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Overview GSK is a science-led global healthcare company with a special purpose: to help people do more, feel better, live longer. We are on an audacious journey to impact the health of 2.5 billion people over the next decade. Our R&D division is at the forefront of this mission, dedicated to the discovery and development of groundbreaking vaccines and medicines. We are transforming the landscape of medical research by integrating cutting-edge science and technology and harnessing the power of genetics and new data. By fostering a collaborative environment that unites the talents of our people, we are revolutionizing R&D to pre-empt and defeat diseases. Join us in our commitment to uniting science, technology, and talent to get ahead of disease together. Role/Project Overview At GSK we see a world in which advanced applications of Machine Learning and AI will allow us to develop novel therapies to existing diseases and to quickly respond to emerging or changing diseases with personalized drugs, driving better outcomes at reduced cost with fewer side effects. It is an ambitious vision that will require the development of products and solutions at the cutting edge of Machine Learning and AI, as well as extensive safety and robustness evaluations. We’re looking for a highly skilled full stack engineer to help us make this vision a reality. Competitive candidates will have a track record of writing and shipping quality, well-documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in drug discovery and the clinic. The Responsible AI team is built on the principles of ownership, accountability, continuous development, and collaboration. This fixed-term position is a unique opportunity to contribute to the development and evaluation of generative AI for drug discovery in a fast-paced environment, with a focus on impact and in collaboration with a large team. Our leaders will be committed to your career and development from day one. Key Responsibilities • Define and implement key safety metrics for generative AI (and in particular language) applications., • Perform user research to understand the application’s risks and failure modes., • Integration of AI/ML components with frontend, backend, data and compute infrastructure, • Responsible for high quality software implementations according to best practices and expected to participate in code reviews., • Liaise with other technical staff and data engineers in the team and across allied teams, to build an end-to-end pipeline consuming other data products., • Deliver ML- and data-driven insights on GenAI datasets. Minimum Qualifications • A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience as a professional ML engineer or data scientist., • Prior experience carrying out user research for software development., • Knowledge of generative AI and large language models., • Strong skills in Python, including development and testing., • Knowledge of agile practices and able to perform in agile software development environments., • Strong knowledge of modern software development tools / ways of working (e.g. git/GitHub). Preferred Qualifications • Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen)., • Prior experience conducting user research for AI applications., • Knowledge of AI/ML evaluation and benchmarking approaches, including safety and robustness evaluations., • Web-based front end development experience. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together. Inclusion at GSK GSK is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class. If you need any adjustments in the recruitment process, please get in touch with our Recruitment team () to further discuss this today. Important notice to employment businesses/agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are aUS Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit GSK’s Transparency Reporting ___ site.

Senior Software Developers/Engineers with Python, Terraform and Go Our Client is looking to recruit brilliant Software Developers/Engineers with upwards of 7 to 10 years solid proven track record of developing complex applications with Python coupled with Machine Learning and ideally Go.We?re look

Our Client Founded 5 years ago and already 130 people strong (have gone from 80 to 130 people in the last 6 months) with offices in both London and SF, our client has built a robust and explosive DataOps business. Series B funded (raised over $30m), they are currently the youngest AI business to raise a Series B from the YCombinator portfolio! They have built a product that leans into blending machine learning models and data annotation to help businesses save time and money! What You’ll Get This is a key hire, you'll be joining their founding sales team - looking to pay £70,000 - £90,000 on the base + double OTE + equity. This role is a hybrid role, although you will be expected to be in their central London office a minimum of 3 days a week. You'll get the chance to join stellar sales professionals selling a pioneering product for a young, fast-growing SaaS business. Their product is so diverse, no 2 days will be the same... One day you will be selling into an established Tech business, the next you could be selling to the NHS or even the NFL! What You’ll do Working closely with the Sales Director and the other Founding Enterprise AEs, you will play a huge part in building their European presence. You'll be closing deals £100k plus whilst trying to break into some of the world's leading brands. You must be prepared to generate some of your own pipeline. What you’ll need You will have a proven track record in complex SaaS sales, whilst also showing that you've excelled in other areas of life (academics or sport etc...). You will have previously worked towards yearly revenue targets of circa £1M or north of this. You must, must, must be willing to work in a scrappy start-up and be ready to be your own CEO!

Head of Compliance - Insurance 📍 Hybrid – only 1 day per week in office 🕓 Full-time 💼 Reports to: Chief Risk & Compliance Officer About our client General Insurance business, offering very unique proposition for a specific market. Our client offers a combination of smart tech and human expertise to make it possible to protect what matters most — your home and everything you love. They’re changing the experience of insurance. Their innovative digital platform delivers instant quotes for complex cases, while their dedicated UK support team ensures real people are always there when it matters most. They’ve already helped hundreds of thousands of people protect their homes — and they’re just getting started. The Role We’re looking for an exceptional Head of Compliance to lead the Compliance function and help shape the next stage of our client’s growth. This is a pivotal leadership role, responsible for building and developing a compliance function that supports the mission and ensures alignment with FCA, PRA, Consumer Duty, SM&CR, and wider regulatory frameworks. You’ll work closely with the Chief Risk & Compliance Officer, senior leadership, and the Board to ensure the compliance strategy enables business innovation while safeguarding customers and maintaining the highest standards of integrity. Key Responsibilities • Design, implement and maintain a robust Compliance Framework aligned with FCA and other regulatory standards., • Lead regulatory oversight and horizon scanning to identify emerging risks and opportunities., • Deliver compliance assurance, monitoring, and reporting to senior stakeholders and committees., • Drive a strong compliance culture across the business, embedding awareness and accountability at every level., • Lead engagement with regulators, ensuring transparency and effective issue management., • Build, develop, and lead a high-performing compliance team aligned to the firm’s scale and ambition. What We’re Looking For Experience and Expertise • Extensive compliance leadership experience in the insurance sector (home or personal lines preferred)., • Deep understanding of FCA/PRA regulations, Consumer Duty, SM&CR, financial promotions, and financial crime., • Proven track record in delivering compliance programmes, monitoring plans, and thematic reviews., • Experience engaging with regulators and managing Skilled Person (s166) reviews., • Exceptional analytical, communication, and stakeholder management skills. Leadership • Inspirational people leader — able to build, motivate, and mentor high-performing teams., • Comfortable navigating ambiguity and regulatory change in a fast-paced, innovative environment. Qualifications • Professional compliance qualifications (e.g., ICA, CISI, ACII) preferred., • Familiarity with governance, risk, and compliance frameworks., • Awareness of regulatory implications of AI and machine learning is a plus. Ready to make your mark? Join us in shaping the future of GI insurance. Apply today.

What we are building Enterprises can't adopt AI safely without us. And they can't compete without adopting AI. We're the unlock While enterprises rush to adopt AI, they're paralyzed by a simple question: "Which AI vendors are actually safe and how to deploy?" We give them the answer—independent, safety, trust and financial risk in CFO speak. The timing is perfect. Board-level AI governance mandates. High-profile AI incidents. What was "nice to have" 12 months ago is now "deploy this yesterday or the board fires us." The tailwinds are real and accelerating. The Opportunity (And the Challenge) You'll be selling a category that didn't exist 18 months ago to buyers who may not know they need it to survive the next 12 months. There's no established playbook. No warm pipelines. No enterprise sales machine. What you will have: ● A product that makes people say "holy shit, this changes everything" ● A market experiencing regulatory + demand shockwaves simultaneously ● Direct access to founders and influence on product/strategy ● Uncapped earning potential in a category we're defining The catch: You'll be doing what it takes - educating the market, building from zero, warm or cold. If you need a predictor sales structure, this isn't it. If you thrive in chaos, and can work backwards from outcomes, keep reading. What you'll actually do: ● Hunt and qualify leads. Find Chief AI Officers, Risk leaders, CTOs, CIOS who are on the hook to manage the risk of integrating AI products. Get them interested and qualified for demos. ● Run with the sales process. Prospect → qualify → demo → support closing. You'll work deals from start to finish with founder support on complex deals. ● Learn and educate. You'll become an expert on AI risk so you can educate buyers who don't yet know they need this. ● Test and learn. Try different messaging, track what works, share learnings. Define what resonates in this brand-new category for the market. ● Move fast. Early stage means rapid iteration and direct feedback—no bureaucracy. Who Actually Succeeds Here ● Relentless. When someone says "we're not ready," you hear "teach me why you should be." You don't take no for an answer—you find the right angle. ● Entrepreneurial. You're early in your career but you think like a founder. You've maybe done a side project, worked at a start-up, or just have that itch to build something. Ambiguity doesn't scare you—it excites you. ● Curious. AI risk sits at the intersection of AI tech, risk & compliance, and business strategy. You love learning complex topics and explaining them simply. You can talk to both technical and business buyers. ● Hungry. Not just for money—for impact, at an industry level. You want equity because you believe in building something big. You want to be able to say "I was there at the beginning. What You Need Required: ● 2-4 years B2B sales (SaaS, RegTech, GRC, cybersecurity, or emerging tech) ● Track record of hitting quota in ambiguous environments ● Ability to explain complex concepts to non-technical executives ● Comfort with rejection (you'll hear "no" 30x before you hear "yes") ● Self-starter DNA—you don't wait for direction, you create momentum Bonus: ● Sold into risk, compliance, security, or legal functions ● Experience in category creation or "new market" sales ● Understanding of AI/ML and enterprise risk ● Network with CROs, CFOs, CISOs or Chief AI Officers What Makes This Different Most sales associate roles: you're #47 on a team, following a proven playbook, hitting established quotas. This role: you're in the room as we build out the playbook. You'll help create the category positioning, test messaging, and build processes. You'll grow leaps as the company grows. If you want proven and predictable: join an established company with defined structured career paths. If you want to learn fast and have real impact early in your career: this is it. What We Offer ● Equity stake in a company positioned at the nerve-centre of AI adoption and risk management ● Uncapped commission structure with strong earning potential ● Direct access to founders - learn from and work alongside leadership daily ● Fast learning curve - you'll learn more in 6 months than most learn in 4 years ● Ground-floor opportunity to grow with the company as we scale The Real Talk This isn't for everyone. You'll spend months evangelizing before deals close. You'll hear "we're not ready" constantly. You'll educate 15 prospects for every 1 that converts. You'll have weeks where nothing moves. But if you're the type who gets energized by that—who sees "we're not ready" as "that's my job to change"—then this is the opportunity you've been waiting for. The market is moving. The tailwinds are real. The question is: are you the person who can break through? Ready? Apply now or reach out directly to governr is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

