HF&E Act and other applicable regulation, in such a manner as to promote and safeguard the best interests of patients, and their gametes and embryos in their trust. IVF procedures include:, • oocyte retrieval and preparation for insemination, • diagnostic semen analysis, • sperm preparation for IUI, IVF and ICSI, • preparation of surgically retrieved sperm samples, • insemination techniques, including ICSI, • assessment of fertilisation and, • embryo culture and assessment to the blastocyst stage where relevant, • embryo transfer, • gamete and embryo cryopreservation, • Embryo biopsy and interpretation of PGT results, • To be available to respond to the lab alarms and be fully aware of the emergency procedures and protocols where necessary., • to analyse complex data to evaluate sperm, egg and embryo quality in order to direct patient treatment, making decisions and taking responsibility for planning and undertaking IVF procedures, • to ensure that proper written consent is gained before any embryological procedures are carried out, • to consult directly with patients on a daily basis, giving results and informing patients of the progress of their treatment, including numbers of eggs fertilising and timing of embryo transfer; where necessary, this will include discussing changes in treatment options (for example based on semen quality), imparting highly sensitive, and potentially distressing, information, • to interpret, analyse and discuss with referring clinicians laboratory results or highly complex embryology data, and where appropriate provide advice on further management, drawing upon the scientific literature when required, • to help maintain the laboratory in a fit state for practice in accordance with HFEA guidelines and the unit’s HFEA licence, to include participation in maintaining up-to-date laboratory standard operating procedures and laboratory Quality Assurance monitoring, • to assist in the training and supervision of juniors/trainees and to ensure they understand and adhere to laboratory standard operating procedures, • to participate in audit and troubleshooting and revising SOPs to address these, • to participate in service evaluation and development Data Collection & Audit • to ensure the collection and maintenance of laboratory data as part of the unit’s clinical database;, • to be responsible for the collation of specific datasets in electronic and paper formats;, • to be responsible for, and participate in, the audits of cryopreserved material, including gametes and embryos as part of HFEA requirements;, • to oversee the accurate completion of patient records and filing in accordance with the Code of Practice of the Human Fertilisation and Embryology Authority;, • to participate in laboratory Quality Assurance, including data audit, assessment of performance, and development and refinement of laboratory Quality Control;, • to participate in the unit’s regularaudit, clinical review and other meetings. Quality Management To produce monthly laboratory KPI’s to present to the Laboratory Manager/clinical meeting. KPI will be a standard monthly report to include: • current month IVF & ICSI fertilisation rates, cleavage rates and embryo quality., • Pregnancy outcomes for 4 weeks (3 weeks in retrospect), • 3-Monthly data from previous 4 months (i.e 1 month in retrospect), • To produce a fortnightly/monthly EDI report showing which entries are missing., • To produce a monthly list of missing birth outcomes from the database/EDI., • To produce a yearly KPI report. Key Performance Indicators (KPIs): The Senior Embryologist will have KPI’s monitored as part of the lab KPI monitoring. Any significant deviations will be dealt with as per quality management policies. Measurable Results: Define the expected outcomes or results that the individual in this role is accountable for achieving. These results should be quantifiable and align with the broader objectives of the organization. Provide clear benchmarks or targets for each result to enable performance evaluation and goal setting. Qualifications Minimum Requirements: • Masters degree in a relevant subject. Education: • Masters degree in relevant subject. Experience: Technical Skills: • Must be capable of operating a PC and working with delicate samples. Soft Skills: • Interpersonal skills area huge advantage. Preferred Qualifications: • Participation in relevant courses. Language Proficiency: • English Licenses/Certifications: • The Senior Embryologist should be HPC registered.

Company Description Image Analysis Group (IAG) is a trusted partner to life sciences companies, offering expertise in medical imaging and leveraging its DYNAMIKA platform to streamline clinical trials and standardize imaging data review. With a strong focus on radiological endpoints, IAG enhances trial efficiency, supports data-driven decisions, and ensures clean data for regulatory submissions. By integrating AI into imaging and data processes, IAG maximizes patient recruitment speed and accelerates clinical outcomes. Over nearly two decades, IAG has successfully contributed to more than 700 trials across therapeutic areas such as oncology, immunology, rheumatology, obesity, and rare diseases. Role Description This is a full-time role for a Director of Quantitative Imaging or Imaging Biomarkers, based in the London area, United Kingdom, with flexibility for partial remote work. You will lead IAG’s non‑oncology imaging strategy, with primary focus on musculoskeletal (MSK), bone health, DXA and other specialty indications (e.g., rheumatology, orthopaedics, metabolic bone disease, rare disease and inflammatory conditions). This director‑level leader will combine a strong medical physics/quantitative imaging background with clinical trial experience to design imaging strategy, validate and oversee imaging endpoints, act as a senior sponsor‑facing expert, and build IAG’s reputation as a centre of excellence in MSK and specialty imaging. Key responsibilities Scientific and translational leadership • Define and lead IAG imaging strategy for MSK, DXA and specialty non‑oncology indications across phases I–IV and post‑marketing studies., • Design and refine imaging endpoints and biomarker strategies aligned with programme objectives and Sponsors' needs., • Work with IAG's Therapeutic Area Leads and help translating disease biology and mechanism of action into robust imaging readouts that support decision‑making in drug and device development. Medical physics & quantitative imaging oversight • Provide senior medical physics input on imaging protocol design, sequence/parameter optimisation, scanner standardisation and QA/QC for MRI, CT, DXA and related modalities., • Together with IAG's teach of Imaging specialists, lead scanner qualification and harmonisation programmes (including phantom work and site technical assessments) to ensure high‑quality, comparable data across vendors and geographies., • Oversee development, validation and maintenance of quantitative analysis pipelines for specialty imaging, including performance assessment and documentation suitable for regulatory use. Clinical trial and sponsor engagement • Serve as a key scientific contact for sponsors on MSK and specialty imaging, from early opportunity/scoping through protocol design and study execution., • Participate in or lead sponsor meetings, explaining and defending imaging strategies, endpoints and quantitative methods to clinical, biomarker and regulatory stakeholders., • Partner with internal project management, data science and engineering teams to ensure imaging plans are feasible, scalable and aligned with timelines and budgets. Team leadership & capability building • Mentor and develop imaging project managers and indication‑focused imaging scientists within the MSK and specialty imaging space., • Establish best practices, SOPs and training frameworks for quantitative MSK, DXA and specialty imaging across IAG., • Contribute to workforce planning and recruitment to grow IAG's imaging function. External visibility & innovation • Represent IAG at relevant scientific meetings (e.g., EULAR, OARSI, ASBMR, ISMRM, ADA, EASL) and in consortia related to quantitative and specialty imaging., • Lead or co‑author scientific publications, white papers and conference presentations on quantitative MSK and specialty imaging in clinical trials., • Evaluate emerging imaging technologies (e.g., advanced reconstruction, radiomics, AI‑based quantification) and guide their integration into IAG offerings where they add clear value. Qualifications • Expertise in Nuclear Medicine, Radiology, or / and Medical Imaging, • Strong background in clinical trials, • Ability to lead multidisciplinary teams and manage cross-functional collaborations, • Proficiency in image analysis software and familiarity with AI-driven / automated imaging technologies, • Experience with clinical trials and understanding of regulatory requirements associated with imaging endpoints, • Strong analytical, problem-solving, and communication skills, • Advanced degree in a relevant field such as Medicine, Radiology, or Biomedical Sciences, • Experience in therapeutic areas such as oncology, rheumatology, or neurology is an advantage What Image Analysis Group (IAG) offers A true scientific seat at the table • You will partner directly with the CEO and senior leadership, influencing indication strategy, study design and productisation of imaging services rather than operating as a back‑office expert. Your voice will shape which opportunities we pursue and how we deliver them. Breadth of programmes, depth of impact • You will oversee diverse, global trials in musculoskeletal, bone, rheumatology, rare disease and other specialty areas, with the scope to define and standardise how quantitative imaging is done across sponsors and studies. The work you design becomes the template for future programmes. A platform to build your own centre of excellence • You will have the mandate to grow and shape a dedicated quantitative and specialty imaging group—recruiting, mentoring and setting best practices—so that the function reflects your scientific standards and vision. Technology and data you can truly experiment with • Working alongside IAG’s engineering and AI teams, you can bring advanced reconstruction, quantitative pipelines and ML approaches from concept to operational reality, on real clinical trial data, at meaningful scale. High visibility in the external community • We actively support conference presence, invited talks, leadership in working groups and publication of methods and results. You will be encouraged—and resourced—to be a visible voice in the international imaging and medical physics communities. An entrepreneurial, agile environment • Unlike academic or hospital systems, IAG offers short decision lines and the ability to move fast on ideas that make scientific and commercial sense. If you see a better way to do something, you will have the autonomy and support to implement it. Competitive rewards aligned with your impact • We offer a competitive package with performance‑based incentives and the potential for equity participation, recognising that this role is central to IAG’s next phase of growth in imaging‑driven drug and device development.

🤖 Junior Machine Learning Engineer (0–2 years) | Competitive Salary | London | Hybrid Working 🚀 Are you a Junior Machine Learning Engineer looking to kick-start your career working on real-world ML systems used at scale? We’re looking for a curious and motivated Junior Machine Learning Engineer to join a collaborative, data-driven technology team, working in a flexible hybrid setup based in London. This role is ideal for someone early in their career who’s excited about applied machine learning, enjoys building solutions that move into production, and wants to learn from experienced engineers in a fast-moving environment. You’ll be part of a modern engineering function working on large-scale data and ML products, contributing to model development, data pipelines, and deployment workflows that power business-critical platforms. 🔍 In this role, you’ll: 🤖 Build, train, and evaluate machine learning models using Python 📊 Work with large, complex datasets to support ML-driven products and insights 🧠 Assist with feature engineering, experimentation, and model optimisation ☁️ Contribute to data and ML pipelines in cloud-based environments 🗄 Work with structured and semi-structured data using SQL 🚀 Support the deployment and monitoring of models in production environments 🤝 Collaborate closely with data engineers, software engineers, and product teams 📐 Help maintain best practices around testing, documentation, and reproducibility 🌟 What’s in it for you? 📈 Career Development – Hands-on experience, mentorship from senior engineers, and clear progression paths 💡 Learning Culture – A team that encourages curiosity, experimentation, and continuous improvement 🏢 Hybrid Working – A flexible mix of remote work and time in the London office 🌍 Real-World Impact – Work on ML systems used by customers at scale 💰 Competitive Package – Salary and benefits based on experience, including bonus, pension, and generous annual leave ✅ What we’re looking for: 🎓 A degree in Computer Science, Machine Learning, Data Science, Mathematics, Engineering, or a related field 💼 0–2 years of experience in machine learning, AI, or software/data engineering (including internships, placements, or academic projects) 🐍 Strong Python skills for ML and data processing 🗄 Experience working with SQL and structured datasets ☁️ Familiarity with cloud platforms and modern data stacks 🧠 A solid understanding of machine learning fundamentals and data workflows 💬 Strong communication skills and a collaborative mindset ⭐ Big bonus points for: ⚙️ Exposure to ML pipelines, MLOps, or production ML systems 📦 Experience with tools such as Databricks, Snowflake, or similar platforms 🔍 Familiarity with version control, testing practices, or CI/CD workflows If you’re excited about building machine learning solutions, learning fast, and growing your career in a supportive, high-impact environment, we’d love to hear from you. 👉 Apply now and take the next step in your ML engineering career.

Do you want to shape how LLMs are deployed at scale in a real business? Have you built RAG or agentic systems that moved beyond experimentation? Are you motivated by measurable customer and commercial impact, not demos? A private-equity-backed consumer services business is scaling its Data Science & AI capability as part of a multi-year transformation. Following an award-winning data programme, the company now has an established AI function and is investing further in LLM-powered assistants, RAG pipelines, voice/chat intelligence and early agentic workflows across both customer-facing and internal products. This Senior AI Engineer role is a hands-on individual contributor position, sitting between Data Science and AI Engineering. You will lead AI proof-of-concepts, design retrieval and context strategies, contribute to the AI architecture, and ensure solutions are robust, scalable and commercially grounded. The role spans the full AI lifecycle, from data preparation and model evaluation through to deployment and optimisation. Key responsibilities • Lead development of LLM and AI proof-of-concepts, • Design and implement RAG pipelines and agentic workflows, • Define evaluation frameworks for LLM quality and response accuracy, • Partner with product and engineering on chat flows and continuous improvement, • Contribute to AI platform architecture and best practices, • Mentor junior ML / AI engineers (no formal line management) Key details • Salary: £80,000 base + 10% bonus, • Pension: 5% matched, • Working model: Hybrid, 3 days per week (Tuesday & Wednesday fixed), • Location: Central London, • Stack: Python, Databricks, RAG, vector databases, Azure (preferred), LangChain / LangFuse, • Visa: This role cannot sponsor Interested? Please apply below.

🚀 Senior Python Engineer Location: London / Hybrid / Remote (UK & NL time zones) Type: Full-time Salary: Up to 85k + benefits Are you a Python engineer who loves tackling complex problems with math and analytics? 🧠💻 We’re searching for a Senior Python Engineer to help build cutting-edge software used by top global brands for forecasting, optimization, and analytics. 🛠 What you’ll do: • Build, maintain, and improve Python modules for analytics and optimization., • Implement advanced algorithms for forecasting, econometrics, and marketing mix modeling., • Handle large-scale data and optimization challenges while keeping performance and scalability in mind., • Apply software engineering best practices—SOLID principles, design patterns, unit & integration testing., • Work with modern tech: NumPy, SciPy, Pandas, SQL, Docker, Kubernetes, cloud platforms, CI/CD., • Collaborate with an international team across the UK, Netherlands, and US., • Take ownership of key product modules and influence software architecture. 🏆 What we’re looking for: • 5+ years Python experience, especially with scientific libraries (NumPy, SciPy, Pandas)., • Relevant degree (Maths, Computer Science, or related quantitative field)., • Strong maths/statistics/analytics background, with experience translating theory into production-ready Python code., • Experience building analytics/optimization solutions in a product environment., • Bonus: familiarity with marketing mix modeling, forecasting, or econometrics., • Bonus: experience with SQL, Docker, Kubernetes, cloud platforms, CI/CD pipelines., • Excellent communicator and team player, able to problem-solve and share knowledge. Why this role is exciting: 🎯 Shape the analytics engine behind tools used by leading global brands. 🌱 Opportunities to mentor others and own critical modules. 🚀 Work in a fast-paced, performance-driven environment with room for growth. 📚 Training, workshops, and conferences to keep your skills cutting-edge. Why you’ll love this team: Join a highly skilled, international engineering team where your work directly impacts product success. Flexible working options make it easy to balance life and work, while challenging problems will keep you engaged every day.