*This role can be based in London / Munich / Paris or Madrid Our Mission At Palo Alto Networks® everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. We have the vision of a world where each day is safer and more secure than the one before. These aren’t easy goals to accomplish – but we’re not here for easy. We’re here for better. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are. Disruption is at the core of our technology and on our way of work to meet the needs of our employees now and in the future through FLEXWORK, our approach to how we work. We’re changing the nature of work from benefits to learning, location to leadership, we’ve rethought and recreated every aspect of the employee experience at Palo Alto Networks. And because it FLEXes around each individual employee based on their individual choices, employees are empowered to push boundaries and help us all evolve, together. Job Description Your Career Palo Alto Networks is revolutionizing cybersecurity in the age of Artificial Intelligence. We are seeking a dynamic and customer-obsessed Sales Director to lead our Software Firewall Sales Specialist team in EMEA. You will drive business development, customer engagement, and execute the sales process for our growing portfolio of AI security solutions in the EMEA market. You will be a key player in identifying and converting high-potential opportunities, accelerating adoption, and positioning Palo Alto Networks as the go-to partner for securing Cloud and AI initiatives whilst ensuring close alignment with the sales team and other stakeholders in the region. Your Impact We are looking for a proven first-line sales leader with great energy, leadership, and initiative to drive team performance and revenue growth for our sales team. This role will entail: * Develop and execute targeted sales and go-to-market (GTM) strategies focused on pipeline generation, technically winning, and closing new customers for Palo Alto Networks Next Generation Software Firewall solutions (VM Series, Cloud Firewall, and AIRS solutions) * Collaborate with cross-functional teams including your extended sales teams, GTM, product, marketing, and channel to align Sales Plays to targeted customers in your sales territory within the EMEA region. * Execute Next Generation/Software Firewall sales plays to build software firewall pipeline in your region in collaboration with your extended sales teams. * Collaborate with your extended Palo Alto Networks sales teams to identify, conduct discovery, and qualify new Software Firewall opportunities with customers. * Work with the technical solutions team to technically validate and win Software Firewall opportunities with customers. * Serve as a trusted advisor to strategic customers and partners, driving consultative sales cycles from initial engagement to close as needed * Identify and understand customer requirements and articulate the value proposition of Palo Alto Networks’ AI security and Software and Cloud Firewall offerings and use cases to meet those requirements. * Evangelize the importance and value of securing AI across industry events, executive briefings, and thought leadership opportunities * Track and report performance metrics, pipeline health, and market insights to support forecasting and strategy refinement in your area. * Build close partnerships with the sales team and cloud service providers in the Region to identify new opportunities and close business. Qualifications Your Experience * 8+ years of experience in a sales or sales specialist role in the cybersecurity, cloud, or AI space and 2 years of sales management experience preferred * Understanding of AI technologies, including generative AI tools, machine learning, and large language models (LLMs) * Strong grasp of firewall fundamentals, including the ability to discuss how modern software firewalls help customers secure traffic in the cloud, prevent advanced threats from spreading across their network, gain visibility and control over applications, and enable a secure hybrid workforce. * Deep understanding of cybersecurity fundamentals, including data security, network security, and cloud security * Demonstrated ability to lead complex sales engagements * Extensive experience cloud platforms such as AWS, Azure, or GCP * Excellent interpersonal, communication, and presentation skills, with the ability to influence senior stakeholders * Self-starter who thrives in a fast-paced, collaborative environment with minimal direction * Bachelor’s degree in business, computer science, engineering, or a related field; advanced degrees a plus * Experience selling to CISOs, CIOs, and data science/security teams * Experience working in a high-growth or scale-up environment * Background in working with or through VARs, cloud marketplaces, or CSP partnerships Additional Information The Team You’ll be part of a passionate, high-energy sales acceleration team focused on helping customers navigate one of the most transformative shifts in technology. We equip you with industry-leading tools, sales enablement, and support systems to succeed. At Palo Alto Networks, we thrive on collaboration, innovation, and making an impact – one secured AI project at a time. Our Commitment We’re problem solvers that take risks and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at . Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines.

Do you have the passion, business acumen and a strong track record of success in sales? As an Account Executive at Resonate you will be driving strong sales within leading regional companies - with a focus on new business. On the heels of market expansion and growth, Resonate is hiring an Account Executive to join the sales team. Resonate is an Australian Scale-up organisation that has an enterprise Customer Experience (CX) platform (SaaS). Our Voice of Customer and Voice of Employee platform leverages the latest technology including machine learning, text analytics, and data visualizations to help close the loop faster and deliver actionable insights to leading companies. Resonate has a range of flagship customers and rapidly growing brand recognition. Here is what you can expect when working with us: • Ability to grow your career at a very fast pace, • The freedom to be 100% yourself, • Uncapped incentives, • Working closely with senior leaders in the company and getting mentorship, • Deal with large regional clients, • Early stage equity The ideal candidate will have a track record of success selling to senior executives. He/she should also have a strong entrepreneurial spirit, being an early member of the team that has the opportunity to write their own story, capture market share, be mentored by business leaders, and go to new markets. They are an independent self-starter who is ambitious to learn and grow their career by exceeding revenue targets and driving customer advocacy. Requirements Must Have: • 5+ years Experience in B2B sales, • Ability to understand client business drivers and ROI, • Solution selling approach, • Ability to work through longer sales cycles with multiple stakeholders driving value, • Generate a substantive sales opportunity pipeline and achieve sales targets, • Ability to drive revenue and market share in a defined territory/accounts, • Manage the sales process from the initial opportunity through to the securing the deal, • Experience working with and influencing Senior Leaders in organisations, • Strong verbal and written communications skills with ability to create pitch decks and proposals, • Have a consultative sales style with ability to grow domain knowledge Nice to Have: • Experience in the Customer Experience Domain / Data insights / Marketing Tech Sales, • SaaS Sales Experience, • Industry vertical expertise e.g. Retail, B2B, Local Government Cherry on top: • Experience working in a start-up environment

HLX Group is revolutionising recruitment in the global life sciences sector. Since launching in January 2024, we’ve grown to 30+ people, backed by significant investment, and led by a founding team with 60+ years of combined experience. We connect world-class talent with pioneering biotech, pharma, and AI-driven healthcare companies. About the Computational Sciences Division This is one of HLX’s fastest growing and highest billing teams, focusing on AI and Machine Learning in drug discovery- a high demand, high value market. You’ll work on senior hires, long-term team builds, and partnerships with cutting-edge TechBio companies, from stealth start-ups to industry leaders. We’re looking for people who are: • Ambitious and financially motivated, • Curious about technology and science, • Precise and detail-oriented, • People-focused and excellent at networking, • Excited by new ideas, new clients, new opportunities The Role As a consultant, you will: • Drive business development and attend client meetings across the US, • Partner with biotech and pharma companies to meet hiring needs, • Place candidates into top ML/AI drug discovery teams, • Build and grow client relationships, • Identify and engage top talent in computational biology, AI/ML, and life sciences, • Collaborate with senior recruiters on high-value assignments What we’re looking for: • 6–12 months+ sales or recruitment experience (preferred, not essential), • Proven track record in a fast-paced, target-driven environment, • Strong communication and relationship-building skills, • Resilient, proactive mindset with a fast-learning attitude, • Interest in technology, AI, and drug discovery What we offer: • Competitive salary + uncapped commissions (up to 25%), • Quarterly bonuses and incentive trips (Dubai, Ibiza, Miami…), • Unlimited holiday, • Apple Mac and all necessary tools, • Offices in London, Basel, Boston (NYC & San Francisco coming soon), • Fully backed Learning & Development program, • The opportunity to work & learn with some of the best Head-hunters in the Life Science industry Why join HLX? Be part of a scaling team in one of the hottest markets. Work closely with leadership, build a strong network, earn top-of-market, and be part of a supportive, ambitious, and fun team. Ready to make a difference? Apply now or email your CV to

HLX Group is revolutionising recruitment in the global life sciences sector. Since launching in January 2024, we’ve grown to 30+ people, backed by significant investment, and led by a founding team with 60+ years of combined experience. We connect world-class talent with pioneering biotech, pharma, and AI-driven healthcare companies. About the Computational Sciences Division This is one of HLX’s fastest growing and highest billing teams, focusing on AI and Machine Learning in drug discovery- a high demand, high value market. You’ll work on senior hires, long-term team builds, and partnerships with cutting-edge TechBio companies, from stealth start-ups to industry leaders. We’re looking for people who are: • Ambitious and financially motivated, • Curious about technology and science, • Precise and detail-oriented, • People-focused and excellent at networking, • Excited by new ideas, new clients, new opportunities The Role As a consultant, you will: • Drive business development and attend client meetings across the US, • Partner with biotech and pharma companies to meet hiring needs, • Place candidates into top ML/AI drug discovery teams, • Build and grow client relationships, • Identify and engage top talent in computational biology, AI/ML, and life sciences, • Collaborate with senior recruiters on high-value assignments What we’re looking for: • 6–12 months+ sales or recruitment experience (preferred, not essential), • Proven track record in a fast-paced, target-driven environment, • Strong communication and relationship-building skills, • Resilient, proactive mindset with a fast-learning attitude, • Interest in technology, AI, and drug discovery What we offer: • Competitive salary + uncapped commissions (up to 25%), • Quarterly bonuses and incentive trips (Dubai, Ibiza, Miami…), • Unlimited holiday, • Apple Mac and all necessary tools, • Offices in London, Basel, Boston (NYC & San Francisco coming soon), • Fully backed Learning & Development program, • The opportunity to work & learn with some of the best Head-hunters in the Life Science industry Why join HLX? Be part of a scaling team in one of the hottest markets. Work closely with leadership, build a strong network, earn top-of-market, and be part of a supportive, ambitious, and fun team. Ready to make a difference? Apply now or email your CV to

We are a small London startup with the ambition to change education with ML-powered tutoring. Our flagship product is a mobile application for teaching English to intermediate and advanced learners. We’re on the verge of solving one of the biggest challenges in education – making high-quality, personalised learning accessible to everyone. We are building a fundamental model for education - one that can accurately predict student knowledge and orchestrate lessons, adapting to the students needs. We’re looking for a Lead ML Engineer, with a proven track record of delivering ML models to production, to own the ML team in our growing company. What you will do 🚀 • Build fundamental models for education - solving the ultimate learning task of predicting student knowledge and optimal ‘next task’, • Work with a vast amount of unique data - we have data from over 1M language tests, including text and voice data, • Create brand new dictionaries, applicable to any context - right now it’s the English language, but in the future it could be other languages or even subjects such as Mathematics, • Analyse large amounts of diverse data - including data from every movie, book, and song, • Work in a cross-functional team and communicate with backend engineers and product managers, • Create new types of tests for language learners to gather more test results, analyse them, and build prediction models based on these results, • Optimise and fine-tune machine learning models for performance, scalability, and accuracy, • Lead our ‘AI Powered Education’ meet-up in London, building a network of ML specialists Essential skills 🙏 • Experience leading and mentoring other ML engineers, • Complete end-to-end experience - from finding and cleaning data all the way to monitoring models in production, • Experience taking complete ownership of entire ML systems and data pipelines in large-scale production systems, • Experience building automated data pipelines, • Strong understanding of CI/CD pipelines and automation tools for efficient model deployment and monitoring, • Strong understanding of neural networks, CNNs, RNNs, LSTMs, and transformers, • Great knowledge of NLP algorithms, • Expertise in Python and PyTorch Desirable Skills 👌 • Can speak, or learning to speak, more than one language, • Experience with reinforcement learning, • Knowledge-sharing experience (tech talks, articles, YouTube videos, etc.), • Experience using voice data in ML models What we can offer ✨ • Lead an ML team that will become the leading specialists in ML-powered education, • A real-deal startup adventure: you'll be hopping on a major project while it's still in the works!, • Freedom to suggest, implement, and test ideas, • Unlimited learning & development budget (courses, conferences, books etc.), • Lunch provided by the company every day, • Regular social events, • 25 days annual leave + public holidays, • Work from our London office Interview Process 🧪 • 3 interviews, which will be mixture of technical and non-technical tasks, • If all the interviews are successful, we’d like to invite you to 2 or 3 paid trial days, or to complete short project remotely with us, to learn what it’s like to work at Glite