About Persistent: We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem. Our disruptor’s mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We have delivered 21 sequential quarters of growth with $389.7M in Q1 FY26 revenue, up 3.9% Q-o-Q and 18.8% Y-o-Y growth. Our 25,000+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries. We have been named the fastest-growing Indian IT services brand in the “Brand Finance India 100” 2025 report. We were also cited as a Leader in the ISG Provider Lens™ 2025 for Digital Engineering Services 2025 and the Everest Group Talent Readiness for Next-generation Application Services PEAK Matrix® Assessment 2025 About Position and details: • Role: Security Architect (HLD), • Location: Harbour Exchange Square, London, • Hybrid: 2 days to office, • Experience in authoring substantial quality high level designs-Must, • Identity and Access Management (IAM) is Must, • Expertise in producing security solutions, • Expertise in designing and integrating various security tools specially., • Develop Solution Design Documents (SDDs) for security solutions, ensuring alignment with enterprise architecture and security policies., • Design and architect solutions across various security domains including:, • Data Loss Prevention (DLP), • Security Information and Event Management (SIEM), • Identity and Access Management (IAM), • Endpoint Detection and Response (EDR), MDM, and Endpoint Management tools, • Cloud and On-Prem Security Solutions, • Collaborate with stakeholders such as IT operations, application teams, compliance, and risk management to gather requirements and translate them into secure technical designs., • Evaluate and recommend security products, tools, and technologies., • Ensure solutions meet compliance, data privacy, and regulatory requirements (e.g., GDPR, HIPAA, ISO 27001)., • Support solution implementation teams with architecture guidance and technical documentation., • Proven experience designing security solutions across multiple domains including DLP, SIEM, IAM, and Endpoint Security., • Bachelor’s degree in computer science, Cybersecurity, Information Systems, or related field (master’s preferred)., • Experience in cybersecurity with 3+ years in a security architect or solution designer role., • Familiarity with industry standards and frameworks such as NIST, ISO 27001, TOGAF., • Strong documentation skills with experience writing SDDs, architecture diagrams, and technical specifications. · Accelerate growth, both professionally and personally · Impact the world in powerful, positive ways, using the latest technologies · Enjoy collaborative innovation, with diversity and work-life wellbeing at the core · Unlock global opportunities to work and learn with the industry’s best Let’s unleash your full potential at Persistent - persistent.com/careers “Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.

We are looking for an experienced Service Operations Engineer. Responsibilities: • Responsible for planning the server or rack, arranging the server mounting or rack installation, and following up the installation of the server operating system, • Responsible for the daily maintenance, troubleshooting, repair and follow-up break-fix of the server and other hardware, • Maintain data on internal systems including Asset Management, Ticketing, & rack elevations, • Work with remote vendors or junior SOE to solve hardware batch failures and problems, • Oncall on duty, responsible for dealing with the problems raised by the business owner side, • Collect and check online asset data, • Submit and track the part RMA or media destruction process, • Server network troubleshooting, • Server lifecycle management, • Other server operation related work Requirements: • Bachelor’s Degree in Computer science, Electrical engineering or any other relevant fields, • Strong ability to work under pressure; Strong learning ability, broad technical interest; Strong sense of responsibility, full of enthusiasm for work, • Good communication skills in English, Mandarin is preferred, good team work spirit; Ability to work independently, • Knowledge of the interdependencies of data center functions and technologies, • Experience with massive remote OS installation such as PXE boot, • Can understand and run Shell or Python scripts, • Familiar with simple automation tools, such as Ansible, • Familiar with Linux system, able to locate hardware faults; Strong analytical and problem solving skills, • Basic TCP/IP knowledge concepts – Subnetting, VLANs, DNS, Ipv6; Ability to perform general troubleshooting, • Knowledge of out-of-band/lights-out server communication methods, such as IPMI and NCSI, • Strong documentation skills and habits What we offer • Onsite - London, • Full Time Employment; Permanent Contract, • Attractive Remuneration Package, • Career Growth Opportunities, • Skills Enhancement through Udemy Business, • Work in a well-established Multinational Company, • Supportive international team About Centific Centific expertly engineers platforms and curates multimodal, multilingual data to empower the ‘Magnificent Seven’ and enterprise clients with safe, scalable Artificial Intelligence(AI) deployment. Our team includes over 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We leverage an integrated ecosystem comprised of industry-leading partnerships, and 1.8 million vertical domain experts across 230 locales, to create high-quality pre-trained datasets, fine-tuned industry-specific Large Language Models(LLMs), and Retrieval-Augmented Generation (RAG) pipelines supported by vector databases. Our innovations can reduce Generative Artificial Intelligence(Gen AI) costs by up to 80% and bring Gen AI solutions to market 50% faster. Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in Generative AI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by leveraging Generative AI at scale, ensuring they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets. Applying to this job implies your agreement with: In compliance with the applicable data protection regulations (General Data Protection Regulation 679/2016), we at Centific, as data Controllers, inform you that the data collected will be processed to manage your application in the selection process. This processing is legitimized by the consent given upon submitting your application, and the data will be retained for a maximum of two years. You may exercise your rights of access, rectification, deletion, opposition, restriction of processing, and data portability by contacting Furthermore, if deemed necessary, you may file a complaint with the relevant supervisory authority. Your Authentic Self at Centific Centific is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. Centific is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Senior Mobile Engineer (Android) Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us. The team As native engineer in the Product Experience team, you will be responsible for building and maintaining our high-availability, high-transactional Property Detail Pages on the app. You will be part of a multi-functional team of Product Managers, TPMs, Engineering Managers, and Software Engineers based in Gurgaon, Bangalore, and London. We prioritise building high-quality software with a focus on availability, performance, scalability, and system resiliency. Our London team is looking for curious, empathetic, and creative problem solvers with a growth mindset. We value our team culture and work together from the office three times a week. In this role, you will: • Design, build, and maintain advanced Android applications with a focus on scalable architecture and robust performance., • Collaborate with cross-functional teams to deliver high-quality mobile experiences across multiple domains., • Develop and refine APIs, system designs, and data models to enable seamless integration and optimal user experience., • Drive adoption of AI/ML-enabled solutions, ensuring safety, privacy, and improved outcomes for our products., • Mentor and provide technical guidance to other engineers, fostering continuous improvement and best practices., • Evaluate and integrate new technologies, tools, and frameworks to advance the Android platform and support evolving business needs. Minimum Qualifications: • Bachelor’s degree in Computer Science or a related technical field; or Equivalent related professional experience., • 8+ years of relevant professional experience., • Proven experience designing, developing, and supporting Android applications at scale., • Deep understanding of Android system architecture, API design, and data modelling., • Familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products. Preferred Qualifications: • Expertise in architecting, deploying, and operating complex Android applications at organisational scale., • Experience leading technical initiatives and establishing best practices for mobile development., • Demonstrated ability to design and integrate AI/ML-enabled features into mobile applications., • Strong track record of optimising performance, reliability, and security in Android environments., • Experience with full-stack or cross-domain technical problem solving within large-scale, production systems.

We’re hiring a Head of Data Science 🚀 Current Product Status Our AI-powered retail discovery platform is now live on the App Store following beta testing with 2,000+ users. Since full launch just a few weeks ago, we’ve grown to ~1,000 active users. The platform enables two powerful discovery methods: • Natural language search (describe what you’re looking for), • Visual search (upload an image to find similar items) As we scale, visual search is our top product priority. We’re looking for a hands-on technical leader who can deliver across three core areas within six months: • Support and optimize the existing system, • Drive roadmap feature development, • Build and implement production-ready AI systems Primary Requirement: Deep expertise in computer vision Secondary but essential: Conversational AI + data transformation This is not a narrow research role. We need someone with broad AI fluency across: • Generative AI, • Conversational AI, • LLaMA and large model ecosystems, • Data transformation & data engineering, • Production ML systems We work with: • Structured & unstructured retail data, • Labeled image datasets, • Unlabeled conversational history (feedback integration is on our roadmap) You must be comfortable with: • AWS, Python, CI/CD, Terraform, • Production ML pipelines, • Embeddings, transfer learning, teacher-student learning, • Large vision models and optimization for scale Red flags: • Generic “we’ll just improve the model” thinking, • Only knowing basic PyTorch without broader ecosystem knowledge, • No real-world deployment or scalability experience Team Environment • Data science team: 3 (, • Engineering team: 7, • Highly collaborative, execution-focused culture We need someone who can mentor junior team members, guide architecture decisions, and ship. If you’ve built and scaled real-world AI systems, not just research prototypes, please hit the apply button.

Analytics Engineer Remote UK Up to £65000 plus benefits This is an exciting chance to join a growing data function during a major modernisation phase. You will take real ownership of dbt development, help shape a new data platform, and play a key role in building reliable, scalable analytics foundations. The Company They are a digital subscription business operating a two sided online marketplace with a strong global customer base. Data sits at the centre of their product and growth strategy, and they are currently developing a modern cloud based architecture. The data team has been expanding and now includes specialists across data engineering, analytics engineering and data science, creating a collaborative environment built for innovation. The Role You will • Own and develop dbt models following best practice and internal standards, • Optimise and maintain dbt pipelines to ensure stable, high performing transformations, • Oversee releases into production and support robust governance, • Work closely with data engineering, data science and business stakeholders, • Contribute to maturing the data stack and improving how insights are delivered, • Support the development of medallion architecture and wider modelling strategy, • Play a key role in the onboarding and optimisation of a new Databricks environment Your Skills and Experience You will need • Strong commercial experience working with dbt in a production setting, • Solid SQL skills and experience within a modern cloud data stack, • Proven ability to build, optimise and maintain analytics models, • Good understanding of data modelling concepts and Medallion style approaches, • Experience within a digital, online or web based business, • Ability to work collaboratively across technical and non technical teams How to Apply If you are interested in this Analytics Engineer role, please apply with your CV.

🎓 Graduate Software Developer / Quantitative Developer / Quantitative Researcher 📍 Location: London (Hybrid) 💷 Compensation: Up to £200,000 + Bonus + Benefits 🏢 Client: Prestigious Buy-Side Firm 🚀 Kickstart Your Career in Technology & Quantitative Finance Just graduated and ready to launch your career at the intersection of technology, mathematics, and finance? Join an elite global trading firm where innovation drives everything — no legacy systems, no bureaucracy, just cutting-edge tech and world-class mentorship. You’ll work on greenfield projects from day one, collaborating with exceptional engineers, quants, and researchers to build the systems and models shaping the future of global trading. 🔧 What You’ll Do • 🧠 Design and enhance advanced trading systems and analytics platforms, • 📊 Develop and implement your own quantitative models and research ideas, • 🤝 Collaborate closely with top technologists, quants, and portfolio managers, • 🚀 Learn fast, build fast: develop technical and analytical expertise in a performance-driven culture ✅ What You’ll Bring • 🎓 Degree in Computer Science, Mathematics, Physics, Engineering, or another STEM discipline, • 💻 Strong programming skills in Python, C++, Java, C#, or KDB+/Q, • 🔍 Analytical mindset with a passion for tackling complex, data-driven challenges, • ⚡ Curiosity, drive, and the ability to thrive in fast-paced, intellectually demanding environments 🌟 Why Join • 🌍 Greenfield Work: Contribute to high-impact projects from day one, • 🧠 Exceptional Mentorship: Learn from world-class engineers and quantitative researchers, • 🛠 Cutting-Edge Tech: Access the latest tools, infrastructure, and computing resources, • 📈 Fast Career Growth: A meritocratic culture that rewards innovation and initiative If you’re a motivated graduate eager to make an immediate impact in high-performance technology or quantitative finance, we’d love to hear from you. 📧 Apply now or reach out directly:

Leading Backend Developer – AI Security Startup About the Company We are partnered with a fast‑growing, venture‑backed AI startup building next‑generation video intelligence technology. Our platform helps organisations extract real value from their video data, faster, smarter, and with far less manual effort. They've secured over $30M in VC funding, are already generating revenue, and have a strong runway as we scale. The founding team consists of experienced technologists and entrepreneurs with deep backgrounds in advanced robotics, AI, and large‑scale systems. The Role: Leading Backend Engineer We’re looking for a highly capable Leading Backend Engineer to become a key contributor within our core engineering team. You’ll be responsible for architecting, building, and scaling the systems that sit at the heart of our AI‑driven video intelligence platform. In this role, you will: • Build and maintain backend services that ingest, process, and serve large volumes of video and sensor data, • Design scalable APIs and distributed systems that power our frontend and ML pipelines, • Collaborate on shaping infrastructure, architecture, and technical strategy from the ground up, • Solve complex problems involving real‑time processing, distributed systems, and high availability, • Fully own backend and edge functionality with emphasis on architecture, delivery, and cross‑team collaboration You’ll be a great fit if you have: • Strong experience with Golang, Python, or C++, • A strong track record of building scalable backend systems and APIs, • A Computer Science degree or similar (or equivalent experience), • Proven experience working in startups or fast‑moving environments, • Comfort with distributed systems, containers, and cloud‑native infrastructure, • A deep understanding of system performance, reliability, and clean architecture principles What We Offer • Competitive salary with regular performance reviews, • Equity in a rapidly scaling AI company, • High ownership and autonomy over product‑critical components, • Frequent team socials, dinners, and offsites, • The latest tools, tech, and hardware, • A sharp, mission‑driven team solving impactful real‑world problems, • The chance to shape a product at the intersection of AI, security, and real‑time decision‑making If interested, please apply now!

Technical Compliance Manager – Food Manufacturing 📍 London | Hybrid Working 💰 £50,000–£55,000 + up to 10% bonus We’re working with a successful and expanding food manufacturer in London to appoint a Compliance Manager into a newly created role within its senior technical structure. This position has been introduced to enhance compliance capability, strengthen governance, and embed best practice across the business. This is a high-impact role, offering the opportunity to take full ownership of food safety and regulatory compliance while shaping how the organisation approaches audits, risk, and responsible business practices. What’s on Offer • £50,000–£55,000 salary plus up to 10% annual bonus, • Hybrid working arrangement, • 25 days holiday plus bank holidays, • Company pension scheme, • Healthcare benefits, • Retail, wellbeing, and leisure discounts The Position Reporting into technical leadership, the Compliance Manager will act as the central point of authority for all compliance-related matters. You’ll work closely with senior stakeholders and site-based teams to ensure legal, customer, and third-party standards are consistently achieved, while driving a culture of continuous improvement. Key Responsibilities • Champion food safety, legality, and compliance standards across all operations, • Plan, lead, and close internal and external audits, ensuring ongoing audit readiness, • Own and develop core technical systems, including QMS, internal auditing programmes, pest control, and quality reporting tools, • Review and interpret compliance data, complaints, and supplier performance to identify risks, trends, and improvement opportunities, • Lead ethical, environmental, and social compliance activities, supporting broader ESG objectives, • Manage packaging compliance, including EPR reporting and recyclability assessments, • Work collaboratively with operations, supply chain, commercial, and technical teams to resolve issues and improve processes, • Build strong working relationships with customers, suppliers, and regulatory bodies, • Lead, coach, and develop a small Quality and Compliance team About You • Degree qualified in Food Science, Food Technology, or a related discipline, • At least three years’ experience within the food industry, ideally in a compliance or technical leadership role, • Confident and credible communicator, comfortable influencing at all levels, • Previous experience managing or mentoring team members, • HACCP Level 3 +, • Experience with GFSI/BRC standards, ESG frameworks, or technical system implementation would be advantageous If you’re looking for a role where you can truly influence standards, lead change, and make a lasting impact within a progressive food business, we’d be keen to hear from you.

💼 Position: Senior Data Scientist 💵 Salary: £70,000 - £80,000 base + 12% flexible benefits 🌍 Location: London, UK (Hybrid – 3 days in office, 2 remote) An FTSE-listed global FinTech company is looking to hire a Senior Data Scientist in their Trading & Operations function, with deep experience leading high‑impact data science projects end‑to‑end, from problem framing and exploratory analysis through modelling, experimentation and working with MLE. You’ll collaborate with data engineering, platforms, web, messaging, analytics, marketing, risk and product. This is a key senior hire, driven by strong and growing demand for data science across the business. What you'll be doing: • Lead end-to-end data science projects: problem framing, EDA, modelling, experimentation, and working with MLEs to deploy into production, • Apply statistics, A/B testing and causal inference to inform product, growth, commercial and risk decisions, • Work with diverse structured and unstructured data across client behaviour, operations and financial domains, • Build advanced models and data products, including customer and growth models, recommendation systems, gradient boosting & ensemble methods, NLP / text analytics, time-series forecasting, & generative AI use cases, • Monitor model performance and design experiments tied to clear hypotheses, • Translate ambiguous business questions into measurable, actionable solutions, • Coach and mentor junior data scientists, raising the bar on technical quality, delivery and communication What we’re looking for: • 5+ years’ experience applying data science and ML to real-world business problems, • Strong grounding in statistics, experimentation and analytical reasoning, • Proven experience building predictive models and taking them to production, • Ability to communicate complex analysis clearly to non-technical stakeholders, • Comfortable working with imperfect, large-scale data in a fast-moving environment, • Strong Python and SQL skills, • Cloud experience (ideally GCP, but transferable skills welcomed) Nice to have: • Experience in financial services (not essential — support and training provided), • Exposure to marketing analytics or MMM projects, • Master’s level education in Data Science, Machine Learning or a related field What’s in it for you: • Competitive base salary + 12% flexible benefits, • Private medical cover (including family), • Life insurance, • Gym contribution, • 25 days holiday + birthday off + 2 volunteering days (28 total), • Buy/sell holiday options, • Unlimited access to an online learning platform Don't miss out on this incredible career opportunity! Apply now to become part of a dynamic team, or send an up-to-date resume to the details below. +1 212 970 7603

If you need support in completing the application or if you require a different format of this document, please get in touch with at or call TCS London Office number 02031552100 / +44 204 520 2575 with the subject line: “Application Support Request”. Job Title: AI Intern Mode of Working: Are you passionate about building cutting-edge AI solutions and driving innovation in enterprise environments? Join us as an AI Intern Careers at TCS: It means more TCS is a purpose-led transformation company, built on belief. We do not just help businesses to transform through technology. We support them in making a meaningful difference to the people and communities they serve - our clients include some of the biggest brands in the UK and worldwide. For you, it means more to make an impact that matters, through challenging projects which demand ambitious innovation and thought leadership. • Drive innovation at scale by designing and deploying advanced AI solutions for enterprise environments., • Build intelligent systems that deliver impactful, data-driven experiences and enhance business performance., • Shape the future of AI by developing strategies that balance scalability, cutting-edge technology, and sustainability. The Role As an AI Intern, you will play a pivotal role in designing, building, and deploying AI systems within complex enterprise environments. This position requires a strong foundation in full-stack development, combined with hands-on experience in implementing AI/ML solutions. You will leverage your deep understanding of AI technologies, software engineering principles, and cloud platforms to deliver scalable, innovative solutions that drive business impact. Your responsibilities: • Design, develop, and maintain end-to-end AI solutions, including front-end interfaces, back-end services, and data pipelines., • Implement and optimize AI models, ensuring they are scalable, maintainable, and production ready., • Work on GenAI, Agentic AI, and classic ML solutions., • Integrate AI solutions with existing enterprise systems and ensure seamless operation within the client's technology stack., • Work closely with cross-functional teams, including data scientists, software engineers, and business stakeholders, to identify opportunities and deliver robust AI solutions., • Provide technical guidance and mentorship to junior engineers. Lead the implementation of best practices in AI/ML development and deployment., • Stay updated with the latest advancements in AI/ML technologies and contribute to the development of innovative solutions. Your Profile Essential skills/knowledge/experience: • Proficiency in Python and extensive experience with AI/ML/NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK)., • Experience with state-of-the-art LLMs (e.g., GPT series, Llama series, Mistral, Claude), including prompt engineering, fine-tuning, and evaluation., • Hands-on experience with core GenAI frameworks (e.g., LangChain, LlamaIndex) and Agentic AI frameworks (e.g., AutoGen, CrewAI, LangGraph)., • Proficiency in MLOps/LLMOps tools (MLflow, Kubeflow, Docker, Kubernetes)., • Strong working knowledge and practical deployment experience on major cloud platforms (AWS, Azure, GCP), including their AI/ML services., • Strong foundation in software engineering principles for building scalable, maintainable, and production-ready AI systems., • Experience in designing and implementing enterprise-grade AI solutions, including RAG-based solutions with LLMs and vector databases (e.g., Pinecone, Weaviate, FAISS)., • Bachelor's or Master's degree in Computer Science, Engineering, or a related field., • Proven experience in full stack development and AI/ML system implementation within enterprise environments., • Strong grasp of advanced techniques such as complex task decomposition for agents, reasoning engines, knowledge graphs, and autonomous agent design., • Excellent communication and stakeholder management skills., • Experience working on client proposals and leading technical presentations. Rewards & Benefits TCS is consistently voted a Top Employer in the UK and globally. Our competitive salary packages feature pension, health care, life assurance, laptop, phone, access to extensive training resources and discounts within the larger Tata network. We offer health & wellness initiatives and sports events; we are the proud sponsor of the London Marathon. Diversity, Inclusion and Wellbeing Tata Consultancy Services UK&I is committed to meeting the accessibility needs of all individuals in accordance with the UK Equality Act 2010 and the UK Human Rights Act 1998. We welcome and embrace diversity in race, nationality, ethnicity, disability, neurodiversity, gender identity, age, physical ability, gender reassignment, sexual orientation. We are a disability inclusive employer and encourage disabled people to apply for this role. As a Disability Confident Employer, we offer an interview to applicants with disabilities or long-term conditions who meet the minimum criteria for the role. Please email us at if you would like to opt in. If you are an applicant who needs any adjustments to the application process or interview, please contact us at with the subject line: “Adjustment Request” or call TCS London Office 02031552100 / +44 204 520 2575 to request an adjustment. We welcome requests prior to you completing the application and at any stage of the recruitment process.

Data Scientist – Mobility & Operations Intelligence (Contract) London (Croydon) (Hybrid – typically 3 days per week in office) 6–7 Month Contract (Strong likelihood of full-time conversion) Approx. £55,000 annualised equivalent (depending on experience) About Odysse Odysse is a London-based mobility technology company building intelligent fleet orchestration systems for ride-hailing and future autonomous vehicle (AV) networks. Our AI-driven decision systems influence real-world behaviour: Where vehicles move, how cities are served, and how efficiently transportation operates. We are designing the optimisation and data infrastructure that supports both today’s human-driven fleets and tomorrow’s autonomous mobility networks. This is a hands-on applied machine learning role focused on building and improving decision systems that directly influence live fleet operations and contribute to long-term autonomous fleet orchestration capabilities. You will work on logistics optimisation, real-time decision systems, simulation and operational experimentation, applying ML in complex, real-world environments. What You’ll Work On • Build predictive models using geospatial and time-series data (demand, driver behaviour, trip outcomes) and evaluate them using operational business metrics, • Partner with operations and senior team members to translate operational challenges into measurable ML problems and propose appropriate modelling approaches, • Engineer features, analyse large datasets using Python and SQL, and identify useful external data sources, • Design and support experiments contributing to fleet positioning and planning decisions, • Contribute to modelling and simulation work that supports long-term autonomous fleet orchestration and mixed-fleet (human driven + Autonomous Vehicle) operational planning, • Collaborate with operations and engineering to deploy and improve data-driven workflows, • Ideally has 3-5 years’ experience in Data Science / Applied ML / Analytics (years of experience provided as a guide), • Can independently train, evaluate and iterate on models given a clearly defined problem, • Is comfortable with Python (pandas/numpy/sklearn or similar), strong SQL, and relational databases, • Can work with imperfect real-world data and optimise for practical impact rather than just model accuracy, • Experience with time-series or geospatial datasets, experimentation or optimisation problems, • Your models affect physical movement in a city, not just clicks on a screen, • Exposure to real operational decision systems used in live fleet environments, • Opportunity to help build the data and optimisation foundations for future autonomous vehicle networks, • Work across modelling, experimentation and deployment in a product environment shaping next-generation mobility, • Work closely with senior leadership team, with exposure to global corporate partners, interacting with venture capital and strategic funders, on ambitious projects shaping the future of mobility

Data Scientist – Optimisation & Applied Analytics Contract duration: 6months (12months of work road mapped) Day rate: 800 Inside IR35 Location/Hybrid: 2-3 days per week to Heathrow Airport A major global airline, undergoing a multi‑million‑pound data and optimisation transformation, is looking for a Data Scientist to join their high‑performing Decision Support & Optimisation function. This role is end‑to‑end, hands‑on, and deeply embedded in the business. You’ll work at the start of new product builds, shaping and delivering AI‑powered optimisation tools that keep people and aircraft moving efficiently in one of the most operationally complex industries in the world. What You’ll Do • Build and deploy applied statistics, machine learning and optimisation models that support mission‑critical operational decisions., • Work closely with data engineers, understanding their workflows and collaborating to take models from ideation all the way into production environments., • Craft and define optimisation problems from scratch: decision spaces, constraints, objective functions., • Use strong data visualisation and communication skills to influence stakeholders at all levels., • Partner with operational teams to embed tools directly into workflows and measure real‑world impact., • Own delivery end‑to‑end with far better working hours than typical consulting—while still delivering meaningful change. What We’re Looking For Technical Expertise • Degree or Master’s in Maths, Statistics, Data Science, Operational Research, or similar fields., • Strong applied statistics background., • Experience working with messy or complex datasets, • Hands‑on exposure to integer programming, MIP, MILP, and applied optimisation., • Experience with optimisation tools such as CPLEX, MATLAB, OR‑Tools, or similar., • Some exposure to machine learning methods., • Ability to build and industrialise Python‑based data products., • Exceptional communication and storytelling abilities—able to interrogate both data and stakeholders., • Ability to articulate trade‑offs, design decisions and model assumptions clearly to non‑technical audiences. Ready to shape high‑impact optimisation products from day one and see your work take off—literally? Please Apply with an up-to-date CV.