Founding Software Engineer (React and Python) About the Opportunity You will be joining an elite founding engineering team that includes the world’s number one authority in Multi Agent Reinforcement Learning, seasoned Meta Product leaders, and one of the only people in the UK who has trained a trillion token language model from scratch. This role is based in London, with two to three days per week on site, and offers a top tier salary plus equity package to reflect the strategic and high impact nature of the work. Why This Role Matters You are part of the initial engineering core, playing a pivotal role in shaping and scaling the technology platform from the ground up. You will work alongside leading researchers and product strategists at the intersection of cutting edge reinforcement learning and large scale foundational models. You will enjoy a rare opportunity to influence direction, architecture and go to market execution, with both immediate impact and long term upside via equity. Role Responsibilities • Architect, design and build foundational systems and platforms that underpin next generation AI driven products, • Collaborate closely with leading researchers and product strategists to refine MVPs, prototype innovative workflows and accelerate iterations to production, • Scale and optimise infrastructure to support high throughput training, inference and deployment of both multi agent reinforcement learning systems and enormous language models, • Implement robust MLOps best practices including data pipelines, model versioning, monitoring, automated deployment and continuous integration, • Drive end to end ownership from ideation to deployment, performance and scaling, • Mentor future hires and define scalable engineering culture, processes and tooling Candidate Profile • Proven track record (five plus years) in engineering roles involving scalable, machine learning intensive systems whether via start ups or technology critical environments, • Deep familiarity with large scale model training and production deployment, especially for reinforcement learning or transformer based architectures, • Hands on experience building and maintaining Frontend applications - React, Typescript, • Strong programming background in Python and or relevant frameworks such as TensorFlow, PyTorch or Hugging Face, • Fluent in cloud native development, containerisation, orchestration (for example Docker or Kubernetes) and CI/CD, • Exceptional problem solver with an entrepreneurial mindset who is comfortable with ambiguity, fast iteration and changing priorities, • Eagerness to collaborate with world class academics and product professionals to shape high impact solutions What’s on Offer • Top of market salary benchmarked for senior founding engineers in London, • Significant equity stake aligned to reward substantial contributions and long term upside, • Flexible hybrid working model with two to three days per week on site in London, balancing focused collaboration and deep work, • Direct exposure to groundbreaking research, product innovation and machine learning operations including multi agent reinforcement learning and trillion token language model training, • A start up like environment with world class talent combined with the discipline to build with scale in mind

We are a small London startup with the ambition to change education with ML-powered tutoring. Our flagship product is a mobile application for teaching English to intermediate and advanced learners. We’re on the verge of solving one of the biggest challenges in education – making high-quality, personalised learning accessible to everyone. We are building a fundamental model for education - one that can accurately predict student knowledge and orchestrate lessons, adapting to the students needs. We’re looking for a Senior NLP Engineer, with a proven track record of delivering ML models to production, to join the ML team in our growing company. What you will do 🚀 • Build fundamental models for education - solving the ultimate learning task of predicting student knowledge and optimal ‘next task’, • Build fully-automated pipelines for dictionary building; including span identification, word sense distribution, and sense granularity decision, • Work with a vast amount of unique data - we have data from over 1M language tests, including text and voice data, • Create brand new dictionaries and train models to determine the difficulty of words, idioms, phrasal verbs etc., • Analyse large amounts of diverse data - including data from every movie, book, and song, • Work in a cross-functional team and communicate with backend engineers and product managers, • Create new types of tests for language learners to gather more test results, analyse them, and build prediction models based on these results, • Optimise and fine-tune machine learning models for performance, scalability, and accuracy Essential skills 🙏 • Strong expertise in NLP, • Complete end-to-end experience - from finding and cleaning data all the way to monitoring models in production, • Strong understanding of neural networks, CNNs, RNNs, LSTMs, and transformers, • Experience building automated data pipelines, • Hands-on experience with LLM tooling and libraries (e.g., Hugging Face Transformers/PEFT, tokenisers, spaCy or similar), • Experience shipping NLP systems: prompt engineering, fine-tuning (e.g., LoRA/PEFT), vector search, and RAG-based services, • Great knowledge of NLP algorithms: tokenisation, embeddings, attention, language modelling, text classification/generation, and information retrieval Desirable Skills 👌 • Can speak, or learning to speak, more than one language, • Experience with reinforcement learning, • Knowledge-sharing experience (tech talks, articles, YouTube videos, etc.), • Experience using voice data in ML models What we can offer ✨ • A real-deal startup adventure: you'll be hopping on a major project while it's still in the works!, • Freedom to suggest, implement, and test ideas, • Unlimited learning & development budget (courses, conferences, books etc.), • Lunch provided by the company every day, • Regular social events, • 25 days annual leave + public holidays, • Work from our London office Interview Process 🧪 • 3 interviews, which will be mixture of technical and non-technical tasks, • If all the interviews are successful, we’d like to invite you to 2 or 3 paid trial days, or to complete short project remotely with us, to learn what it’s like to work at Glite.

Our Mission At Palo Alto Networks® everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are. Who We Are This role is remote, but distance is no barrier to impact. Our hybrid teams collaborate across geographies to solve big problems, stay close to our customers, and grow together. You will be part of a culture that values trust, accountability, and shared success where your work truly matters. Job Description Your Career We are seeking a Threat Intelligence Researcher for our Unit 42 Intelligence Response Unit. This team plays a critical role in providing timely, actionable threat intelligence and response capabilities to help protect our customers. Your Impact As a Threat Intelligence Researcher in the Intel Response Unit, your primary responsibilities will include: * Embedded Intelligence Support: Partner with the Unit 42 incident response teams to provide intelligence support to cases and track activity with intelligence value, including high profile cases that may require support outside of normal business hours. * Leveraging Unique Data Holdings: Harness the full weight of the company's unique data holdings, including product telemetry, front line Incident Response (IR) and Managed Detection and Response (MDR) data, and Intel Holdings. Utilize these resources to produce unique and valuable insights, enhancing the effectiveness and differentiation of our threat intelligence capabilities. Integrate internal holdings with external information to provide actionable intelligence findings to IR teams. * Contributing to External Engagement: Develop engaging and informative content, including customer briefings, threat reports, and updates on major cyber events. Share insights and expertise internally, with customers, and at security conferences. * Cross-Organizational Collaboration: Collaborate with threat analysts, consultants, and engineers from various teams and departments within the organization. Foster strong relationships and support joint efforts to address complex threats that span multiple areas of expertise. * Leverage AI for Analytic Workflows: Integrate Generative AI, NotebookLM, and other artificial intelligence and machine learning solutions across all phases of the intelligence lifecycle to improve analytic workflows. Use and develop new AI solutions to reduce research toil, query existing intelligence holdings, and accelerate report and presentation creation. Qualifications Your Experience * 8 + years of relevant professional expereince such as integrating cyber threat intelligence into incident response engagements, including demonstrated ability to coordinate with cross-organizational threat analysts, facilitating collaboration, and aligning efforts to achieve common goals. * Strong knowledge of cyber security threat actors, particularly their tactics, techniques, procedures, tooling, and noteworthy attacks. * Experience leveraging open source data sets, internal telemetry, and case information to identify technical pivot opportunities, patterns of activity, and trends. * Strong writing and presentation skills, with the ability to effectively communicate complex threat intelligence information to diverse audiences. * Highly organized with the ability to manage multiple tasks, prioritize effectively, and triage competing demands. * Track record of using Deep and Dark Web intelligence to identify and report on cyber threats, vulnerabilities, and threat actor TTPs (Tactics, Techniques, and Procedures) * Hands-on experience using large language models (LLMs) to accelerate threat intelligence analysis * Familiarity with Vertex Synapse a plus Additional Information The Team Unit 42 brings together our world-renowned threat researchers with an elite team of security consultants to create an intelligence-driven, response ready organization. The Unit 42 Threat Intelligence team provides threat research that enables security teams to understand adversary intent and attribution, while enhancing protections offered by our products and services to stop advanced attacks. As threats escalate, Unit 42 is available to advise customers on the latest risks, assess their readiness, and help them recover when the worst occurs. Our Commitment We’re problem solvers that take risks and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at . Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines.

Data QA Engineer We are seeking a QA Engineer with a strong background in data and analytics to help ensure the accuracy and reliability of both data pipelines and machine learning models. This role combines hands-on testing, automation, and close collaboration with engineering and data teams. About the Role You’ll take ownership of quality assurance for data pipelines; you’ll have a strong understanding of SQL to verify data consistency and accuracy. You’ll support with automated QA solutions for data pipelines and testing the outputs of ML models. Responsibilities • Design, develop, and execute comprehensive test plans and test cases for data pipelines and ML models., • Implement and maintain automated testing frameworks for data and ML quality assurance, • Perform thorough manual testing during initial development and complex feature releases, • Collaborate closely with Data Engineers, Data Scientists, and Product Managers, • Proactively identify, document, and track bugs and quality issues., • Participate in code reviews and provide constructive feedback from a QA perspective. What We’re Looking For • 2+ years’ experience in QA, with a focus on data-driven products., • Strong SQL skills and proficiency in Python., • Understanding of data warehousing concepts., • Familiarity with machine learning methodologies., • Ability to collaborate with cross-functional teams. The role is hybrid with travel to the london office. If you have the desired skills and experience and would like to find out more, please apply to this advert by following the link below and attaching a copy of your most recent CV. If successful we will be in touch to discuss the role in more detail.

Are you passionate about Data and Analytics (D&A) and excited about how it can completely transform the way an enterprise works? Do you have the strategic vision, technical expertise, and leadership skills to drive data-driven solutions? Do you want to work in a dynamic, fast-growing category? If so, you might be the ideal candidate for the role in the Data and Analytics function for Global Pet Nutrition (PN) at Mars. Pet Nutrition (PN) is the most vibrant category in the FMCG sector. As we work to transform this exciting category, a new program, Digital First, has been mobilized by the Mars Pet Nutrition (PN) leadership team. Digital First places pet parents at the centre of all we do in Mars PN, while digitalizing a wide range of business process areas, and creating future fit capabilities to achieve ambitious targets in top line growth, earnings, and pet parent centricity. The Digital First agenda requires Digitizing at scale and requires you to demonstrate significant thought leadership, quality decision making, deep technical know-how, and an ability to navigate complex business challenges while building and leading a team of world class data and analytics leaders. With Digital First, PN is moving to a Product based model to create business facing digital capabilities. Develop and maintain robust data pipelines and storage solutions to support data analytics and machine learning initiatives. Reporting to the Director-Data engineering solution. The role operates globally in collaboration with teams engineering teams across core products. Are you passionate about Data and Analytics (D&A) and excited about how it can completely transform the way an enterprise works? Do you have the strategic vision, technical expertise, and leadership skills to drive data-driven solutions? Do you want to work in a dynamic, fast-growing category? If so, you might be the ideal candidate for the role in the Data and Analytics function for Global Pet Nutrition (PN) at Mars. Pet Nutrition (PN) is the most vibrant category in the FMCG sector. As we work to transform this exciting category, a new program, Digital First, has been mobilized by the Mars Pet Nutrition (PN) leadership team. Digital First places pet parents at the centre of all we do in Mars PN, while digitalizing a wide range of business process areas, and creating future fit capabilities to achieve ambitious targets in top line growth, earnings, and pet parent centricity. The Digital First agenda requires Digitizing at scale and requires you to demonstrate significant thought leadership, quality decision making, deep technical know-how, and an ability to navigate complex business challenges while building and leading a team of world class data and analytics leaders. With Digital First, PN is moving to a Product based model to create business facing digital capabilities. Develop and maintain robust data pipelines and storage solutions to support data analytics and machine learning initiatives. Reporting to the Director-Data engineering solution. The role operates globally in collaboration with teams engineering teams across core products. What are we looking for? • Proven expertise in Data Engineering:, • Extensive hands-on experience designing, building, and orchestrating data flows and pipelines in cloud environments, specifically using Azure and Databricks., • Domain experience in Supply and R&D:, • Demonstrated track record working with data solutions in supply chain, manufacturing, or R&D domains, with the ability to connect multiple data sources to drive business decisions., • Leadership and project management:, • Experience leading data engineering teams, managing projects or project steps, and mentoring junior colleagues; ability to influence cross-functional stakeholders., • Advanced technical skills:, • Proficiency in developing logical and physical data models, implementing big data architectures (data lakes, analytical platforms), and troubleshooting complex data processing issues. What will be your key responsibilities? • Lead the design and implementation of scalable data architectures:, • Architect and oversee the development of data lakes, analytical platforms, and big data pipelines to support supply and R&D functions., • Manage and mentor the data engineering team:, • Provide guidance, support, and technical leadership to team members, fostering best practices and continuous improvement., • Drive cross-functional data integration and analytics:, • Collaborate with business stakeholders to connect disparate data sources, enabling actionable insights and supporting decision-making., • Ensure data quality, reliability, and compliance:, • Oversee data acquisition, conversion, and troubleshooting processes, ensuring robust, repeatable, and compliant data solutions in line with internal and external standards

About Us: We’re a team of passionate innovators empowering businesses through the transformative power of data, machine learning, and artificial intelligence. At Inference Group, our mission is simple: to help organisations unlock their true potential and drive sustainable growth. As we expand rapidly, we’re looking for creative, curious minds who want to make a real impact. Here, you’ll collaborate with leading experts in data, AI, and technology to help clients harness the full potential of their data. We believe in making the most of the journey. If you’re ambitious, inventive, and eager to contribute to the early stages of a fast-growing consultancy, we’d love to have you on board. We’ll explore the limitless opportunities of data and AI – driving excellence and having plenty of fun along the way. We’re looking for an experienced and driven Programme Manager to lead the successful delivery of complex, high-impact AI and Machine Learning initiatives. This isn’t just about overseeing projects — it’s about shaping client outcomes, driving commercial growth, and developing talented teams that deliver real impact at scale. What You'll Do: As Programme Manager, you’ll take ownership of a portfolio of projects and play a pivotal role in shaping how our business evolves. You’ll translate strategy into execution, ensure technical excellence, and build trusted client partnerships that deliver measurable business value. • Lead and own end to end delivery of a wide variety of client projects, • Oversee multiple concurrent projects across data, AI, and digital transformation., • Define structured delivery approaches, governance frameworks, and quality standards., • Ensure all workstreams meet milestones, budget targets, and client expectations., • Anticipate risks, remove blockers, and keep stakeholders informed with clarity and confidence., • Identify and convert new business opportunities within existing and new accounts., • Partner with leadership to define and achieve revenue targets., • Build compelling business cases, proposals, and statements of work., • Track and manage financial performance across your portfolio., • Inspire, mentor, and grow a diverse delivery team across technical, consulting, and client functions., • Foster a culture of accountability, curiosity, and continuous improvement., • Support capability-building across the organisation through playbooks, templates, and best practice., • Act as the senior point of contact for strategic clients, ensuring exceptional service and long-term partnership., • Understand client priorities, align them to delivery outcomes, and communicate complex technical ideas simply., • Collaborate closely with technical leads and data scientists to ensure solutions are feasible, scalable, and valuable., • Champion AI and ML excellence across the business., • Contribute to shaping our go-to-market offerings and service lines., • Bring market insights and emerging tech trends into our delivery model. What you bring • Proven experience in programme or portfolio management (within technology, consulting, or data/AI domains)., • Deep technical experience using and working with AI and Data Solutions, • Strong commercial acumen, with experience managing budgets, forecasts, and revenue targets., • Excellent stakeholder engagement and communication skills across C-suite and technical audiences., • Ability to manage cross-functional teams and suppliers in a fast-paced, innovative environment., • A genuine passion for data, AI, and emerging technologies, and curiosity to stay ahead of the curve., • Empathy and people leadership: you know how to bring out the best in others. Join us, and you’ll be at the forefront of the data and AI revolution, turning cutting-edge ideas into scalable, real-world solutions that enhance human creativity and decision-making. Our team delivers innovative, practical analytics solutions to customers worldwide, helping them thrive in an AI-driven world.

Role: Staff Front End Engineer Location: Hybrid - 2-3 days in London Office Compensation: Up to £170,000 + equity We’re working with a frontier AI-driven biology lab on a mission to redefine how science is done. Their research and engineering teams are building next-generation tools that help scientists visualise, understand, and design biology at an unprecedented scale. As a Front End Engineer, you’ll craft the visual layer of this transformation, designing interfaces that turn vast, complex biological data into intuitive, beautiful experiences. Your work will sit at the intersection of AI, design, and discovery, directly accelerating breakthroughs in life sciences. What you’ll do • Build responsive, high-performance web UIs that make complex scientific data explorable and engaging., • Lead frontend architecture, shaping reusable component libraries and design systems., • Collaborate with machine learning researchers, engineers, and biologists to translate cutting-edge science into intuitive digital tools., • Push the limits of frontend performance, accessibility, and interactivity., • Write and maintain comprehensive unit and end-to-end tests to ensure reliability at scale. You should have • Strong experience with TypeScript/JavaScript and modern frameworks (React or similar)., • A proven track record of delivering polished, performant, and elegant user interfaces., • Deep appreciation for UI/UX craftsmanship and accessibility., • Familiarity with HTTP, REST APIs, websockets, and secure frontend patterns., • A creative streak — you think visually and love turning complexity into clarity. Nice-to-haves • Experience with 3D or WebGL rendering, or other data-rich visualisations., • Experience building or maintaining design systems and component libraries. If you’re excited by the idea of using world-class engineering to accelerate world-changing science, building interfaces that literally help unlock the secrets of life then we’d love to hear from you.

About Us: We’re a team of passionate innovators empowering businesses through the transformative power of data, machine learning, and artificial intelligence. At Inference Group, our mission is simple: to help organisations unlock their true potential and drive sustainable growth. As we expand rapidly, we’re looking for creative, curious minds who want to make a real impact. Here, you’ll collaborate with leading experts in data, AI, and technology to help clients harness the full potential of their data. We’re entering our next phase of growth and are looking for a skilled AI Engineer to broaden our engineering expertise — designing, programming, and training complex networks of algorithms to expand our AI programmes. What you'll be doing In this role, you’ll evaluate and compare algorithm performance using large, real-world data sets. Design and implement machine learning algorithms. Undertake data mining from multiple sources to gain insights that accelerate algorithm and model performance. Play a pivotal role in supporting client objectives through AI-driven insights that enable better business decisions and strategic planning. This is a hands-on, high-impact role for someone who is creative, curious, and technically skilled and loves working across the intersections of software engineering, data science, and AI innovation. • Design, develop, and deploy AI/ML models using Microsoft Azure technologies., • Build, train, and fine-tune machine learning models and algorithms to solve business challenges., • Assess algorithm performance against large, real-world data sets., • Support and oversee ongoing AI/ML engineering projects and delivery for multiple clients., • Implement scalable, production-ready AI solutions using best practices in MLOps., • Collaborate with consultants, clients and data engineers to deliver robust, high-value client solutions., • Contribute to the continuous evolution of our AI capabilities by identifying and applying emerging tools and techniques. Location: This is a remote role but we are ideally looking for someone in London. What You Bring We’re looking for someone with a strong foundation in programming, software engineering, and data science, with a track record of delivering engineering projects that realise the potential of AI/ML. You’ll bring experience in some or all of the following: • Hands-on experience delivering AI/ML engineering projects, ideally within a consultancy or data-driven business., • A deep curiosity for ongoing development in AI/ML and emerging tech., • Confident, credible and able to communicate internally and externally, • Analytical mindset with a passion for solving complex, real-world problems., • Excellent communication and collaboration skills — you enjoy working in a team that values learning and transparency., • Deep experience across the Microsoft Azure ecosystem:, • Azure Machine Learning (Azure ML), • Azure Kubernetes Service (AKS), • Azure Data Lake Storage, • Azure Cosmos DB, • Azure SQL Database, • Azure DevOps, • Power BI, • Azure OpenAI Service We believe in making the most of the journey. If you’re ambitious, inventive, and eager to contribute to the early stages of a fast-growing consultancy, we’d love to have you on board. We’ll explore the limitless opportunities of data and AI – driving excellence and having plenty of fun along the way.

Build the most accurate putting simulator for mobile. We’re PuttOUT - a design-led brand known for inventive and beautifully made golf training products. Now, we’re bringing that same spirit of quality and innovation to software: a putting simulator for iPhone that pairs with our ‘AirBreak’ putting platform, using on-device machine learning to turn putting practice into interactive game modes and skills challenges. What you’ll do: • Lead development of our iOS putting simulator app – evolve a working MVP that already detects the playing surface, balls and putts into a stable, production-ready app., • Refine computer vision - real-time object detection and tracking using Core ML / Vision (or similar frameworks such as OpenCV or PyTorch)., • Balance accuracy and performance - deliver fast, thermally efficient gameplay on iPhone., • Collaborate directly with our CEO (a former developer) and Chief Product Officer, to make key architectural decisions., • Own the codebase – build on our MVP or start from scratch to create well-structured and maintainable code. What you’ll bring: • Strong track record of shipping iOS apps in Swift using native frameworks., • Experience integrating and optimising on-device machine-learning or computer-vision models., • Engineer for accuracy and responsiveness - balancing performance and thermal limits while keeping the codebase simple to test and extend., • Able to explain decisions and trade-offs clearly to non-technical colleagues. Why join PuttOUT? We’re a small, ambitious team that values flexibility and craft. You’ll see your work in the hands of real golfers worldwide, used in coaching sessions, home practice, and pro shops, and have real ownership of how the product evolves. Hybrid working (ideally two days a week in London, flexible for the right UK-based candidate). Salary £70 – £80k + benefits. How to apply Apply through LinkedIn or email with the subject line: “[Your Name] / Lead Developer” Include: • A short note on why this role interests you (max 1 page), • Your CV (we care more about impact than job titles) Applications reviewed on a rolling basis, and we will schedule interviews promptly. Please note that we are unable to sponsor visas for this role.

Team: Frontend Location: London (On-site; Liverpool Street) Employment Type: Full-time and Permanent Remuneration: £90–120k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Microsoft, Bloomberg, Google, AWS, and WhatsApp (Meta). We are backed by prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of a web-based application for Machine Learning workloads. We put strong emphasis on user experience, aesthetics and pixel-perfect design. You will be working closely with the Machine Learning team to understand the underlying concepts and user flows; however, you are not required or expected to have background in Machine Learning. This is a senior-level role, and we are looking to hire a software engineer with background in product design, UI/UX design, and with a strong sense of aesthetics. Portfolio We would love to see your recent frontend works! If possible, please include the link(s) to your portfolio in your CV. In this role, you will: • Design and develop web-based user interfaces using TypeScript and React., • Lead projects from inception to launch and beyond, having a high degree of autonomy and ownership over your work., • Work closely with the founding team and contribute towards best practices, standards, and culture of the company., • Work with a graphic designer on the creation of original visual assets., • Co-hire your future colleagues. Our tech stack: • We use and leverage AWS, Cloudflare, and GitHub as much as possible., • The codebase is written in TypeScript, React, Vite, TanStack, and Radix UI., • We use Figma for wireframes and ideation., • We are highly confident in our backend API schemas and functionality. What we are looking for: • Frontend development: 5+ years of industry experience in frontend engineering, developing and designing responsive web applications using TypeScript., • Excellent knowledge of the frontend fundamentals: In-depth knowledge of the core technologies, including HTML5, CSS3, TypeScript and React., • Design systems: Understanding of popular design systems, such as Google Material Design 3 or Apple HIG., • Leadership: A track record of leading complex projects., • Problem solving: Strong analytical problem-solving skills and attention to detail. You have the ability to break down complex projects into actionable tasks., • Collaboration and communication: Excellent interpersonal and communication skills, with technical and non-technical stakeholders. Nice to have: • Visual design: Background in graphic design and/or visual arts., • Open-source: Contributions to and experience in open-source projects., • Startup experience: Experience with a startup work environment and wider ecosystem. Why join us? • Work in an environment conducting cutting-edge research in AI., • An official role title of “Founding Engineer” – make an impact on day one., • Competitive salary, equity and benefits package., • 28 days + public holidays allowance., • Opportunities for professional growth and progression with your career., • Work on challenging engineering problems that have a real impact on the industry., • Work with high-profile customers and technology partners.