Senior Machine Learning Scientist A fantastic opportunity for a Senior Machine Learning Scientist to work for a health-tech software company developing advanced machine learning models used within clinical research. The organisation applies modern machine learning techniques to complex medical datasets to support better understanding of patient outcomes and treatment response. This is a research-focused role, ideal for candidates who enjoy developing novel deep learning approaches and translating academic research into applied machine learning solutions. You will work on large-scale models and high-performance compute, with the opportunity to publish research while collaborating with engineering teams to ensure work can be taken forward into real-world use. Location: 1 day per week in London, remainder remote (UK based) Salary: £70,000 – £90,000 per annum, with flexibility for the right candidate, plus benefits Requirements for Senior Machine Learning Scientist • Strong experience in research and development of computer vision machine learning models, • Experience implementing state-of-the-art deep learning models in PyTorch, • Experience training large models across multiple GPUs and compute nodes, • Deep understanding of machine learning theory including linear algebra, probability, statistics and optimisation, • Experience with deep learning for computer vision, ideally including 3D imaging and or self-supervised learning, • Strong Python and PyTorch skills, with the ability to read and write high-quality training code, • Experience writing and maintaining production-grade Python code, including optimising training performance, • Experience working with modern development workflows including pull requests, code reviews, documentation and ticketing, • Experience working in cloud environments, • Strong Linux and Git skills alongside modern Python development tooling, • Proactive, self-sufficient and communicative working style, • Strong English written and verbal communication skills, • MSc or PhD in Computer Science or a closely related subject Responsibilities for Senior Machine Learning Scientist • Research and develop advanced deep learning and computer vision models applied to complex medical data, • Work on self-supervised pre-training and supervised learning tasks such as segmentation, classification and regression, • Translate academic research into robust and usable machine learning solutions, • Publish research outcomes in leading conferences and journals, • Collaborate with engineering teams to support downstream deployment and application of models, • Keep up to date with developments in machine learning research and apply them where appropriate What the role offers • A genuinely research-led machine learning position, • Opportunity to publish high-quality research, • Exposure to large-scale datasets and high-performance compute environments, • Hybrid working with a remote-first setup, • Competitive salary with flexibility for exceptional candidates Applications If you would like to apply for this unique Machine Learning Scientist role then please send your CV via the relevant links. We’re committed to creating an inclusive and accessible recruitment process. If you require reasonable adjustments for your application or during the review process, please highlight this by separately emailing (if this email address has been removed by the job board, full contact details are readily available on our website). Keywords: Senior Machine Learning Scientist / Machine Learning Scientist / Research Scientist / Applied Research Scientist / Machine Learning Researcher / AI Research Scientist / Computer Vision Scientist / Deep Learning Scientist / AI Scientist / ML Research Engineer / Python / PyTorch / Deep Learning / Computer Vision / 3D Imaging / Volumetric Imaging / Self-Supervised Learning / Representation Learning / Foundation Models / Segmentation / Classification / Regression / GPU Training / Distributed Training / Multi-GPU Training / High Performance Computing / Cloud Machine Learning / Linux

About the job Who are we and What do we do? ShareChat (Mohalla Tech Pvt Ltd) is India’s largest homegrown social media company and the only local player to achieve profitability in the industry, with 200+ million Monthly Monetizable Users across all its platforms. Founded in 2015, ShareChat has social media brands such as the ShareChat App and Moj App and micro drama app QuickTV under its portfolio. QuickTV, the newest addition to ShareChat's family of apps, crossed the 10 million downloads mark within 3 months of launch and currently has 60Mn MAUs across the network viewing the vertical episodic content. Today, the ShareChat network maintains a whopping 1,000 Cr ARR and is India’s leading social media platform servicing users across the country in 15 regional languages. This growth has led to a 28% YoY revenue growth in the July-Sept (2025-26) quarter and increased it by more than 60% in the Oct-Dec quarter. What does the team do? Serving recommendations to 300+ million users entails developing large scale personalization and recommendation models that understand user needs and preferences in realtime, while also helping creators grow their audiences on our platforms. A subset of the problems we tackle include: • Serving personalized feeds for 300+ million users via real-time candidate generators, multi-task prediction models, whole-page optimization, and in-session personalization., • Nurturing our content and creator ecosystem, and developing models for strategic content valuation. What You’ll Do Within the Sharechat AI team, we are looking for an experienced Staff engineer to lead the engineering efforts around serving personalization models efficiently at scale, leading efforts across 10+ MLEs, SDEs and decision scientists working on feed ranking and candidate generation systems that power Sharechat’s recommender systems. In this role you will help us further improve our recommendation systems in order to drive up user retention and engagement while minimizing server and cloud costs of serving large scale models, and act as a subject matter expert in the recommender systems and ML ranking domains. You would be joining us at an exciting time! The science behind recommendation systems is rapidly changing, and we’re making big progress at a rapid pace. Who are you? • 12+ years of industry experience with a solid understanding of engineering, infrastructure and ML best practices. Strong coding skills with Go or JAVA, • Design and help develop systems that serve recommendations to over 300 million users, • Drive engineering roadmap creation and execution, specifically around feed ranking and recall oriented candidate generation systems, • Provide technical guidance in ranking systems design, implementation & experimentation, and take end to end ownership of ML systems, and key user satisfaction based metrics, • Drive architectural strategy and design for complex ML systems that support the needs of users, creators and content stakeholders, • Familiarity with cloud platforms such as AWS, Google Cloud, or Azure. Knowledge of containerization and orchestration tools like Docker and Kubernetes is a plus., • Experience designing end to end ML data pipelines. Experience with database technologies such as PostgreSQL, MySQL, or MongoDB, Spark, Databricks and stream data processing such as Kafka, RedPanda is a plus., • Direct experience in building and applying large-scale (100M+ users) machine learning solutions for personalizing recommendations., • Hands-on experience building training frameworks and/or serving large-scale models using tools such as Tensorflow or PyTorch is a plus., • You stay up-to-date with the state-of-the-art open source infrastructure solutions applicable to designing and improving large scale recommender systems, data engineering, and machine learning, • You have a Master’s or PhD in Computer Science, statistics, or an engineering field with 5+ years of experience Where will you be? London(Remote) What's in it for you? At ShareChat, our values—Ownership, Speed, User Empathy, Integrity, and First Principles—are at the core of our ways of working. We believe in hiring top talent and grooming future leaders by providing a flexible environment to aid growth and development.

Hiring: Data Scientist – Contract (Inside IR35) Location: Waterside, UK Role Type: Contract Role Title: Data Scientist Role Overview We are looking for a Data Scientist to join a full-stack product squad delivering operations decision-support software. This role focuses on building industrialised optimisation and machine learning models, working end-to-end from problem definition to production deployment. You will collaborate closely with product, engineering, and business stakeholders to deliver high-impact, data-driven solutions. Key Responsibilities • Develop data pipelines, machine learning, and optimisation models in Python, • Build and industrialise ML/optimisation algorithms using best-practice software engineering principles, • Implement automated data cleaning pipelines and workflow orchestration (e.g. Dagster), • Integrate ML/optimisation models into full product stacks (data ingestion, UI, orchestration), • Deploy solutions using CI/CD in a cloud environment, • Build robust logging, testing (unit/regression), and error-handling frameworks, • Analyse adoption, performance, and business value of deployed models, • Engage with business stakeholders to gather requirements and feedback, • Contribute to Agile squad ways of working, code reviews, and technical documentation Required Skills & Experience • Strong knowledge of machine learning and/or optimisation techniques, • (Regression, Tree methods, Clustering, Linear / Mixed-Integer Programming, Heuristics), • Strong Python experience (scikit-learn, pandas, numpy, optimisation libraries), • Experience building production-ready ML or optimisation solutions, • Solid understanding of CI/CD, Git version control, and cloud platforms (AWS preferred), • Strong data engineering skills in Python and SQL, • Experience with automated testing (unit, integration, end-to-end), • Ability to communicate complex technical concepts to non-technical stakeholders Nice to Have • Experience with MLflow, DVC, SageMaker, • Workflow orchestration tools (Dagster / Airflow), • Containerisation (Docker, ECS), • Domain experience in transportation, airlines, operations, or network optimisation Qualifications • Master’s degree in Data Science, ML, Operational Research OR, • 2+ years of highly relevant industry experience, • 0–2 years experience working on production ML/optimisation products at scale

Are you inspired by the potential to help world-renowned technology companies deliver new products and services? Do you have a background in electronics engineering, telecommunications, or science? We’re pioneering a data-driven, artificial intelligence-enabled approach that enables the creation of valuable physical science inventions much faster and more disruptively than ever before. Our inventions are already helping to define the next generation of products and services at companies across the USA, Europe and Asia, such as Sony, Philips, DuPont and Panasonic. All of the world's top 10 technology companies — including Google, Microsoft and Apple — reference our inventions in their publications. What we value in a candidate We are looking for candidates with a background in STEM subjects. If you stand out from your peers, have a broad and intuitive knowledge of engineering and/or physical sciences, we would like to hear from you. We work with our customers at the leading edge of technology and you will be able to substantively demonstrate that you can do the same. Your intrinsic technical knowledge may well stem from your genuine passion and curiosity for technology, and this will extend to your interests and activities outside of work. What you’ll be doing This stimulating role will offer you the opportunity to use your scientific knowledge and creativity in combination with our pioneering software to create landmark inventions that will help define the products of tomorrow, in cooperation with some of the world’s most recognised brands. There is no programming involved in this role, but you will work closely with our software team. The role involves close interaction with clients, delivering invention presentations and software training. Key qualities and skills • A first degree in a physical science or engineering discipline, with high GPA or equivalent., • A certain level of industry experience working in technical consulting, design, product or intellectual property roles, • An ability to demonstrate a deep and intuitive understanding of your domain, and to apply this widely across many fields, • Creative and yet also able to accurately and quickly resolve and document highly complex technical ideas, • A genuine passion for technology, with non-work activities or interests that substantiate this, • An ability to communicate technically complex ideas in a straightforward and understandable way What we offer We offer competitive packages, performance bonuses and a fast-paced role which will challenge you to learn and create at the highest levels of business and engineering. Contributing to the wave front of technology, this role will also give you the unique opportunity to build your own portfolio of patented disruptive inventions which will be attributed to you, the inventor, and owned by our clients' businesses. As we have offices in the UK (London and Cambridge) and in Switzerland (Lausanne) we offer an opportunity to experience. • Skiing and hiking in the beauty of the Swiss Alps within 45 minutes of our Lausanne office, • Buzz and energy in one of the world’s most vibrant capitals at our central London office, • Being at the core of the high-tech scene in our Cambridge office Some of the other great benefits include • Flexible working arrangements, • Convenient central and modern office spaces with perks and amenities., • Conference participation is actively encouraged, together with continuous learning, • And of course an opportunity to join our friendly and fun loving team!

Data Scientist – Hedge Fund (New launch long/short equity) A newly launched long/short hedge fund specialising in the global Industrials sector is seeking a Data Scientist to help shape its data-driven investment strategy. The firm combines fundamental research with advanced data science, building scalable infrastructure where insights directly influence portfolio performance. The Role The Data Scientist will originate and analyse novel datasets, build predictive models, and deliver insights that drive investment decisions. The position involves working closely with investors and engineers to forecast key company KPIs, design real-time dashboards, and develop best-in-class data infrastructure. Key Requirements • Strong Python (pandas, NumPy, scikit-learn; PyTorch/TensorFlow a plus) and SQL skills, • Experience applying advanced analytics or ML to real-world data (finance, fintech, or forecasting contexts ideal), • Proficiency with BI tools (Tableau or similar), • 2–6 years’ relevant experience and a strong quantitative background, • Ability to source and structure new datasets and collaborate across disciplines Opportunity This role offers the chance to make an immediate impact on investment decisions, collaborate with an experienced investment and technology team, and push the boundaries of data-driven investing. As the firm grows, the Data Scientist will have the opportunity to shape and expand its data science capability.

Senior Machine Learning Scientist – AI Computational Biology (Remote, UK) Location: Remote (UK-based, London time zone) Type: Full-time Focus: Genomics, single-cell biology, production ML systems ( RNA-Seq AND WGS) The Opportunity We’re building production-grade computational methods that turn complex biological data into robust, interpretable biomarkers used daily to advance cancer research and drug development. This is not a purely exploratory research role. You’ll take true end-to-end ownership of methods that sit between raw omics data and biological interpretation — designing them, stress-testing them, and running them reliably in production. If you enjoy combining deep machine learning, real biological signal, and strong engineering practices, this role is built for you. What You’ll Do Own production biomarker methods • Design and implement genomics and transcriptomics pipelines (RNA-seq, single-cell, WGS/WES)., • Turn complex molecular data into scalable, reproducible biomarkers with clear assumptions and limitations., • Develop and fine-tune deep learning models for biological representation learning (e.g. single-cell, multimodal data)., • Prototype AI-driven approaches (including LLMs and agentic workflows) for hypothesis generation and interpretation., • Track new approaches from literature and open source., • Implement, benchmark, and critically assess robustness and generalisability., • Drive adoption decisions based on evidence, not novelty. What We’re Looking For Background • MSc / PhD (or equivalent industry experience) in Machine Learning, Computer Science, Computational Biology, Bioinformatics, or related field., • Strong Python skills with experience building complex ML or data-processing pipelines., • Hands-on experience with omics data (single-cell RNA-seq, bulk RNA-seq, WGS/WES, or multimodal genomics)., • Deep learning experience (e.g. transformers, VAEs, contrastive learning, GNNs)., • Familiarity with production-quality practices:, • Version control (Git), • Reproducibility & testing, • Enjoys owning methods long-term, not just publishing or prototyping., • Comfortable working across biology, ML, and engineering., • Able to clearly explain trade-offs to both technical and non-technical stakeholders.

Principal Solutions Architect · AI & Data Permanent | UK-Based | Client-Facing | Hands-On Leadership 2 days per in week in London office / occasional client travel Our client is expanding its AI & Data Practice and looking for a Principal Solutions Architect to lead the design, development, and operationalisation of advanced AI solutions. This is a hands-on, client-facing role spanning conversational AI, automation, MLOps/LLMOps, and AIOps, combining strategic architectural thinking with deep technical leadership to deliver scalable, secure, and high-impact AI capabilities across customer experience, IT operations, and enterprise workflows. What You'll Do You'll shape AI strategy and create high-level designs for enterprise AI and automation solutions, translating complex business needs into production-ready architectures. You'll lead the development of Conversational AI implementations virtual agents, voice assistants, and multi-channel experiences, while implementing LLMOps and MLOps practices to manage the full model lifecycle from deployment through to performance optimisation. You'll design secure integrations using Model Context Protocol (MCP) and Agentic AI frameworks, architect and scale AIOps platforms to enhance IT operations and observability, and collaborate across data science and engineering teams to build seamless AI-driven experiences. This includes providing technical leadership to pre-sales engagements and mentoring teams on AI best practices and responsible AI. What You Bring A strong background in AI architecture with hands-on experience in Conversational AI and LLM platforms, ideally including Amelia or a comparable product. Deep knowledge of LLMOps, MLOps, AIOps, and modern AI engineering practices, with strong programming skills in Python, Java, or similar. Experience with cloud platforms (AWS, Azure, or GCP), DevOps practices, and CI/CD pipelines. Knowledge of database technologies such as Oracle, MSSQL, MongoDB, or DB2, and comfortable working across Linux and Windows environments. Degree qualified or equivalent technical experience. Excellent communication, stakeholder management, and leadership skills, you can articulate complex technical concepts to both engineering teams and senior client leadership. Tech Landscape: Conversational AI · LLMOps · MLOps · AIOps · Amelia · Python · Java · AWS · Azure · GCP · MCP / Agentic AI · Oracle · MSSQL · MongoDB · CI/CD · Linux · DevOps Interested? Get in touch with TechByte Talent for a confidential conversation about this opportunity.

Data Scientist (Sports Analytics | Football Focus) We’re excited to be partnering with a new client – a rapidly growing sports data consultancy that is extending its Data Science team. This is a fantastic opportunity to join a business at the cutting edge of football analytics, where raw data is transformed into actionable insights that drive smarter, evidence-based decisions for clubs, organisations, and partners. With a clear focus on football, you’ll be delivering innovative data science solutions that support performance analysis, recruitment, and strategic planning. The team combines technical excellence with a genuine passion for the game, ensuring insights are both rigorous and impactful. If you’re someone who loves football and wants to push the boundaries of how data can shape the sport’s future, this is the role for you. Key Responsibilities • Apply advanced data science techniques to analyse football data and uncover insights on performance and tactics., • Build models and frameworks to profile teams and players – identifying styles of play, strengths, and weaknesses., • Develop new metrics to evaluate players (e.g. efficiency in ball retention, progressive passing, duel outcomes under pressure)., • Communicate findings effectively to both technical and non-technical stakeholders, including coaches, scouts, analysts, and traders. Skills & Attributes • Strong background in Python, with experience in data manipulation (Pandas/Polars) and statistical modelling., • Industry experience in a data science role focussing on sports analytics., • Knowledge of advanced football metrics (possession value models highly desirable)., • A deep passion for football combined with analytical rigour and strong communication skills for club-facing work. Location: London with hybrid working available Type: Permanent Benefits: Large bonus potential, pension, private medical and free onsite gym. Impact: Work directly with clubs and partners to shape data-driven decision-making in football. Interested? This is a unique chance to join an ambitious consultancy and make your mark in sports data science. If you’d like to know more, get in touch today to discuss this new client opportunity!

Do you want to build production GenAI systems used daily by legal professionals globally? Are you interested in shipping AI products end to end? Are you excited by complex, high-precision problems where quality truly matters? A fast-growing LegalTech AI scale-up is applying GenAI across the full intellectual property lifecycle. Their platform is used by IP teams globally to automate drafting, litigation workflows, and document analysis. With over £50m in funding from institutional investors, and rapid revenue growth into eight figures, the company is scaling aggressively. The role They are hiring AI Engineers to design, build, and deploy production-grade GenAI systems in a high-stakes legal environment. This is a deeply hands-on engineering role focused on shipping reliable systems used by real customers. Key responsibilities • Build and deploy LLM-powered features across drafting, prosecution, and litigation workflows, • Design and maintain RAG pipelines over large, complex legal and technical corpora, • Own systems from prototype through to production, • Focus on robustness, evaluation, and reliability in precision-critical use cases, • Collaborate closely with full-stack engineers and domain experts What they’re looking for • Strong AI research background with top publications or a strong software engineering background, • Excellent production engineering fundamentals regardless of background, • No data-science-heavy profiles, • Comfortable being scrappy and hands-on in a fast-scaling environment, • Ideally 2+ years of experience, but open to exceptional graduates or more senior engineers, • Infrastructure or deployment experience (AWS, Terraform) is a bonus, • Happy working onsite five days per week Tech stack • Python, FastAPI, • React, TypeScript, • Postgres, • AWS, Terraform Compensation & details • up to £185k base + equity (flexible for exceptional profiles), • Visa sponsorship available, • Standard pension, • Five meals per week provided in office, • Location: City of London, • Working policy: in-person, five days per week Interested? Please apply below.

🤖 Junior AI Engineer (0–2 years) | Competitive Salary | London & Luton | Hybrid Working 🚀 Are you a Junior AI Engineer looking to kick-start your career working on real-world machine learning systems used at scale? We’re looking for a curious and motivated Junior AI Engineer to join a collaborative, data-driven technology team, working in a flexible hybrid setup with offices in London and Luton. This role is ideal for someone early in their career who’s excited about applied AI, enjoys building things that go into production, and wants to learn from experienced engineers in a fast-moving environment. You’ll be part of a modern engineering function working on large-scale data and AI products, contributing to model development, data pipelines, and deployment workflows that power mission-critical platforms. 🔍 In this role, you’ll: 🤖 Build, train, and evaluate machine learning models using Python 📊 Work with large, complex datasets to support AI-driven products and insights 🧠 Assist with feature engineering, model experimentation, and performance optimisation ☁️ Contribute to data and ML pipelines in cloud-based environments 🗄 Work with structured and semi-structured data using SQL 🚀 Support the deployment and monitoring of models in production environments 🤝 Collaborate closely with data engineers, software engineers, and product teams 📐 Help maintain best practices around testing, documentation, and reproducibility 🌟 What’s in it for you? 📈 Career Development – Hands-on experience, mentorship from senior AI and data engineers, and clear progression paths 💡 Learning Culture – A team that encourages curiosity, experimentation, and continuous improvement 🏢 Hybrid Working – A flexible mix of remote work and time in London and Luton offices 🌍 Real-World Impact – Work on AI systems used by global customers at scale 💰 Competitive Package – Salary and benefits based on experience, including bonus, pension, and generous annual leave ✅ What we’re looking for: 🎓 A degree in Computer Science, AI, Data Science, Mathematics, Engineering, or a related field 💼 0–2 years of experience in AI, machine learning, or software/data engineering (including internships, placements, or academic projects) 🐍 Strong Python skills for ML and data processing 🗄 Experience working with SQL and structured datasets ☁️ Familiarity with cloud platforms and modern data stacks 🧠 A solid understanding of machine learning fundamentals and data workflows 💬 Strong communication skills and a collaborative mindset ⭐ Big bonus points for: ❄️ Experience with Snowflake 🧱 Experience with Databricks ⚙️ Exposure to ML pipelines, MLOps, or production ML systems If you’re excited about building AI systems, learning fast, and growing your career in a supportive, high-impact environment, we’d love to hear from you. 👉 Apply now and take the next step in your AI engineering career.

The Challenge Cardiometabolic conditions will impact 80-90% of people throughout their lifetimes, representing the leading cause of death globally and an important risk factor for neurodegenerative diseases and cancer. Sustainably addressing these diseases requires breakthrough therapeutics, AI/ML innovation, and transformative business models that translate clinical outcomes into economic value. The Opportunity This is an opportunity to build the ML and AI foundations of Onsera Health's breakthrough healthcare platform. Backed by Population Health Partners (PHP)—the proven venture platform behind Metsera and Corsera Health—we're building the future of population health management. As a Senior Machine Learning Engineer, you will sit at the intersection of data science, platform engineering, and production systems. Your mission is to design and operate the foundations that allow ML, analytics, and agentic AI systems to move safely and reliably from experimentation into regulated healthcare production environments on Google Cloud Platform. You will be the primary interface between Data Science and Platform Engineering, enabling rapid iteration while enforcing production and compliance standards. Responsibilities • Design and implement Onsera's agentic AI platform – architect LLM/agent framework selection, standardized patterns for tools, memory, guardrails, evaluation, and observability, • Define MLOps protocols for agentic systems – environment separation, versioning of prompts, tools, and policies, cost controls, rate-limiting, and fail-safe mechanisms, • Bridge data science and platform engineering – translate experimentation needs into GCP infrastructure, scalable compute patterns, and reproducible development environments, • Productionize data science code – convert research-grade notebooks into tested, modular, production-grade Python services, batch and streaming pipelines, and scheduled workflows, • Build production-grade data pipelines – develop idempotent, observable, and cost-efficient pipelines using BigQuery, Airflow, Google Workflows, and Cloud Run, • Implement CI/CD for ML workloads – automated validation, monitoring, rollback strategies, and model lifecycle management, • Mission-driven work addressing critical public health and healthcare economics challenges, • Ground-floor opportunity to build the ML/AI infrastructure for a breakthrough healthcare platform, • Partnership with a world-class team of industry leaders, innovators, technologists, bioscientists, and clinicians from PHP and beyond, • A fast-paced, dynamic, and highly collaborative work environment, • Competitive salary and benefits package, including participation in our equity program Minimum Qualifications • 5+ years of experience in machine learning engineering, data engineering, or a related field, • Strong Python engineering skills with production-quality, typed, and tested code, • Track record productionizing ML models in batch and/or real-time environments, • Hands-on experience with analytical data warehouses (BigQuery or equivalent) and workflow orchestration (Airflow or similar), • Experience deploying ML systems on GCP, including Cloud Run, GCS, and IAM, • Infrastructure-as-Code experience (Terraform or equivalent), • Experience with feature engineering, model lifecycle management, and ML evaluation, • Experience with LLMs, agent frameworks, or AI orchestration systems in production, • Familiarity with prompt management, tool calling, evaluation, and AI safety patterns, • Healthcare or regulated-industry experience, including familiarity with HIPAA or SOC-2 compliance, • Experience with claims data, EHR-derived datasets, or real-world evidence We are an early-stage health AI company revolutionizing cardiometabolic care and population health economics connected to weight loss. Our unique position within the PHP ecosystem provides: • Venture track record: A proven track record of success in building biotech and healthcare companies, • Deep capital: Funding and resourcing to support deep tech and scientific R&D—and to drive growth, • Strategic guidance: Direct access to industry pioneers (including founders of The Medicines Company and Metsera), healthcare experts (including leaders in virtual care, former FDA commissioners), strategists (McKinsey/QuantumBlack alumni), and world-class scientific talent, • Expert network: Established connections across pharma, payers, and providers Population Health Partners (PHP) is a premier investment firm established in 2020, aimed at transforming health outcomes for large populations. With offices in New York and London, PHP combines financial resources with industry-leading capabilities and technology. The firm's incubation portfolio includes Metsera and Corsera Health. Leadership: Led by industry veterans including Clive Meanwell (The Medicines Company), Chris Cox (The Medicines Company), and Whit Bernard (Metsera), bringing decades of founder experience and operational excellence in biopharma and healthcare, and Roy Berggren, 30+ year McKinsey Healthcare leader.

Job Title: Data Engineering Manager Job Type: Full Time, Permanent Location: London, Hybrid (3 days in the office a week) Role Purpose At Travelex we are developing modern data technology and data products. Data is central to the way we define and sell our foreign currency exchange products. Our relationship with our customers is deeply data-driven. The data engineering manager (DEM) owns the design and delivery of all data flows to and from our data platform, underpinning crucial data products. The DEM is responsible for a significant transformation Travelex is going through, with event-driven and transactional enhancements to our enterprise data architecture, alongside expansion of our data warehousing function to support a wide range of data integrations. Main Responsibilities: Leadership & Strategy • Work with the Director of Data Engineering and IT Leadership to enhance the company's data maturity., • Maintain strong business alignment by engaging with leaders across domains and geographies., • Ensure data engineering initiatives match evolving business priorities., • Promote a product mindset, balancing technical efficiency with clear business value. Team Management • Lead the Data Engineering team, providing supervision, coaching, and professional development., • Work with the Data Delivery Manager to improve team productivity and velocity., • Oversee planning sessions, standups, retros, and team meetings., • Define and deliver technical goals & OKRs in collaboration with the teams. Technical Leadership • Own the architecture of the company's data platform, ensuring scalability, reliability, and security., • Drive modernisation by transitioning from legacy systems to a lean, scalable platform., • Act as a lead expert for technologies such as AWS, DBT, Airflow, and Databricks., • Establish best practices for data modelling, ingestion, storage, streaming, and APIs. Governance & Standards • Ensure all technical decisions are well-justified, documented, and aligned with business needs., • Lead reviews and approvals for Data Engineering, Data Science, and Data Visualization projects via data architecture review board., • Promote best practices in data governance, security, data protection, and risk management. Operational Excellence • Oversee monitoring of live data products and lead response to data incidents., • Drive improvements in data quality, working with data owners and managers., • Collaborate with engineering teams to ensure seamless system integration., • Advocate for reducing technical debt while balancing resource constraints. Innovation & Continuous Improvement • Stay updated with industry trends and recommend relevant technologies., • Lead analysis, assessment, and design activities, influencing key decisions., • Foster collaboration with data analysts and data scientists to develop impactful data products. Requirements – Skills and Experience To qualify for the DEM role, experience and skills from the list below are required. Essential: • Strong leadership: An inspirational leader, engaging team player, and curious listener., • Excellent problem-solving skills with experience in complex data products., • Expertise in data engineering and cloud engineering, including data ingestion, transformation, and storage., • Significant hands-on experience with AWS and its data services., • Expert-level skills in SQL, Python, DBT, Airflow and Redshift., • Confidence in coding, scripting, configuring, versioning, debugging, testing, and deploying., • Ability to guide and mentor others in technical best practices., • A product mindset, focusing on user needs when designing deliverables., • Experience in designing technology solutions with complex end-to-end data flows., • Experience in implementing data governance, including data cataloging, data lineage tracking, and metadata management to ensure data accuracy, accessibility, and compliance. Preferred: • Experience with Databricks, • Understanding of how data platforms interact with marketing and customer engagement platforms., • Knowledge of service-oriented architecture, including exposing and consuming data via APIs, streams, and webhooks., • Good understanding of security and data protection best practices., • Familiarity with compliance and regulations, such as GDPR, PCI and FCA., • The flexibility to adjust your delivery approach to business needs, including mixing elements of Kanban, Scrum, Lean and our own custom practices., • The passion to stay up-to-date with the latest advancements in your field, exploring new tools and methodologies., • The curiosity to understand the business, its requirements and culture., • Your own unique style or way of working, which will make our team diverse and original. Why Travelex? To remain the world’s leading foreign exchange specialist, we are focused on making our customers’ lives simpler, more engaging and hassle free while they travel or move money abroad. We promise to give them the freedom and peace of mind to explore the world, their way – enabling them to travel confidently because they know they have us to lean on. Customer centricity and digital are at the heart of our business strategy. Our commitment to innovation has never been greater, with the development of several digital-first, greenfield products and services. And with the Travelex's resources, deep industry experience and leading brand we are inventing the future of FX, cross-border e-commerce, and international payments. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Head of Engineering / VP of Engineering I’m working with a fast-growing AI company at the forefront of real-time market intelligence, supporting some of the world’s leading financial institutions. They’re now looking for a Head of Engineering (or VP of Engineering) to lead their next stage of technical and team scale-up. This is a strategic and hands-on leadership role, combining technical vision, team growth, and delivery across products powered by LLMs, forecasting models, and scalable API platforms. Key Responsibilities • Own the technical strategy and execution across the company’s core products, including real-time APIs, data pipelines, and LLM-powered analytics., • Collaborate closely with Product and Data Science to deliver a forward-thinking technology roadmap., • Lead, mentor, and scale a high-performing engineering team (currently ~10), nurturing a culture of ownership, speed, and technical excellence., • Make key architectural decisions, ensuring system scalability and data infrastructure performance., • Maintain high engineering standards while remaining close to critical technical choices., • Recruit top talent and build a strong, inclusive team culture., • Oversee DevOps, InfoSec, and internal IT, ensuring smooth and secure operations., • Sit on the leadership team and act as a key bridge between engineering, product, and commercial. What I’m Looking For • 8+ years of engineering leadership within B2B SaaS, ideally in AI/ML or data-focused environments., • Experience growing teams through start-up to scale-up (Series A/B); time in both early-stage and mature environments is a bonus., • Strong technical foundation in Python, distributed systems, cloud infrastructure (Azure preferred), and modern scalable architectures., • Solid grasp of Agile practices, continuous delivery, and high-performing lean teams., • People-first leadership style, with a proven ability to build and nurture high-performing teams., • Exposure to machine learning, NLP, or financial data products is highly advantageous.