We are looking for Senior Applied Scientist to lead the design and deployment of cutting-edge AI-powered digital identity solutions. Join our team and collaborate with engineers, data scientists, and researchers to shape the future of secure authentication. What you will be doing: • Provide technical leadership for a team of highly capable applied AI scientists, fostering a culture of creativity, technical depth and excellence., • Initiate, plan and drive projects that will bring the next generation of digital onboarding products to the real world that can withstand the most aggressive and determined fraud attacks., • Design and build high performance end to end systems spanning all parts of the identity verification application from data acquisition, data processing, and post processing., • Mentor and work with junior scientists to research and deliver innovative technologies that utilize every bit of signal in the data., • Participate in hands-on machine learning research and deliver the results of the research in the form of new products., • Communicate technical vision and roadmap at multiple levels within the organisation and externally., • Publish research results in national and international conferences and scientific journals. Represent Entrust at national and international scientific conferences., • Contribute to filing patents. Essential Skills: • Strong experience in machine learning and computer vision, including industry experience deploying ML models to production., • Track record of successfully delivering high performance ML-driven products., • Worked with customers to impactfully solve their problems., • Deep understanding of machine learning theory., • Strong coding skills in Python and hands on experience using at least one of the deep learning frameworks Tensorflow or PyTorch. Desirable Skills: • Technical experience in uncertainty modelling, explainable machine learning techniques, out-of-distribution detection, life-long learning, and related fields., • Technical experience with signal processing and image processing techniques., • Working knowledge of cloud computing (preferably AWS) and tools and technologies such as Kubernetes, Docker, Git, etc.. Where you will be: At Entrust, we have a distributed workforce. This role will be based as advertised on the job description. We have a hybrid model, and you can choose to work fully remote, or come to our offices! We let all our employees choose what’s best for them. Benefits: We're committed to making Entrust a fantastic place to work, so we go to great lengths to give you what you need to succeed. You’ll receive: • 25 days annual leave plus a day off for your Birthday., • Two paid volunteering days per year. *, • Bupa Private Medical and Dental Insurance*, • Life Assurance (3x Annual Base Salary) *, • Pension with The People’s Pension (employer contribution 4% of base salary) *, • Generous paid parental leave, • Free mental health coaching provided online, • Life enrichment allowance of up to £80 per month to use for services including gym, yoga, fitness classes, massages, childcare, and therapy, • Dedicated learning opportunities including using tools like Learnerbly with availability to use for learning resources such as books, coaches, conferences, courses, podcasts, and more, • Our open and transparent culture is reflected in our “Better Together” motto and we bring this to life by meeting once a week for our global weekly roundup (OnThursday); holding quarterly team socials, and other company-wide social events, • Expense up to £300 (or local equivalent) to purchase workstation setup equipment, • The opportunity to become a member of Entrust’s resource groups to learn different skills in our belonging groups About Entrust Entrust is an innovative leader in identity-centric security solutions, providing an integrated platform of scalable, AI-enabled security offerings. We enable organizations to safeguard their operations, evolve without compromise, and protect their interactions in an interconnected world – so they can transform their businesses with confidence. Entrust supports customers in 150+ countries and works with a global partner network, we are trusted by the world most trusted organizations. For more information, visit ___. Follow us on, ___, ___, ___, and ___ For more information, visit . Follow us on, , , , and NO AGENCIES, NO RELOCATION

Senior Software Engineer II – ML Platform & GenAI (relocation to dubai) Location: Dubai, United Arab Emirates As part of the Machine Learning Platform & Generative AI Applications team, this role sits at the intersection of engineering, data science, and product development. The team builds the foundational tools that power intelligent and engaging user experiences across multiple business verticals. This is an exciting opportunity for a Senior Software Engineer with expertise in GenAI and platform engineering to contribute as a hands-on technical leader. You will help shape the next generation of AI-driven services by building scalable infrastructure and driving innovative applications from concept to production. Key Responsibilities • Design and implement scalable services, APIs, and workflows to support GenAI-driven feature development., • Collaborate on flagship GenAI applications, such as:, • Retrieval-Augmented Generation (RAG) powered support systems, • AI copilots for partners or drivers, • Marketplace-level forecasting and decision-support tools, • Define and evolve platform architecture to ensure reliability, scalability, cost-efficiency, and security., • Build platform capabilities such as:, • Prompt versioning, • Evaluation dashboards, • Real-time user feedback systems, • Promote MLOps best practices and responsible AI by establishing robust monitoring, guardrails, and launch protocols., • Mentor team members and contribute to a culture of engineering excellence through code reviews, workshops, and knowledge sharing., • Collaborate with cross-functional teams including product managers, designers, and data scientists to translate high-level ideas into executable engineering tasks. Qualifications & Requirements • 7+ years of professional experience in software engineering with strong design principles and system architecture knowledge., • Proficiency in programming languages such as Python, Java, Go, or similar., • Experience working with Generative AI and ML infrastructure, including:, • Fine-tuning transformer models, • Managing embeddings, • Building RAG pipelines, • Familiarity with vector databases (e.g., Pinecone, Milvus, Weaviate) and semantic search techniques., • Strong foundation in cloud infrastructure, networking, security, CI/CD pipelines, and observability., • Experience with cloud platforms (AWS, GCP, etc.) or database internals., • Proven track record of delivering end-to-end projects and mentoring engineers., • Direct experience with ML platforms and MLOps is required.

Company Description At Affinity Labs, we’re building the future of company creation, a full-stack AI venture studio that partners with content creators to co-found authentic, scalable software businesses. By combining AI-native development with creator-led distribution, we're pioneering a new model of monetization by to rapidly build, launch, and scale digital ventures aligned with creators and their audiences. We aim to launch ventures 10x faster and cheaper than traditional methods using our internal "AI factory": a multi-agent architecture, reusable component libraries, and a growing knowledge graph that learns from every product we ship. Role Description This is a full-time on-site role for a Founding Engineer, located in the London Area, United Kingdom. The Founding Engineer will be responsible for leading the technical development of new software products, collaborating closely with content creators and their management teams, and implementing AI-driven solutions. The role also involves hands-on coding, system architecture design, and ensuring scalability and reliability of the software. The Founding Engineer will work in a fast-paced, dynamic environment and contribute to the overall strategy and growth of digital ventures. Responsibilities • Code with AI-first speed. Use AI to turn product specs into production-ready React, Supabase, and serverless back-ends in days, not weeks., • Architect for scale (and scrappiness). Apply clean, hexagonal patterns so v1 can evolve without rewrites., • Prototype → pilot → product. Move fast through validation loops: hack the MVP, shadow users, ship the fix, repeat., • Wear many helmets. One sprint you’re spinning up CI/CD; the next you’re tweaking prompts or jumping on a creator livestream to debug user feedback in real time., • Set the engineering culture. Establish the rituals, docs, and testing standards that future hires will learn from you. Requirements • Full stack developer, • AI-native developer that has used or experimented with the latest AI development tooling, • Strong coding and software development skills in languages and with tools such as ReactNative / Flutter / Next.js, Supabase / Postgres, Python, • Experience in system architecture design and implementation, • Knowledge of AI technologies and machine learning algorithms. You track the latest AI tools, play with new MCPs, and deploy multi-agent systems, • Experience in startup environments and rapid product development, • Bachelor's or Master's degree in Computer Science, Engineering, or related field, • Action oriented with strong bias toward rapid execution and experimentation. Nice to Have's • Prompt-engineering or fine-tuning experience, • Familiarity with Stripe, Discord, TikTok or other creator-economy tools, • Side hustle, hackathon wins, or open-source contributions, • Shipping Experience: You’ve shipped AI side projects, or research, that prove you can learn fast and finish. Why this role is a-career launchpad • Own the code & the company. You step in as Founding Engineer #1, receiving a meaningful equity stake from day one., • Ship faster with AI at your side. We’ve baked AI tools into our workflow so you spend time solving problems, not yak-shaving boilerplate., • Ride a rocket, not a conveyor belt. Affinity Labs is a venture studio that partners with top content creators to turn influence into scalable software. Think “Prime for software”, • Grow like crazy. You’ll architect, build, and launch multiple products each year. The shipping reps you’ll get in 12 months here would take 3 - 4 years in a typical startup., • Learn from builders, not bosses. You’ll work shoulder-to-shoulder with a founding team that has scaled VC-backed startups, closed multi-million-pound term sheets, and shipped products used by millions.

We are a small London startup with the ambition to change education with ML-powered tutoring. Our flagship product is a mobile application for teaching English to intermediate and advanced learners. We’re on the verge of solving one of the biggest challenges in education – making high-quality, personalised learning accessible to everyone. We are building a fundamental model for education - one that can accurately predict student knowledge and orchestrate lessons, adapting to the students needs. We’re looking for a Senior ML Engineer with a proven track record of delivering ML models to production. What you will do 🚀 • Build fundamental models for education - solving the ultimate learning task of predicting student knowledge and optimal ‘next task’, • Work with a vast amount of unique data - we have data from over 1M language tests, including text and voice data, • Create brand new dictionaries, applicable to any context - right now it’s the English language, but in the future it could be other languages or even subjects such as Mathematics, • Analyse large amounts of diverse data - including data from every movie, book, and song, • Work in a cross-functional team and communicate with backend engineers and product managers, • Create new types of tests for language learners to gather more test results, analyse them, and build prediction models based on these results, • Optimise and fine-tune machine learning models for performance, scalability, and accuracy Essential skills 🙏 • Complete end-to-end experience - from finding and cleaning data all the way to monitoring models in production, • Experience working with entire ML systems and data pipelines in large-scale production systems, • Experience building automated data pipelines, • Strong understanding of CI/CD pipelines and automation tools for efficient model deployment and monitoring, • Strong understanding of neural networks, CNNs, RNNs, LSTMs, and transformers, • Great knowledge of NLP algorithms, • Expertise in Python and PyTorch Desirable Skills 👌 • Can speak, or learning to speak, more than one language, • Experience with reinforcement learning, • Knowledge-sharing experience (tech talks, articles, YouTube videos, etc.), • Experience using voice data in ML models What we can offer ✨ • A real-deal startup adventure: you'll be hopping on a major project while it's still in the works!, • Freedom to suggest, implement, and test ideas, • Unlimited learning & development budget (courses, conferences, books etc.), • Lunch provided by the company every day, • Regular social events, • 25 days annual leave + public holidays, • Work from our London office Interview Process 🧪 • 3 interviews, which will be mixture of technical and non-technical tasks, • If all the interviews are successful, we’d like to invite you to 2 or 3 paid trial days, or to complete short project remotely with us, to learn what it’s like to work at Glite

A brilliant opportunity for a talented Graduate to work as a Product Specialist, joining a market-leading disruptive software technology firm in London. Offering excellent training, career progression and prospects, this is a unique opportunity to work for a rapidly expanding machine learning software house. This is an ideal time to join this growing organisation and be guided by some of the brightest minds in this field. On a daily basis, you will be working closely with the sales team to deliver Proof of Concepts and assist with live customer projects for a machine learning platform. Location: Central London– 3 days in office / 2 days remote Salary: Negotiable + bonus + healthcare, pension etc. Requirements for Product Specialist – Graduate Level • A minimum of a 2.1 bachelors from an internationally renowned University in a STEM or Law related discipline, • At least ABB at A-Level or equivalent UCAS points (please ensure A-Level grades are included on your CV)., • Basic scripting knowledge in Python or Bash, • Excellent customer-facing skills, • You have a sales spark - while this role isn't a focussed sales role, this is required due to the nature of the role, • A motivated self-starter with a problem-solving attitude, • Strong aptitude for picking up technologies, • Ability to work with autonomy and as part of a team, • Great communication skills with fluent spoken and written English Responsibilities for Product Specialist – Graduate Level • You will be the main point of contact and liaise with clients, internal teams (predominantly the tech team), • Manage live customer projects from planning to final review, • Provide customer training to new and existing customers, • Deliver workflow advice to customers using the product, • Identify significant new projects, • Basic troubleshooting, and escalation of issues to the tech team, • Gain an in-depth understanding of the company’s technology so you can advise customers how to import/export data, • Provide updates to the management team on accounts What this offers • Working for an industry-leading software company who have a fantastic track record of successfully hiring and training graduates, • An exciting opportunity supporting projects on a machine learning platform, • A good remuneration and benefits package Applications If you have top academics and would like to apply, we would love to hear from you. Please ensure when applying you include your degree classification/GPA and your A Level grades (or UCAS equivalent) on your CV. Please send an up-to-date CV via the relevant link. 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 emailing (if this email address has been removed by the job-board, full details for contact are available on our website). Keywords: Entry-Level / Trainee / Graduate / Technology Solutions Specialist / AI Product Expert / Customer Success Specialist / Product Relationship Manager / Technical Sales Consultant / Product Advocate / Client Solutions Specialist / Technology Integration Specialist / Customer Engagement Specialist / Solution Architect / Software Engineer / Product Consultant / Customer Experience Manager / Technology Specialist / Product Liaison Officer / Sales Support Specialist / Implementation Consultant / Customer Technology Advisor / Python / Bash RedTech Recruitment Ltd focus on finding roles for people leaving academia entering industry. Even if the above role isn’t of interest, please visit our website to see our other opportunities. We are an equal opportunity employer and value diversity at RedTech. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