AI Developer – Robotics & Autonomous Systems Mid–Senior Level | Permanent | London (On-site) A cutting-edge technology company developing advanced autonomous systems is looking for an AI Developer to join its growing team in London. This role sits at the intersection of machine learning and robotics, focused on building intelligent decision-making and control systems for real-world platforms. You’ll be working closely with engineers and researchers to develop AI that operates reliably in complex, changing environments. The Role You’ll be responsible for designing and implementing probabilistic and machine learning models that support navigation, planning and adaptive control. A key part of the position will involve integrating these models into real robotic systems and ensuring they perform effectively outside of simulation. The team is highly technical and collaborative, so you’ll be involved not just in development, but also in shaping system architecture and contributing to longer-term technical direction. Key Responsibilities • Develop probabilistic and machine learning models for decision-making and control, • Build and refine navigation and planning systems, • Integrate AI algorithms into real-time robotic platforms, • Optimise models for embedded and edge hardware, • Analyse real-world system data to improve reliability and performance, • Contribute to broader AI system design and architecture decisions Requirements Essential: • Master’s or PhD in Computer Science, Robotics, Machine Learning or a related field, • Strong Python and C++ skills, • Experience with frameworks such as PyTorch, TensorFlow or JAX, • Experience working with robotic systems or autonomous platforms, • Familiarity with SLAM, path planning or multi-agent systems, • Knowledge of ROS/ROS2 or robotics simulation tools, • Understanding of control systems and sensor fusion, • Experience deploying models to embedded or real-time systems If you would like to discuss this opportunity in more detail, please get in touch for a confidential conversation. Oscar Harper IC Resources

This role is with one of Dex’s trusted Partner companies. We work closely with their teams to truly understand their culture, goals, and what they’re looking for, so we can match you with the right opportunity for your goals! If you’re interested, apply here, or head to the website, where you can sign up and speak to Dex. After your call, you'll be sent the full match details. We’ll help manage your applications, and find other great matches to work you'll love. The Opportunity Dex is partners with some of the world’s most prestigious quantitative trading firms and systematic hedge funds. These organizations operate at the absolute bleeding edge of technology, treating the global financial markets as a complex data science problem. They are deploying massive compute clusters and proprietary machine learning models to trade billions of dollars daily. If you're an engineer who cares about nanoseconds, cache locality, and architecting petabyte-scale infrastructure, this is the pinnacle of technical challenge. What You’ll Work On • Architect Low-Latency Infrastructure: Design and implement the critical path for trading execution, building order management systems and market connectivity layers where performance is measured in microseconds., • Scale Data Pipelines: Engineer elegant, distributed systems capable of ingesting and processing petabytes of market and alternative data, ensuring absolute consistency for research teams., • Operationalize Machine Learning: Bridge the gap between research and production by deploying complex ML models into live environments under strict latency constraints., • Optimize the Stack: Go "close to the metal" to optimize performance across networking, I/O, and compute layers, squeezing maximum efficiency out of hardware., • Build World-Class Observability: Create robust monitoring and telemetry systems to provide real-time insights into pipeline health, trading activity, and model behavior., • Work with the Best: Work side-by-side with world-class researchers and mathematicians to translate theoretical strategies into production-grade code. What You'll Have • Polyglot Mastery: Exceptional command of at least one major systems language (C++, Rust, Java) for low-latency components, or Python for data and ML workflows., • Distributed Systems Expertise: Deep experience building high-throughput, fault-tolerant systems using modern messaging standards (e.g., Kafka, ZeroMQ, NATS)., • Systems-Level Intuition: You are comfortable debugging and profiling at the OS level, understanding memory management, CPU architecture, and network stack optimization., • Data Infrastructure: Familiarity with the modern data stack, including time-series databases, object stores, and streaming frameworks like Apache Flink or Spark Streaming., • Engineering Rigor: You write clean, testable, and reliable code. You understand that in this environment, a system failure can cost millions in seconds., • Bonus - ML Engineering: Experience with model serving, feature stores, or integrating ML pipelines into live production systems is highly valued. (Note: Previous finance experience is not required). To be considered for this role and others like it apply directly, or sign up to Dex and we'll help find the work that matters to you!

About the Opportunity This is a unique opportunity for a Data Engineer to work at the intersection of cutting-edge technology and elite sports performance. You’ll join a collaborative, high-standard engineering team with a culture built around creativity, innovation, and excellence. In this role, you’ll play a key part in designing and developing scalable data pipelines and infrastructure that directly impacts decision-making at the highest levels of the football world—including performance insights for some of the most well-known footballers in the industry. This is the perfect environment for those passionate about leveraging advanced data engineering to drive real-world results in sports analytics. Key Responsibilities • Architect, design, build, test, and maintain scalable and high-performance data pipelines, • Ensure all systems adhere to best practices for data quality, integrity, and security, • Integrate modern data engineering tools and technologies into cloud-native infrastructure, • Develop tools and solutions to support sports data modeling, analytics, and predictive insights, • Collaborate with data scientists to enable end-to-end data workflows, • Own the architecture and maintenance of a GCP-based data lake/lakehouse environment Your Background • 4+ years of industry experience in Data Engineering roles, • Advanced-level Python for data applications and high proficiency in SQL (query tuning, complex joins), • Hands-on experience designing and deploying ETL/ELT pipelines using Google Cloud Dataflow (Apache Beam) or similar tools, • Proficiency in data architecture, data modeling, and scalable storage design, • Solid engineering practices: Git and CI/CD for data systems Highly Desirable Skills • GCP Stack: Hands-on expertise with BigQuery, Cloud Storage, Pub/Sub, and orchestrating workflows with Composer or Vertex Pipelines., • Domain Knowledge: Understanding of sports-specific data types (event, tracking, scouting, video), • API Development: Experience building data-centric APIs using FastAPI, especially in serverless environments (e.g., Google App Engine), • Streaming Data: Familiarity with real-time data pipelines and data ingestion at scale, • DevOps/MLOps: Exposure to Terraform, Docker, Kubernetes, and MLOps workflows What They Offer • A chance to work on real-world data that impacts elite football performance, • Access to high-value datasets, sports science teams, and cross-disciplinary experts, • A flexible hybrid working model (1 day per month in the London office), • The opportunity to grow within a digital-first team at a world-renowned football club, • The satisfaction of applying your engineering skills in an environment where your work directly influences results on the pitch

Senior Data Scientist – Personalisation London – Hybrid Up to £65,000 About the Role We’re working with a growing fintech organisation that’s redefining how people save and invest. Their mission is to make financial wellbeing simple, transparent, and accessible - helping customers feel confident about their money through technology, insight, and great user experience. As a Senior Data Scientist, you’ll focus on customer analytics and applied data science - using data to understand behaviour, identify opportunities, and guide strategic decisions across marketing, product, and personalising customer experience. Key Responsibilities • Translate business challenges into analytical questions and deliver data-led insights that drive customer growth and retention., • Analyse customer behaviour, lifecycle patterns, and engagement to uncover opportunities for product and marketing optimisation., • Develop and maintain advanced analytical models to forecast customer outcomes and measure impact., • Present clear, data-driven recommendations to senior stakeholders, influencing strategy and decision-making., • Work closely with Data Engineering and BI teams to ensure data quality, accessibility, and scalability across the organisation. What We’re Looking For • Strong analytical foundation with experience applying statistics and data science in a commercial setting., • Proven track record in customer or marketing analytics - understanding acquisition, engagement, churn, and lifetime value., • Proficiency in Python (Pandas, NumPy, Scikit-learn, Statsmodels) for data wrangling, analysis, and modelling., • Ability to communicate complex findings in a clear, business-relevant way., • Experience working collaboratively in agile, cross-functional teams. Please note: Unfortunately this role cannot offer sponsorship.

Title: Head of Data Science (GenAI) Location: London (Hybrid) Salary: £170,000 DOE + Bonus/Benefits Industry: Lloyd’s Market Insurance A high-performing, forward-thinking Lloyd’s market insurer is seeking a Head of Data Science (Generative AI) to lead the next phase of its AI-driven transformation. This is a rare opportunity to shape enterprise-wide GenAI strategy within a top-quartile performing insurer that is investing heavily in digital trading, underwriting augmentation and intelligent automation. You’ll operate at senior leadership level, partnering with Underwriting, Actuarial, Technology and Executive stakeholders to embed AI at the core of risk selection, pricing optimisation and portfolio performance. Responsibilities: • Define and execute the enterprise GenAI and advanced analytics strategy, • Build and lead a high-performing Data Science team, • Develop AI-driven solutions enhancing underwriting decision-making, risk appetite alignment and technical pricing, • Drive Digital Trading innovation, including broker data intelligence and automation across the Digital-Follow channel, • Partner with Data Engineering to ensure scalable Azure-based data pipelines and model deployment, • Present insights and strategic recommendations at ExCo and Board level, • Establish best-in-class governance, validation and model risk frameworks Experience: • Proven experience leading and scaling Data Science teams, • Strong background in ML / AI, ideally including Generative AI applications, • Deep expertise in Python and modern ML frameworks, • Experience delivering models that directly impact underwriting, pricing, and profitability, • Strong stakeholder engagement skills — able to translate complex modelling into commercial strategy, • Familiarity with Azure (Data Factory, SQL, Synapse, Power BI) highly advantageous, • Insurance or Lloyd’s market experience preferred, • Strong academic background in a quantitative discipline Why This Role? • Strategic, business-facing leadership position, • Significant investment in AI and digital transformation, • Highly collaborative, underwriting-led culture, • Competitive package: £170k DOE + strong bonus + excellent pension & benefits, • Hybrid London working model

Autonomy & Geospatial Systems Integration Engineer Location: London, UK or Linköping, Sweden Industry: Aerospace / Defence / ISR / UAV Systems Employment Type: Full Time Overview: A leading innovator in spatial intelligence and mission-critical technology is seeking a Software Integration Engineer to join its Mission Systems team. The organisation builds advanced geospatial, AI-powered, and ISR solutions that integrate into platforms such as UAVs, edge computing systems, and defence environments. This is a hands-on, customer-facing engineering role for someone who enjoys solving complex integration challenges, working with cutting-edge sensor data, and enabling real-world impact in mission environments. You will work at the intersection of software, embedded systems, payload integration, and customer operations, supporting the deployment of next-generation spatial intelligence tools into UAV and ISR ecosystems. Key Responsibilities: • Serve as the technical lead for solution integrations involving satellite imagery, full motion video, and related sensor data into UAV visual positioning, odometry, and navigation systems., • Collaborate with UAV OEMs, defence integrators, and mission customers to support system demonstrations, prototyping, and field testing., • Conduct bench and field integration activities, including configuration of companion computers (e.g., NVIDIA Jetson, Raspberry Pi), autopilot stacks (PX4, ArduPilot), and analysis of telemetry, imagery, and navigation data., • Assess integration feasibility, including SWaP considerations and solution design, ensuring successful deployment in demanding environments., • Develop integration procedures, test plans, troubleshooting documentation, and technical guides., • Provide feedback to internal engineering teams to enhance product performance, usability, and reliability under operational conditions., • Contribute to technical materials for RFP/RFI responses and solution proposals., • Collaborate with internal product, engineering, and field teams to define interfaces, data flows, and integration paths between software products and OEM systems., • Support the technical articulation and positioning of capabilities to high-value customers. Minimum Qualifications: • Bachelor’s degree in a STEM field (Aerospace, Computer Science, Electrical/Mechanical Engineering, Mathematics) or equivalent practical experience., • Experience supporting ISR, UAS, aerospace, or defence system integrations., • Strong proficiency in Python and C++ for integration, SDK adaptation, and prototype development., • Experience with ISR-relevant imagery/video formats: GeoTIFF, MPEG-TS, KLV metadata, H.264/H.265, STANAG 4609, MISB., • Understanding of 3D terrain formats (DEM/DTED, 3D Tiles) and coordinate systems such as WGS84, UTM., • Familiarity with frameworks/tools such as OpenCV, PyTorch, GDAL, Cesium, Unity., • Practical knowledge of embedded Linux systems (Jetson, Raspberry Pi, NXP)., • Demonstrated ability to work cross-functionally across product, engineering, and field teams., • Ability to travel domestically or internationally (approx. 25%, occasionally up to 50%). Preferred Qualifications: • Master’s degree in Engineering, Computer Vision, Software Engineering, or related field., • Experience with embedded Linux tools/configurations: systemd, Yocto, Docker., • Knowledge of GNSS/INS, video odometry, or visual-inertial fusion systems., • Experience with UAV systems, including configuration, tuning, and troubleshooting with autopilot interfaces., • Familiarity with OGC geospatial standards (WMS, WMTS, WFS) and real-time streaming protocols., • Experience with data transport frameworks such as ZeroMQ, Protobuf., • Hands-on experience building or modifying companion computer architectures (Jetson, Raspberry Pi, STM32MP1)., • Background in AI/ML for computer vision, sensor fusion, or ISR analytics., • Experience performing technical feasibility assessments for mission-critical or edge-deployed systems., • Valid UK or EU security clearance is a bonus. About the Organisation: The company operates at the forefront of geospatial technology, 3D modelling, and mission-focused intelligence solutions, serving telecommunications, emergency response, defence, and intelligence customers globally. Their mission is to help operators and decision-makers understand the world in real time with highly accurate, immersive geospatial and sensor-driven insights. Application Process: To apply, please submit your CV detailing your relevant experience and qualifications for the role. Applications will be reviewed on a rolling basis, so early submissions are encouraged. Equal Opportunity Employer: We value diversity and are committed to creating an inclusive work environment. We encourage applicants from all backgrounds to apply. Contact: ___

Introduction to Team The Product Team creates high-quality end-to-end experiences for travelers, partners, and Expedia Group. Our focus on customer-centric innovation enables us to develop products that build loyalty and repeat business. We partner closely with teams across Expedia Group to drive growth and achieve results for our customers and the company. This Principal iOS Engineer sits within the Search and Recommendations Experience team which owns the end-to-end search and recommendations experience, including search entry, results, maps, filters, and recommendations across multiple lines of business such as lodging, cars, activities, flights and packages. In this role, you will provide technical leadership for native search and discovery experiences, setting architectural direction, influencing engineering standards, and shaping the evolution of AI-enabled capabilities across the mobile platform. In this role, you will: • Lead the design, development, and maintenance of advanced iOS applications, ensuring high performance, quality, and responsiveness across Expedia Group’s product suite., • Architect and implement robust, scalable system and API designs, including effective data modelling to support complex business requirements., • Drive cross-functional collaboration to define, develop, and ship impactful features, ensuring alignment with organisational goals and technical strategy., • Champion best practices in software engineering, testability, and maintainability through code reviews and mentoring., • Safely integrate and operate AI/ML‑enabled solutions to enhance user experience and improve operational outcomes., • Troubleshoot, optimise, and resolve complex technical issues, contributing to the continuous improvement of services and domain capabilities. Minimum Qualifications: • Bachelor’s degree in Computer Science or a related technical field; or equivalent related professional experience., • 12+ years of relevant professional experience., • Demonstrated experience owning the full lifecycle of iOS services or features within a multi-service or domain environment., • Proficiency in Swift, Objective-C, and iOS frameworks, with a strong understanding of system and API design principles., • Familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products. Preferred Qualifications: • Experience architecting scalable, complex, modular, and maintainable iOS mobile architectures, leveraging common design patterns such as MVVM or VIPER, • Advanced proficiency in SwiftUI - Skilled in multi-threading, concurrency, and performance optimisation, • Prior experience in the search domain or travel industry, such as building or scaling search, discovery in consumer mobile apps., • Experience establishing technical strategy, best practices, and operational excellence for organisational mobile platforms., • Advanced knowledge of integrating AI/ML capabilities into mobile products to enhance functionality and user engagement., • Demonstrated experience collaborating within large, globally dispersed development teams, • Expertise in cross-platform or multi-domain engineering, contributing to broad technical initiatives.

This role can be based on a hybrid working model from any one of our Egis offices in London, Manchester, Bristol. Potential for other locations to be considered based on business requirements and the Egis office location. Company Description Egis is a global consulting, engineering and operations group delivering intelligent, sustainable and resilient infrastructure solutions across more than 100 countries. With over 20,500 employees, we support clients in addressing the climate emergency and enhancing environmental performance. In the UK, we are actively involved in nationally significant programmes across the transmission and distribution (T&D), energy, water and transportation sectors, where environmental excellence and robust consenting strategies are central to project success. Job Description This role can be based on a hybrid working model from any one of our Egis offices in London, Manchester, Bristol. Potential for other locations to be considered based on business requirements and the Egis office location. We are seeking a Consultant – EIA & Consents to join our expanding Environment team. In this role, you will contribute to environmental assessments and consents for major infrastructure projects across the T&D, energy, water and transportation sectors. You will work collaboratively within multidisciplinary teams, supporting planning submissions, regulatory engagement, and delivering high-quality environmental reporting aligned with complex stakeholder and sector expectations. Mission As a Consultant, you will support the successful delivery of EIAs, environmental planning tasks and consenting strategies across major infrastructure programmes. You will help ensure environmental risks are understood, mitigated and communicated effectively while supporting multidisciplinary teams and client decision-making. Key Responsibilities • Contribute to EIAs including screening, scoping and ES chapter drafting across T&D, energy, water and transportation projects., • Undertake environmental baseline research, constraints analysis and impact assessments., • Coordinate specialist inputs (air quality, noise, biodiversity, landscape, water environment, climate) and ensure alignment., • Support preparation of DCO, TCPA or sector-specific planning submissions for linear and major infrastructure schemes., • Assist in development of mitigation strategies and environmental risk registers., • Engage with stakeholders including local planning authorities, regulators and community representatives., • Contribute to consultation materials, technical workshops and project reporting., • Maintain project documentation, QA processes, schedules, risk logs and deliverables., • Support bid writing, fee proposals and the development of project scopes., • Actively participate in team knowledge sharing and capability building. Qualifications • Understanding of EIA Regulations, environmental legislation and planning frameworks. Ability to analyse data and contribute to robust technical assessments. • Strong communication and writing skills for technical and non-technical audiences., • Organisation and time management to support delivery across multiple projects., • Ability to work in multidisciplinary teams and contribute proactively., • Interest or experience in T&D, energy, water or transportation sector environmental issues. Qualifications & Experience • Degree in environmental science, planning, engineering or related discipline., • Experience supporting EIAs or environmental planning projects within consultancy or regulated industries., • Working knowledge of planning policy and environmental legislation., • Progress toward professional membership with IEMA, CIEEM, CIWEM or RTPI is encouraged. Additional Information We are committed to our planet In each project we design, engineer and operate we care deeply about the legacy we’re leaving behind. As part of our team, you’ll have a unique opportunity to use your skills and expertise to shape a better future for our communities in the UK, and all around the globe. Our commitment is translated in the work carried out by our Egis Foundation, which funds concrete actions to address the climate crisis and is focused on educational and social initiatives that will help in the responsible and sustainable shift towards a sustainable world. We are an Equal Opportunities employer and we strive to build a workforce that truly reflects the communities we represent. We welcome candidates from all backgrounds, regardless of age, disability, gender, gender identity, gender expression, race, religion or belief, sexual orientation, socioeconomic background, and any other protected characteristic. If you decide to apply for an opportunity with us, your application will be assessed based purely on your experience, the essential and desirable criteria, and your suitability for the role. We value each and every one’s contribution as this builds our culture and means that if you work with us, you will be included, listened to, and respected.

About PRODA At PRODA () we are building software to unlock the full potential of Real Estate Data no matter the asset class, language, or country of origin. Our solution leverages the latest technologies to automatically capture, standardise and quality check Real Estate data into a single, clean source of truth. The goal is to empower real estate professionals to quickly gain actionable insights from their data and to enable the effective use of software. Despite being the biggest asset class in the world, the commercial real estate industry relies on excel & PDF “Rent Roll” documents as the primary means of exchanging data. These files are frequently inconsistent, inaccurate, and inaccessible, posing challenges for real estate professionals. Through automated data capture, standardisation, and analysis, PRODA can: · Build repositories of clean, standardised data · Increase process efficiency, through faster report generation · Improve data-driven decision making, by ensuring the accuracy of input data Furthermore, PRODA easily integrates with existing systems, to ensure consistent dataflow through the whole organisation. Founded in 2017 by Charles and Peter, two former Real Estate Finance Investment professionals, PRODA is now 66 people strong, and is looking to expand rapidly following a successful Series A raise in Q2 2022. PRODA has a strong globally recognised client base with an even better sales pipeline. We are looking for you to join us on our exciting journey delivering best-in-class software to the Commercial Real Estate market globally. Role We are looking for a Software Engineer to join the team at PRODA that works on the automatic extraction, classification, standardisation and validation of financial data documents in commercial real estate. We encourage candidates of all experience levels to apply, including recent graduates and those with several years of relevant work experience. Responsibilities • Develop flows for extraction of data from financial documents in PDF and Excel formats., • Work with a generalised data model, and a process to convert extracted data into that using standardisation and validation steps., • Drive the development of automation with a focus on enhancing speed, accuracy, and applicability., • Stay abreast with emerging technologies and industry trends in financial data reporting and requirements of clients., • Clearly and concisely communicate findings and recommendations to both technical and non-technical stakeholders. Required Skills & Qualifications • Bachelor’s degree in computer science, mathematics, physics or another relevant STEM discipline., • Proven experience in solving complex problems, ideally in data extraction and modelling., • Comfortable solving problems at every level, from algorithms and data structures to system design., • Expertise in Python., • Experience of full-stack development., • Ability to work independently as well as part of a collaborative team., • Strong project management skills with the ability to meet deadlines. Preferred Skills & Qualifications • Experience with TypeScript and React., • Experience with cloud platforms. What We Offer • Opportunity to learn and grow in a fast-paced, cutting-edge environment., • Access to the latest technology and tools to make you productive, including the latest MacBooks, along with AI tooling., • A supportive environment with a focus on professional development and growth., • A culture that values simplicity and efficiency in solving problems and delivering solutions. Working at PRODA As a rapidly growing SaaS business, life at PRODA is fast-paced and collaborative. Our day-to-day work is solving interesting problems using smart technologies, and we pride ourselves on an environment where we can rapidly develop new skills, learn from each other, and truly see the impact of our work. We believe that our product is transformative, and we work hard to ensure it reaches its potential. Our team is our greatest asset: we are a close-knit group who pull together to achieve our goals, but we also have fun! Further to a strong team environment, working at PRODA offers the following amenities: • Flexible Hybrid working options, • Stock Options in the Business, • 25 days base holiday, • Full zero-excess Private Health & Dental Insurance, Includes Couple and Family plans, • Generous Pension Schemes, • Opportunities for Professional Development + Learning Sessions PRODA treats people fairly. We are an equal opportunities employer and view all applications equally, regardless of gender, colour, ethnic background, religion, disability, age, sexual orientation, gender reassignment or marital/family status.