AI Engineering Leader — R&D Ref:KM46818 Seeking an AI Engineering Leader to drive research and development of advanced AI technologies (including machine learning, deep learning, large-scale language models, and multimodal systems) and lead the engineering effort to prototype, validate, and integrate those technologies into practical mobility solutions. The role includes setting technical strategy, collaborating with cross-functional teams, and engaging with external research partners across Europe. TYPE: Full-time SALARY: To be determined based on experience START: flexible LOCATION: United Kingdom (South East — near London). Exact location will be disclosed to shortlisted candidates Company overview A major automotive-related R&D centre focused on researching and developing enabling technologies derived from cutting-edge European research and industry trends. The site contributes to the company’s autonomous driving and MaaS (Mobility-as-a-Service) initiatives by identifying and integrating valuable technical elements. The client's name is kept confidential for this posting. Key responsibilities • Lead research and roadmap development for advanced AI technologies, • Build prototypes and proof-of-concepts, conduct evaluations, and transition successful results toward implementation, • Provide technical leadership in software and system design with attention to performance, safety, and scalability, • Coordinate with cross-functional teams (software, sensors, systems, product owners) to drive integration, • Identify and manage collaborations with external research institutions and industry partners; perform technology scouting, • Recruit, mentor and grow engineering talent; support hiring and long-term team development, • Contribute to MLOps practices and help establish deployment pipelines and CI/CD for model and system rollouts Required experience & skills • Practical experience in advanced AI (machine learning, deep learning, or large language/multimodal models), ideally with leadership responsibility in research or development projects, • Strong Python implementation skills and experience with ML frameworks (PyTorch, TensorFlow, etc.), • Proven track record of designing, implementing, and evaluating complex technical solutions, • Experience leading technical teams or projects and making technical decisions, • Professional proficiency in English (written and spoken) for documentation and external communication Preferred experience & skills • Background or knowledge in autonomous driving, robotics, sensor fusion, multimodal perception, or planning/control, • Experience operating and optimizing large-scale models, cloud/edge infrastructure, and MLOps pipelines, • Familiarity with C++, ROS, or embedded/vehicle-grade development workflows, • Master’s or PhD in Computer Science, Machine Learning, Robotics, or related fields, • Experience transitioning from other industries (e.g., tech, research labs, robotics, mobility startups) into applied mobility R&D, • Japanese language ability is an advantage but not required *When contacting us, please include the job reference number (Ref: KM46818) at the top of your message. If your application is successful, you will be contacted within two business days. We regret that due to the high volume of applications we receive we cannot provide feedback on individual CVs.

Staff Backend Engineer Location - London hybrid (once per week onsite, minimum twice monthly) Salary - 130k-160k+ bonus/benefits + equity Our unicorn client is a fast-growing technology company in the mobility and insurance space. They're looking for a Staff Backend Engineer to take on one of their most senior individual contributor positions, providing hands-on technical leadership while helping define the engineering culture. This is a rare chance to have genuine impact on the technical direction of business-critical, data driven systems with AI at the centre. You’ll work across multiple teams, shaping architecture, setting high standards, mentoring engineers, and collaborating with stakeholders to deliver real user and business value. The Opportunity • Drive technical strategy and system architecture across multiple teams., • Tackle complex engineering challenges end-to-end, delivering the most critical components yourself., • Champion engineering best practices—from design and implementation to testing, observability, and scaling., • Collaborate with product, data, and business teams to align priorities and ensure technical solutions meet real business goals., • Mentor and coach engineers and technical leads, helping them grow both technically and as leaders., • Act as a technical multiplier—bring clarity to ambiguous problems, unblock teams, and ensure sound decision-making through clear, informed communication., • Contribute to company-wide technical standards and improve processes and tooling for the broader engineering organisation. What We’re Looking For • Proven experience designing and delivering scalable distributed systems, ideally with Python or a mix of statically and dynamically typed languages., • Strong track record of writing production-quality code with a focus on maintainability, reliability, and performance., • Experience leading technical direction across multiple teams or projects—aligning engineers without relying on formal authority., • Ability to partner with senior stakeholders, balancing technical priorities with business needs., • Hands-on, pragmatic mindset—comfortable diving into code and systems to understand trade-offs and guide delivery., • Curiosity and a growth mindset—keen to expand into areas like machine learning systems or mobile integration if not already experienced. Why Join? • Our client offers a genuinely collaborative, inclusive environment with the freedom to take ownership and deliver impactful work., • Be part of a company where people support each other and celebrate collective wins., • Help define technical leadership standards and mentor the next generation of engineers., • Flexible hybrid working model: at least one day per week in their central London office, with balance for focused home-working., • Competitive salary, private medical insurance, company equity options, generous holiday allowance, and a broad package of wellbeing benefits., • Commitment to diversity and inclusion—they welcome applications from all backgrounds. If you're a senior backend engineer or staff-level individual contributor who wants to combine hands-on coding with strategic technical influence, and you're looking for a role where you can shape both systems and culture, we'd love to hear from you.

Overview GSK is a science-led global healthcare company with a special purpose: to help people do more, feel better, live longer. We are on an audacious journey to impact the health of 2.5 billion people over the next decade. Our R&D division is at the forefront of this mission, dedicated to the discovery and development of groundbreaking vaccines and medicines. We are transforming the landscape of medical research by integrating cutting-edge science and technology and harnessing the power of genetics and new data. By fostering a collaborative environment that unites the talents of our people, we are revolutionizing R&D to pre-empt and defeat diseases. Join us in our commitment to uniting science, technology, and talent to get ahead of disease together. Role/Project Overview At GSK we see a world in which advanced applications of Machine Learning and AI will allow us to develop novel therapies to existing diseases and to quickly respond to emerging or changing diseases with personalized drugs, driving better outcomes at reduced cost with fewer side effects. It is an ambitious vision that will require the development of products and solutions at the cutting edge of Machine Learning and AI, as well as extensive safety and robustness evaluations. We’re looking for a highly skilled full stack engineer to help us make this vision a reality. Competitive candidates will have a track record of writing and shipping quality, well-documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in drug discovery and the clinic. The Responsible AI team is built on the principles of ownership, accountability, continuous development, and collaboration. This fixed-term position is a unique opportunity to contribute to the development and evaluation of generative AI for drug discovery in a fast-paced environment, with a focus on impact and in collaboration with a large team. Our leaders will be committed to your career and development from day one. Key Responsibilities • Backend development of generative AI evaluations for a Python web application., • Integration of AI/ML components with frontend, backend, data and compute infrastructure., • Responsible for high quality software implementations according to best practices, including automated test suites and documentation., • Participate in code reviews, continuously improving personal standards as well as the wider team and product., • Liaise with other technical staff and data engineers in the team and across allied teams, to build an end-to-end pipeline consuming other data products., • Deliver ML- and data-driven insights on GenAI datasets. Minimum Qualifications • A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience as a professional ML engineer or data scientist., • Strong skills in Python, with experience in backend development and unit testing., • Knowledge of generative AI, specifically Large Language Models., • Knowledge of agile practices and able to perform in agile software development environments., • Strong knowledge of modern software development tools / ways of working (e.g. git/GitHub, DevOps tools for deployment) – should be able to show practice of commit early and deploy often. Preferred Qualifications • Experience with safety and/or robustness evaluations of generative AI, e.g. defining guardrails, red teaming or persona-based evaluations., • Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen),, • Knowledge of AI/ML evaluation and benchmarking approaches, experience with iterative improvement of AI/ML models and products., • Research experience (e.g., Master’s project, internship at research organization)., • Cloud experience (e.g. Google Cloud and cloud run preferred) including core web application infrastructure. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together. Inclusion at GSK GSK is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class. If you need any adjustments in the recruitment process, please get in touch with our Recruitment team () to further discuss this today. Important notice to employment businesses/agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are aUS Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit GSK’s Transparency Reporting ___ site.

Location: London, UK Domain Focus: High-Frequency Trading (HFT) Experience: 4+ years of professional experience in HFT or a related quantitative trading environment International Talent: Yes, international applicants are encouraged. Are you an exceptional quantitative trader with a proven track record of success, who is looking for a new challenge? This is a rare opportunity to apply your expertise in a fast-paced, intellectually rigorous environment. We're seeking high-calibre High-Frequency traders to join the thriving HFT community in London. Success in this region means more than just generating consistent alpha. So, we’re looking for elite professionals who are poised to lead the next wave of market innovation. 🔷 The Profile – Your Expertise We’re looking for strategic operators and algorithmic pioneers. You’ll need to be an individual with insatiable curiosity and a proven history of turning complex data into market-beating strategies. Career Path: • You've navigated a career focused on the practical application of advanced quantitative models to solve real-world trading problems., • Your professional journey is marked by an evolution from model development to full-cycle strategy execution, where you've taken ownership of the entire process., • You have a proven record of adapting to changing market dynamics, demonstrating an ability to pivot your expertise and thrive in new trading environments and asset classes. Projects And Performance: • You have a demonstrable track record of consistent P&L generation and effective risk management., • You can quantify your past achievements, such as developing new alpha signals or improving the efficiency of existing trading strategies., • You have a proven history of taking ownership of projects, from conception to live deployment, in collaboration with research and development teams., • You possess a profound understanding of market microstructure and have used this knowledge to capitalise on market inefficiencies. Professional Skills: • Your professional expertise is a blend of technical depth and strategic vision., • You have a superior ability to identify and interpret patterns in large datasets, translating them into actionable trading insights., • Your skills include project leadership, managing the critical trade-offs between speed and risk, and the ability to clearly articulate complex ideas to both technical and non-technical stakeholders. Technical Prowess: • You have a strong command of quantitative trading principles and are proficient with relevant technologies., • Deep knowledge of statistical modelling, machine learning techniques, and time series analysis., • Hands-on experience with back-testing frameworks and simulation environments., • A strong understanding of various market data APIs, trading protocols (e.g., FIX), and exchange connectivity. Qualifications, Licenses And Academic Achievements: • Strong academic background in a quantitative field., • A history of continuous learning and staying ahead of the curve in quantitative finance., • Any relevant professional qualifications or published research is highly valued. 🔷 Who You Are And What We Need • You excel in a collaborative, high-energy environment, building strong relationships with researchers and developers to achieve shared goals., • You’re highly motivated, self-directed, and thrive in a meritocratic culture where talent and results are rewarded., • You have an innate competitive drive, a strong sense of accountability, and a commitment to excellence. You’re motivated by the high-stakes, intellectual challenges of the markets., • You possess a sharp analytical mindset and constantly seek out creative solutions. You’re highly adaptable to new technologies and evolving market conditions, tackling complex problems with persistence and depth. If you're ready to lead with conviction and build something enduring, we want to hear from you. Apply Above Or Connect Directly: | ___ | Discreet conversations are always welcome (if concerned contact us directly)