Fire – Engineer or Senior Engineer Glasgow, Bristol, Manchester or London Competitive salary + benefits We have an exciting opening for a Fire Engineer or Senior Fire Engineer to join our firm in our Glasgow, Bristol, Manchester or London offices. Hoare Lea is a human-centric and planet-conscious engineering consultancy. We offer intelligent and sustainable solutions to complex design challenges for the built environment throughout the UK and further afield. We provide a wide range of engineering and consultancy services, including acoustics, air quality, building services (MEP), fire, lighting, security and sustainability to name but a few. Together, our highly skilled teams use technical expertise and problem-solving skills to bring buildings to life. We ensure that whatever the building, its design is outstanding, and its operations meet the needs of the communities it serves. We are as committed to providing an environment where everyone can realise their unique potential. So, in joining Hoare Lea, you will experience a business that enriches your knowledge, supports your wellbeing, and welcomes your individuality. You’ll have the opportunity to participate in our 9-day fortnight scheme, thriving community groups, varied social and networking events, and extensive professional and technical development schemes. We also offer an extensive benefits package, including private medical cover, electric vehicle salary sacrifice scheme, stock options, and up to 30 days of annual leave. Whatever your ambitions or circumstances, our aim is to enable everyone to develop their knowledge, give their best, and enjoy what they do. Being part of one of the UKs largest building engineering consultancies, we benefit from collaborating with some of the best engineers in the business, with access to state-of-the-art technical support, and have the opportunity to work on some of the UKs largest and most high profile projects as part of a multi-disciplinary team. However, the fire team also works independently on fantastic projects, with many in our team having developed long-term relationships with many great clients. Heathrow’s Terminal 2, Doha’s new metro, the vast £1billion Elephant and Castle redevelopment in London, the extension to the ExCeL centre and the Royal Hospital for Children and Young Persons in Edinburgh are examples of some of the amazing projects where we have led the Fire Engineering design with other Hoare Lea disciplines. As part of long standing Fire Engineering relationships with external clients, we have led the fire safety design on seven of Manchester’s ten tallest buildings (including the UKs tallest residential tower), developed the current fire strategies for most of the UKs largest airport terminals, and designed two world cup stadia. A particular area where we have invested heavily is training and research. We have numerous research groups within the team to ensure that we remain at the cutting edge of our discipline; this includes computational and numerical modelling, emerging fire risks, new techniques and even fire testing – we recently led the design and implementation of two of the world’s largest ever cross laminated timber (CLT) compartment fire tests in France, to successfully validate our detailed calculations for a highly sustainable timber office building project. In addition to Hoare Lea’s best-in-class training, the fire group have developed extensive additional training and development opportunities – weekly training sessions for everyone, regular training away-days, innovation days and access to external training and conferences. We place a particular emphasis on enabling our team to achieve Chartered Engineer status – we have developed a programme for this and numerous fire engineers have obtained their CEng with us over the years. This is all enabled by our very experienced and highly qualified team. We are active in a number of key organisations such as the Society for Fire Protection Engineers (SFPE), Smoke Control Association, BSI Group and Institution of Fire Engineers. Why Work For Us? The Fire Engineering group’s strategy is simple, we want to do world-class fire engineering on the best projects with great clients. We want the team to enjoy the projects they do and who they work with, so our portfolio is of high quality, varied and really interesting. As part of Hoare Lea’s larger team of built-environment specialists, we have access to some of the UKs largest and highest profile projects. However, we also work independently and have developed long-term relationships with some great clients – there is no greater personal satisfaction from winning repeat projects from clients who think you’ve done a great job and like working with you. We are strong because we recognise that everyone has different skills to offer – our team includes ex fire service, building services and building control professionals, and engineers with degrees in physics, mechanical engineering, chemical engineering, materials science, forensics – oh, and fire engineering. The opportunities we provide for training and development are second-to-none. We invest significantly in this, and our aim is to ensure our team can achieve Chartered Engineer status. We have a highly experienced and qualified team to ensure that this can happen. We really want everyone to have the right work-life balance and to enjoy their work. We enable this by having a great benefits and flexible working package – including the ability to work a 9-day fortnight, and by choosing only the best projects for great clients, supported by extensive training and experienced colleagues. We are a really friendly, supportive and inclusive team, and enjoy numerous socials with our office colleagues and with the fire engineering team. The Role • Hoare Lea’s Fire Engineering team focuses on the fire safety design of buildings., • We work with colleagues within Hoare Lea as part of a multi-disciplinary team, and also have a significant portfolio of long-term external clients., • Our projects are principally based in the UK, and a detailed understanding of UK regulations and design guidance is desirable., • Able to work with, and have an appreciation of the integration of, other construction professionals’ requirements for the project., • Ensuring open communication among all project team members so that feedback is provided and acted upon efficiently in a timely manner., • Attending design team meetings, design workshops, client meetings and site meetings., • Travel to clients or projects in the UK, and occasionally internationally, according to project demands., • Working knowledge of software analysis tools – evacuation, smoke and fire modelling, heat radiation models and structural fire modelling. What We Are Looking For • Experience working within a fire engineering consultancy role., • A relevant degree or equivalent qualification in Engineering, Building Services, Maths, Architecture, or Physics, with a keen interest in Fire Engineering. You will have a good technical knowledge in the primary discipline of fire safety design., • You will be IT literate with a working understanding of fire modelling software analysis tools., • You should have excellent communication skills and an interest in working in a team environment., • You will have the ability and commitment to effectively deliver to demanding timescales, and have good organisational and planning skills. How to apply To apply simply complete a CV profile and submit your application, or for further information please contact . If shortlisted, one of our recruitment team will be in touch to arrange a introductory call (about 30 minutes) to discuss the role and your experience in more detail. From there, successful candidates will be invited to attend a panel interview, either via Microsoft Teams or in person at one of our offices. Adjustments and accommodations If there are adjustments or accommodations that we can put in place to help you participate and give your best at any stage of the recruitment process (whether relating to disability, neurodivergence or anything else) please let us know. Data privacy We have updated our terms and conditions for candidates, click here to find out more. Recruitment agencies We have a Preferred Supplier List of trusted partners who assist us when required. We do not acknowledge speculative CVs or unsolicited candidate introductions from agencies not on the list.

Fire – Principal or Associate Engineer Glasgow, Bristol, Manchester or London Competitive salary + benefits We have an exciting opening for a Principal or Associate Fire Engineer to join our firm in our Glasgow, Bristol, Manchester or London offices. About us Hoare Lea is a human-centric and planet-conscious engineering consultancy. We offer intelligent and sustainable solutions to complex design challenges for the built environment throughout the UK and further afield. We provide a wide range of engineering and consultancy services, including acoustics, air quality, building services (MEP), fire, lighting, security and sustainability to name but a few. Together, our highly skilled teams use technical expertise and problem-solving skills to bring buildings to life. We ensure that whatever the building, its design is outstanding, and its operations meet the needs of the communities it serves. We are as committed to providing an environment where everyone can realise their unique potential. So, in joining Hoare Lea, you will experience a business that enriches your knowledge, supports your wellbeing, and welcomes your individuality. You’ll have the opportunity to participate in our 9-day fortnight scheme, thriving community groups, varied social and networking events, and extensive professional and technical development schemes. We also offer an extensive benefits package, including private medical cover, electric vehicle salary sacrifice scheme, stock options, and up to 30 days of annual leave. Whatever your ambitions or circumstances, our aim is to enable everyone to develop their knowledge, give their best, and enjoy what they do. Hoare Lea’s Fire Engineering group is a leading team of experienced fire safety experts, many of whom are Chartered Engineers through the Institution of Fire Engineers. Being part of one of the UKs largest building engineering consultancies, we benefit from collaborating with some of the best engineers in the business, with access to state-of-the-art technical support, and have the opportunity to work on some of the UKs largest and most high profile projects as part of a multi-disciplinary team. However, the fire team also works independently on fantastic projects, with many in our team having developed long-term relationships with many great clients. Heathrow’s Terminal 2, Doha’s new metro, the vast £1billion Elephant and Castle redevelopment in London, the extension to the ExCeL centre and the Royal Hospital for Children and Young Persons in Edinburgh are examples of some of the amazing projects where we have led the Fire Engineering design with other Hoare Lea disciplines. As part of long standing Fire Engineering relationships with external clients, we have led the fire safety design on seven of Manchester’s ten tallest buildings (including the UKs tallest residential tower), developed the current fire strategies for most of the UKs largest airport terminals, and designed two world cup stadia. A particular area where we have invested heavily is training and research. We have numerous research groups within the team to ensure that we remain at the cutting edge of our discipline; this includes computational and numerical modelling, emerging fire risks, new techniques and even fire testing – we recently led the design and implementation of two of the world’s largest ever cross laminated timber (CLT) compartment fire tests in France, to successfully validate our detailed calculations for a highly sustainable timber office building project. In addition to Hoare Lea’s best-in-class training, the fire group have developed extensive additional training and development opportunities – weekly training sessions for everyone, regular training away-days, innovation days and access to external training and conferences. We place a particular emphasis on enabling our team to achieve Chartered Engineer status – we have developed a programme for this and numerous fire engineers have obtained their CEng with us over the years. This is all enabled by our very experienced and highly qualified team. We are active in a number of key organisations such as the Society for Fire Protection Engineers (SFPE), Smoke Control Association, BSI Group and Institution of Fire Engineers. Why Work For Us? The Fire Engineering group’s strategy is simple, we want to do world-class fire engineering on the best projects with great clients. We want the team to enjoy the projects they do and who they work with, so our portfolio is of high quality, varied and really interesting. As part of Hoare Lea’s larger team of built-environment specialists, we have access to some of the UKs largest and highest profile projects. However, we also work independently and have developed long-term relationships with some great clients – there is no greater personal satisfaction from winning repeat projects from clients who think you’ve done a great job and like working with you. We are strong because we recognise that everyone has different skills to offer – our team includes ex fire service, building services and building control professionals, and engineers with degrees in physics, mechanical engineering, chemical engineering, materials science, forensics – oh, and fire engineering. The opportunities we provide for training and development are second-to-none. We invest significantly in this, and our aim is to ensure our team can achieve Chartered Engineer status. We have a highly experienced and qualified team to ensure that this can happen. We really want everyone to have the right work-life balance and to enjoy their work. We enable this by having a great benefits and flexible working package – including the ability to work a 9-day fortnight, and by choosing only the best projects for great clients, supported by extensive training and experienced colleagues. We are a really friendly, supportive and inclusive team, and enjoy numerous socials with our office colleagues and with the fire engineering team. The Role • Hoare Lea’s Fire Engineering team focuses on the fire safety design of buildings., • We work with colleagues within Hoare Lea as part of a multi-disciplinary team, and also have a significant portfolio of long-term external clients., • Our projects are principally based in the UK, and a detailed understanding of UK regulations and design guidance is desirable., • Able to work with, and have an appreciation of the integration of, other construction professionals’ requirements for the project., • Ensuring open communication among all project team members so that feedback is provided and acted upon efficiently in a timely manner., • Attending design team meetings, design workshops, client meetings and site meetings., • Travel to clients or projects in the UK, and occasionally internationally, according to project demands., • Working knowledge of software analysis tools – evacuation, smoke and fire modelling, heat radiation models and structural fire modelling. What We Are Looking For • Experience working within a fire engineering consultancy role., • A relevant degree or equivalent qualification in Engineering, Building Services, Maths, Architecture, or Physics, with a keen interest in Fire Engineering. You will have a good technical knowledge in the primary discipline of fire safety design., • You will be IT literate with a working understanding of fire modelling software analysis tools., • You should have excellent communication skills and an interest in working in a team environment., • You will have the ability and commitment to effectively deliver to demanding timescales, and have good organisational and planning skills. How to apply To apply simply complete a CV profile and submit your application, or for further information please contact . If shortlisted, one of our recruitment team will be in touch to arrange a introductory call (about 30 minutes) to discuss the role and your experience in more detail. From there, successful candidates will be invited to attend a panel interview, either via Microsoft Teams or in person at one of our offices. Adjustments and accommodations If there are adjustments or accommodations that we can put in place to help you participate and give your best at any stage of the recruitment process (whether relating to disability, neurodivergence or anything else) please let us know. Data privacy We have updated our terms and conditions for candidates, click here to find out more. Recruitment agencies We have a Preferred Supplier List of trusted partners who assist us when required. We do not acknowledge speculative CVs or unsolicited candidate introductions from agencies not on the list.

We are partnering with one of London’s most selective and highest-performing quantitative investment funds to appoint a Senior Quant Developer to their core systematic trading group. This is a confidential mandate for a team renowned for world-class engineering standards, scientific rigour, and a culture built around high impact and low ego. The successful candidate will work at the intersection of quantitative research, data engineering, and high-performance software development — with code that moves rapidly from prototype to production and directly influences trading performance. The Role As a Quant Developer, you will: • Collaborate closely with quant researchers to productionise models and design scalable research/tooling infrastructure, • Develop high-performance, robust code across Python and C++, • Build and maintain data pipelines, research platforms, and components of the live trading stack, • Optimise system performance, reliability, and throughput across large-scale datasets, • Contribute to architectural decisions across the full research-to-execution workflow What We’re Looking For • Exceptional programming skills in Python and/or C++, with a focus on writing clean, performant production code, • Strong understanding of core CS fundamentals (algorithms, distributed systems, profiling, testing), • Experience in a systematic trading environment or quantitative data domain is highly advantageous, though not essential, • A problem-solver with the ability to work collaboratively in a highly technical, research-driven environment, • Humility, curiosity, and a desire to build systems that have real, measurable impact, • Computer Science or STEM degree from a good university Why This Role Stands Out • Opportunity to join a top-performing fund with a deeply technical culture, • Work directly with elite researchers and developers on complex, meaningful problems, • Highly competitive compensation with significant performance-based upside, • Exposure to world-class infrastructure, datasets, and compute environments, • A role where strong engineering truly drives investment performance

A leading international renewable energy company is seeking an experienced Global QHSE Manager to lead its global Quality, Health, Safety, and Environmental agenda. This is a pivotal role within a fast-growing organization that develops, builds, and operates solar, onshore wind, and battery storage projects across Europe, North America, and Asia. Global QHSE Manager - Renewable Energy London (Singapore or Houston) Offer • A dynamic position with an international scope in the fast-growing Renewable Energy sector, offering both variety and significant responsibility., • You will be responsible for defining, executing, and embedding the company’s QHSE strategy worldwide., • A hands-on leadership position where strategic thinking meets operational delivery: shaping frameworks, setting global standards, and personally driving initiatives that foster a proactive safety culture and operational excellence., • The role spans all stages of the project lifecycle: from development through construction to operations, as well as corporate processes and ESG alignment., • You’ll work across multiple regions and cultures, ensuring that high standards are consistently achieved while supporting the company’s commitment to a net-zero future., • An opportunity to shape and lead the global QHSE function of a rapidly expanding renewable energy platform., • Enjoy a competitive compensation package aligned with your experience, including a company car, bonus schemes, and a comprehensive set of extra-legal benefits., • Flexible work-from-home options are available for at least three days per week. Job description • As the QHSE Manager you'll lead the global QHSE strategy and ensure its practical implementation across all business units., • You’ll build and maintain an integrated management system (ISO 14001, ISO 45001) to support consistent global standards., • As the QHSE Manager you’ll drive risk management, incident investigation, and continuous improvement processes; you’ll prioritize a positive safety culture, introducing engaging initiatives and training across all levels., • You’ll provide strategic oversight on crisis management, business continuity, and ESG performance, and represent the company in QHSE forums and drive innovation through data and digital tools., • You'll act as HSSE focal point for the UK office, supporting HSSE compliance across other global locations., • As the QHSE Manager you’ll work closely with senior leadership to drive cultural change, enhance safety performance, and ensure the company remains a benchmark for operational excellence as it scales toward its global net-zero ambitions. Your profile • You hold a Master's degree in Engineering, Environmental Science, a related technical discipline or possess equivalent qualifications through education and experience., • You have proven experience in leading QHSE functions within the renewable energy, utilities, infrastructure, construction, or related industries, as well as in building management systems from the ground up., • You have a deep understanding of international standards (ISO 9001, ISO 14001, ISO 45001) and HSE legislation., • You have a flexible mindset and the ability to thrive in a startup/ scale-up environment., • You have strong leadership and influencing skills, with the ability to engage and motivate diverse teams across geographies and cultures., • You are a strategic and analytical thinker with a hands-on, execution-focused approach. Interested? Send your CV to or contact me at +32 472/90.11.31. All applications will be treated with the utmost discretion!