Who are we? Look at the latest headlines and you will see something Ki insures. Think space shuttles, world tours, wind farms, and even footballers’ legs. Ki’s mission is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance carrier. It is the fastest growing syndicate in the Lloyd's of London market, and the first ever to make $100m in profit in 3 years. Ki’s teams have varied backgrounds and work together in an agile, cross-functional way to build the very best experience for its customers. Ki has big ambitions but needs more excellent minds to challenge the status-quo and help it reach new horizons. Purpose of the Role You will play an integral part in our Portfolio Underwriting team, to support with pricing and class level analysis providing an analytical review of the classes with a focus on the Property class, You will work to produce statistics, reports and MI working directly with brokers on new and renewal business and assisting Underwriters in the evaluation of risk in accordance with Ki’s Business Plan. On a daily basis, you’ll work to review renewal submission in line with the portfolio’s underwriting strategy and prepare necessary information for the underwriter. You will deliver technical pricing for insurance policies and reinsurance treaties, referring to underwriting and actuarial colleagues as required. You’ll leverage traditional actuarial as well as machine learning approaches to support Ki’s model, including carrying out risk level pricing involving data input into models and ownership of model output for your class. You’ll be expected to liaise with and maintain relationships with key brokers as well as working cross functionally with underwriting and actuarial team members. If you have a track record of success in supporting underwriting teams in providing technical pricing data, we’d love to hear from you. Both an understanding of actuarial concepts and class knowledge of specialty are desirable, but not essential. Our culture Inclusion & Diversity is at the heart of our business at Ki. We recognise that diversity in age, race, gender, ethnicity, sexual orientation, physical ability, thought and social background bring richness to our working environment. No matter who you are, where you’re from, how you think, or who you love, we believe you should be you. You’ll get a highly competitive remuneration and benefits package. This is kept under constant review to make sure it stays relevant. We understand the power of saying thank you and take time to acknowledge and reward extraordinary effort by teams or individuals. If this sounds like a role and a culture that appeals to you, let us know.

Who are we?👋 Look at the latest headlines and you will see something Ki insures. Think space shuttles, world tours, wind farms, and even footballers’ legs. Ki’s mission is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance carrier. It is the fastest growing syndicate in the Lloyd's of London market, and the first ever to make $100m in profit in 3 years. Ki’s teams have varied backgrounds and work together in an agile, cross-functional way to build the very best experience for its customers. Ki has big ambitions but needs more excellent minds to challenge the status-quo and help it reach new horizons. Where you come in? You will work alongside the Specialty Underwriters, with a focus on Contingency, Terrorism and Personal Accident portfolios. Within this role you will be a part of the decision-making process and help define, develop and deliver the underwriting strategy to ensure that profitable business is written. You will bring an understanding of the market and identify new opportunity areas, wordings and legal considerations of a class as well as leveraging existing relationships for Ki. What you will be doing: 🖋️ Based on existing class knowledge, you will work with the Underwriting Directors, Portfolio Underwriters and Portfolio Management Team to constantly update underwriting strategies by class. Collaborate with Portfolio Management to focus on areas of the portfolio and review based on distribution partner and market feedback, optimise the commercial lens of the algorithm by giving updates from the market, distribution partners and competitors, develop the revenue strategy with input from the algorithm's appetite to optimise revenue generation and business mix. What you will bring to the role: If you have a track record of success in building and executing commercially viable strategies, are an excellent negotiator, communicator and relationship builder and have an in-depth knowledge of Specialty insurance lines within the Lloyds market, we?d love to hear from you. If you are interested in working alongside underwriters, portfolio management and account management to drive underwriting performance this could be the role for you. What to expect during the recruitment process: 1. Initial recruiter screening call, 2. Interview with hiring manager, 3. Technical Interview (this may vary depending on the role), 4. Values Interview Ki Values: • Know Your Customer: Put yourself in their shoes. Understand and balance the different needs of our customers, acting with integrity and empathy to create something excellent, • Grow Together: Empower each other to succeed. Recognise the work of our teams, while celebrating individual success. Embrace diverse perspectives so we can develop and grow together., • Be Courageous: Think big, push boundaries. Don’t be afraid to fail because that’s how we learn. Test, adapt, improve - always strive to be better. Our culture: At Ki, we are committed to creating an inclusive environment where every colleague is valued and respected for who they are and can do the best work of their careers. Inclusion is a critical foundation of our business and people strategies and supports our vision of becoming a market-leading, digital and data-led specialty insurance business. An inclusive workplace fuels innovation because creativity thrives when everyone feels valued, respected, and supported to drive it. So, no matter who you are, where you’re from, how you think, or who you love, we believe you should be you. What we offer You’ll get a highly competitive remuneration and benefits package. This is kept under constant review to make sure it stays relevant. We understand the power of saying thank you and take time to acknowledge and reward extraordinary effort by teams or individuals. If this sounds like a role and a culture that appeals to you, apply now!

Backend Software Engineer Term: 6 Months Pay: £888 per day Inside IR35 Location: Kings Cross London Hybrid Our client see a world in which advanced applications of Machine Learning and AI will allow us to develop novel therapies to existing diseases and to quickly respond to emerging or changing diseases with personalized drugs, driving better outcomes at reduced cost with fewer side effects. It is an ambitious vision that will require the development of products and solutions at the cutting edge of Machine Learning and AI, as well as extensive safety and robustness evaluations. We’re looking for a highly skilled machine learning engineer to help us make this vision a reality. Competitive candidates will have a track record of writing and shipping quality, well-documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in drug discovery and the clinic. The Responsible AI team is built on the principles of ownership, accountability, continuous development, and collaboration. This fixed-term position is a unique opportunity to contribute to the development and evaluation of generative AI for drug discovery in a fast-paced environment, with a focus on impact and in collaboration with a large team. Our leaders will be committed to your career and development from day one. Key responsibilities • Back end development for a Python web application, • Integration of AI/ML components with frontend, backend, data and compute infrastructure, • Responsible for high quality software implementations according to best practices, including automated test suites and documentation, • Develop, measure, and monitor key metrics for all tools and services and consistently seek to iterate on and improve them, • Participate in code reviews, continuously improving personal standards as well as the wider team and product, • Liaise with other technical staff and data engineers in the team and across allied teams, to build an end-to-end pipeline consuming other data products Basic qualifications: • Demonstrated experience of Python backend development (e.g. using FastAPI), • Bachelors degree in a relevant field (including computational, numerate or life sciences), or equivalent experience, • Cloud experience (e.g. Google Cloud and cloud run preferred) including core web application infrastructure is essential, • Strong skills in Python, • Unit testing experience (e.g. pytest), • Knowledge of agile practices and able to perform in agile software development environments, • Strong knowledge of modern software development tools / ways of working (e.g. git/GitHub, DevOps tools for deployment) – should be able to show practice of commit early and deploy often Preferred qualifications: • Experience with Docker or containerized applications, especially architecture of multi-container applications, • Demonstrated experience with biological or scientific data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience, • Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen), • Knowledge of AI/ML evaluation and benchmarking approaches, experience with iterative improvement of AI/ML models and products, • Some experience with frontend software development (e.g. React)

About Tredence: Tredence is a global analytics services and solutions company. Our capabilities range from Data Visualization, Data Management to Advanced analytics, Big Data and Machine Learning. Our uniqueness is in bringing the right mix of technology and business analytics to create sustainable white-box solutions that are transitioned to our clients at the end of the engagement. We do this cost effectively using a global execution model leveraging our clients' existing technology and data assets. We also come in with strong IP and pre-built analytics solutions in data mining, business intelligence and Big Data. Role Overview As a Client Partner, you’ll work hand-in-hand with senior leaders to nurture and expand relationships with our strategic retail clients. You’ll champion delivery excellence, uncover new growth opportunities, and create lasting impact by helping our clients achieve their business goals You will act as the bridge between business, delivery, and solution teams — ensuring that advanced AI and data-driven solutions translate into measurable business impact for global retail clients. Key Responsibilities Client Relationship Management • Serve as the primary point of contact for day-to-day client interactions., • Support senior account leadership in managing key retail engagements and maintaining client satisfaction., • Participate in quarterly business reviews (QBRs) and track agreed business outcomes., • Work closely with senior account managers to identify upsell and cross-sell opportunities., • Contribute to proposals, statements of work (SoWs), and solution offerings., • Develop domain-specific insights, case studies, and client presentations., • Collaborate with Practice, Delivery, and Sales teams on client strategy., • Partner with project and delivery leads to ensure engagements run smoothly, on time, and within scope., • Track delivery milestones, flag risks early, and drive issue resolution., • 6–10 years of experience in client engagement, delivery management, or account coordination within consulting, IT services, Data /AI and digital transformation., • Proven ability to manage multiple stakeholders and drive execution in a matrixed environment., • Strong problem-solving, communication, and presentation skills. Why join Tredence? There is a reason we are one of the fastest growing private companies in the country! You will have the opportunity to work with some of the smartest, friendliest, hardest working people in the data analytics space. You will work with the latest technologies and interface directly with the key decision stakeholders at our clients, some of the largest and most innovative businesses in the world. We offer a 401k match; full medical, dental and vision benefits; a fun, collaborative team atmosphere and a work life balance. Our people are our greatest asset and we value every one of them. Come see why we’re so successful in one of the most competitive and fastest growing industries in the world.

Vice President, Technology Transformation (Data) Hybrid (London) Up to £140,000 + Discretionary Bonus About the Role We’re looking for a Vice President of Technology Transformation (Data) to lead data strategy, diligence, and execution across a leading private equity fund and its portfolio companies. This is a rare opportunity for a commercially minded data leader with deep experience in data strategy, transformation, and financial services, ideally within private equity or consulting. You’ll drive data-led value creation initiatives across multiple businesses, shaping how data is leveraged to unlock growth, efficiency, and innovation. What You’ll Do • Lead data diligence for new investments, identifying value creation opportunities and assessing data maturity., • Design and execute data strategies across the portfolio, driving improvements in data infrastructure, quality, and insight generation., • Conduct data maturity assessments and build strategic roadmaps for enhanced data capabilities., • Track and support transformation initiatives, ensuring portfolio companies deliver measurable outcomes from data-driven initiatives., • Collaborate with senior leaders across portfolio companies to embed best practices in data governance, analytics, and cloud-based architectures., • Drive operational excellence, enabling portfolio companies to use data as a catalyst for innovation and long-term growth. What We’re Looking For • Proven track record in data strategy, transformation, or advisory roles, ideally within private equity, or top-tier consulting with FS clients., • Deep understanding of financial services data ecosystems, including regulatory, operational, and technical aspects., • Hands-on experience designing and implementing cloud-based data architectures (AWS, Azure, or Google Cloud)., • Strong analytical mindset with the ability to translate complex data insights into clear business impact., • Working knowledge of machine learning and advanced analytics (e.g., TensorFlow, PyTorch, Scikit-learn)., • Exceptional stakeholder management skills, comfortable engaging with C-suite executives and senior investors., • Strong knowledge of data governance and compliance frameworks (GDPR, CCPA)., • Thrive in fast-paced, dynamic environments, managing multiple projects simultaneously. Please note: This role is unable to offer VISA sponsorship.

HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered on digital, engineering and cloud, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of $13+ billion. Senior AI Developer(Agentic Experience) Role Summary We are seeking an experienced Senior AI Developer. This role focuses on the design, development, and deployment of intelligent autonomous systems that can reason, plan, and execute complex tasks. The ideal candidate will build production-grade AI solutions that drive significant innovation and efficiency within our global financial services operations. Core Responsibilities • Architect Autonomous Agents: Design and implement robust, goal-driven AI agents using leading frameworks like LangChain, LangGraph, and the Google Agent Development Kit (ADK)., • Develop and Evaluate RAG Pipelines: Engineer and optimize end-to-end Retrieval-Augmented Generation (RAG) systems, including data ingestion, chunking strategies, and implementing rigorous pipeline evaluation frameworks for accuracy and performance., • Fine-Tune & Optimize LLMs: Implement advanced model customization techniques, including PEFT (Parameter-Efficient Fine-Tuning) and QLoRA, to adapt large language models for specialized financial tasks., • Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the Google Cloud Platform (GCP), with a strong focus on Vertex AI services., • Build Scalable Backend Services: Develop secure, high-performance APIs and microservices using Python and FastAPI to integrate agentic systems into the wider enterprise architecture. Technical Skillset Requirements Core AI & Frameworks: • Agentic Frameworks: Expert-level knowledge of agentic frameworks such as LangChain, LangGraph, Google Agent Development Kit (ADK), • LLM Expertise: Advanced Prompt Engineering and hands-on experience with model fine-tuning techniques including PEFT and QLoRA. Proven experience with models like Gemini, and Llama 3., • Programming & APIs: Expert-level Python and demonstrable experience building production services with FastAPI., • Cloud Platform: Mastery of GCP, particularly Vertex AI, Google Kubernetes Engine (GKE), and Cloud Functions., • Databases: Strong command of relational databases like PostgreSQL and familiarity with NoSQL solutions., • Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field., • 6-8 years of professional, hands-on experience in software engineering, with a primary focus on building and deploying complex AI/ML systems into production., • A proven track record of delivering scalable, reliable, and high-performance software solutions from concept to deployment.

Data Centre Recruitment Consultant £32,000 - £40,000 basic salary plus commission London Office | Hybrid Working | 3 Office days Welcome to Arrows Group, an international technology staffing and talent solutions agency. With offices in London, Amsterdam, and Berlin, we’ve built partnerships with established brands and rapidly growing tech start-ups to help them hire the best talent across the UK and Europe. We’re building a team of consultants who are passionate about placing top talent within technologies including Software Engineering, Data, AI & Machine Learning, ERP, Cloud, and Data Centre software or hardware. Our London team is hiring experienced recruiters who take ownership of their careers, thrive in high-trust environments, and value performance, collaboration, and strategy-driven relationships. The Role As a Senior Recruitment Consultant, you’ll grow your own desk — building relationships with new clients and placing the best technology professionals into their businesses, while cross-selling opportunities across the wider group. • Identify business opportunities within target clients/sectors, • Carry out business development activities to drive new business sales, • Offer recruitment and talent solutions to clients and candidates, • Negotiate favourable terms of business, • Cross-sell the other brands within Majar Group, • Source high-level candidates within your specific technology specialism, • Engage with active and passive candidates to provide an excellent candidate experience, • Create a strong personal brand and knowledge within your sector Experience • Minimum of 2 years’ experience within a 360 recruitment role, • Proven track record in business development and building new client partnerships, • Strong understanding of recruitment and sourcing processes, • Evidence of achieving and exceeding financial/revenue targets, • Experience within one or more of our core technology areas:, • Software Engineering, Data, AI & Machine Learning, ERP (SAP/Oracle/Salesforce/MS Dynamics), Cloud (AWS/Azure/GCP), or Data Centre software/hardware Perks and Benefits Holiday – 30 days annual leave, plus a 6-week sabbatical after 5 years of service Wellbeing – Hybrid working, home office setup budget, private healthcare, EAP with Health Assured, subsidised gym membership High Achiever Incentives – Up to 30% commission, bonuses for consistent billing, monthly and quarterly lunch clubs for top performers Socials – Christmas party, summer party, annual sports day, quizzes Arrows Group is an equal opportunities employer and positively encourages applications from all suitably qualified candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity. Please let us know of any reasonable adjustments required throughout the interview process or in support of your role.

Subscription Analytics Manager Location: Harmsworth Media Headquarters, Derry Street, HSK, London Position: Permanent Role Overview As Analytics Manager you will play a key role in driving data analytics initiatives that support subscriber growth and retention strategies at Harmsworth Media (the I Paper and the New Scientist). You will define and maintain reports to track key performance indicators (KPIs), build advanced customer segmentation models, and leverage predictive analytics to enhance business decision-making and identifying key insights to help identify audience opportunities for prospecting. Main Responsibilities • Lead data analysis initiatives across the subscriber lifecycle, from acquisition to retention and lifetime value., • Define and maintain reports to track KPIs, providing actionable insights to stakeholders across the business., • Develop, improve, and maintain customer segmentation models to provide deep insights into the subscription base and inform Product/Marketing strategies., • Utilise predictive analytics and retention modelling to forecast churn risk and customer behaviour, leveraging data science techniques., • Collaborate with cross-functional teams, including marketing, finance, product and editorial, to ensure data-driven decision-making aligns with business objectives., • Deliver actionable recommendations to optimise marketing spend, customer acquisition, product initiatives and retention strategies., • Responsible for innovating in how we leverage AI to access and give insights to the newsroom, marketing and product teams. Person Specification • 6+ years of experience in data and marketing analytics, preferably in a subscription-based business., • Strong commercial acumen, with the ability to translate data insights into business strategies., • Advanced analytical and quantitative skills, with expertise in statistical analysis and predictive modeling., • Proficiency in SQL, Python, or R, and experience with data visualization tools such as Power BI, Tableau, or Looker Studio., • Excellent stakeholder management skills, with the ability to communicate complex data findings to non-technical audiences., • Knowledge of data science and machine learning techniques applied to subscription-based businesses, including churn prediction and lifetime value modeling., • Experience in customer segmentation, cohort analysis, and marketing mix modelling (MMM). Example projects • The i Paper - POLARIS Dashboard build and automation, including the setting of the KPI's - which we settled on using the last 12 months averages. This basically covers the Key website traffic performance indicators that can be used simply in the board decks., • GA4 Analytics Glossary - to enable a clear understanding of the tags/events/parameters implemented on the website and their purpose. This is going to feed into a wider dmg Media initiative, where we are looking at reviewing our analytics implementation. Our Commitment We are committed to increasing diversity and maintaining an inclusive workplace culture. We welcome applications from all qualified candidates regardless of their ethnicity, race, gender, religious beliefs, sexual orientation, age, marital status, or disability. We are Disability Confident Committed. Please let us know if you require any recruitment documentation in other formats or if you require reasonable adjustments to be made during the recruitment process. Please be assured that any such information will be held separately to your recruitment application and will not be considered as part of the selection process.

Lead Data Scientist London - 3 days a week Up to £125,000 About the Company We’re working with a next-generation private markets firm that is redefining value creation by combining deep industry expertise with advanced AI and data science. This is a unique opportunity to join a company that partners directly with portfolio companies to drive measurable operational and financial performance—powered by data. They’re now hiring a Lead Data Scientist to lead high-impact analytics and machine learning projects across a wide variety of real-world domains. Working closely with a multidisciplinary team, you’ll have the autonomy to shape technical approaches while staying closely tied to commercial outcomes. This role is ideal for someone who enjoys solving complex, ambiguous business problems using data science, and wants to work at the intersection of technology, investment, and strategy. Key Responsibilities • Translate complex business problems into measurable data science solutions that deliver commercial value, • Lead the design, development, and deployment of predictive and optimisation models across multiple industries, • Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment, • Collaborate with data engineers and MLOps professionals to ensure scalable, production-grade solutions, • Conduct rigorous A/B testing and performance measurement to validate impact, • Act as a technical lead within project teams, mentoring mid-level data scientists and guiding model design choices, • Communicate findings and strategic insights to both technical and non-technical stakeholders About You You’re an experienced data scientist with a proven track record of using machine learning to solve real-world business challenges. You’re just as comfortable in Python as you are in a boardroom, and you’re motivated by measurable impact, not just model accuracy. Requirements: • Proven experience applying data science in commercial settings, • Proven ability to lead data science projects from concept to production, • Deep understanding of statistical modelling, predictive analytics, and optimisation techniques, • Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders, • Bachelor’s or Master’s degree in a quantitative field (e.g., Mathematics, Physics, Engineering, Computer Science) from a strong university, • Excellent communication skills and a collaborative mindset Please note: This role cannot offer VISA sponsorship

ABOUT DESCARTES UNDERWRITING Descartes was born out of the conviction that the ever-increasing complexity of risks faced by corporations, governments and vulnerable communities calls for a renewed approach in insurance. Our team brings together industry veterans from the most renowned institutions (AXA, SCOR, Swiss Re, Marsh, Aon, ...) and scientists on top of their field to bring underwriting excellence. After 6 years of existence, Descartes has secured a leading position in parametric insurance for weather and climate-related risks utilizing machine learning, real-time monitoring from satellite imagery & IoT. After a successful Series B raise of $120M USD, we launched Descartes Insurance, a 'full stack' insurer licensed to underwrite risk by the French regulator ACPR. With a growing corporate client base (400+ and counting), our diverse team is headquartered in Paris and operates out of our 19 global offices in North America, Europe, Australia, Singapore and Japan. Descartes is trusted by a panel of A-rated (re)insurers to carry out its activities. ABOUT YOUR ROLE Descartes Underwriting is seeking a Senior Underwriter (Parametric Insurance) to join the Underwriting Team based in London. Reporting to the Underwriting Manager & Director of Descartes UK, you will be a key contributor to the development and deployment of climate risk models for the pricing, underwriting and monitoring of weather-related parametric policies for corporates and public entities. Your responsibilities will include : • Collaborate with the business team and brokers to understand client needs and risk transfer challenges to successfully underwrite new business and renew accounts;, • Conduct thorough analyses for product design and coverage structuring in order to meet the needs and expectations of the clients;, • Improve and develop pricing models in order to model the risk, underwrite policies for corporates and public entities, and monitor the portfolio performance and accumulation;, • Contribute to insurance proposal and underwriting documentation in order to finalise policies for corporate clients and public entities worldwide;, • Operate in the London market, leading discussions and projects with brokers and partners;, • Collaborate with various divisions of Descartes in order to sustain the growth of the portfolio (e.g. R&D teams, Legal, Operations, Risk Management), • Technical & Business Leadership: help both the underwriting strategy and the review of the work conducted by Underwriting Data Scientists, providing guidance on technical modeling matters & business requirements. ABOUT YOU EXPERIENCE & QUALIFICATIONS • Graduated from a leading academic institution with a degree in mathematics, statistics, data science, physics or related;, • 4 years of significant experience minimum (post graduation) in data science or related;, • As a plus: track record of experience in leading a (small) team and managing business projects;, • Proficiency in Python (e.g. pandas, scikit-learn);, • Strong background in statistics and mathematics, showing clear understanding of probabilities;, • Eye for quality, autonomous and attention to detail;, • Fluency in English (written and verbal communication) is required;, • Interested in insurance industry and climate risks modeling;, • Strong team spirit;, • Ability to work under pressure;, • Eagerness to solve complex problems and technical challenges;, • Rigorous, creative and meticulous mind;, • Strong desire to learn and acquire responsibility;, • Results oriented with the ability to work in a fast-paced and multi-cultural environment. WHY JOIN DESCARTES UNDERWRITING ? • Opportunity to work and learn with teams from the most prestigious schools and research labs in the world, allowing you to progress towards technical excellence;, • Commitment from Descartes to its staff of continued learning and development (think annual seminars, training etc.);, • Work in a collaborative & professional environment;, • Be part of an international team, passionate about diversity;, • Join a company with a true purpose – help us help our clients be more resilient towards climate risks;, • A competitive salary, bonus and benefits. At Descartes Underwriting, we cherish value of diversity whatever it may be. We are committed to fighting against all forms of discrimination and for equal opportunities. We foster an inclusive work environment that respects all differences. With equal skills, all our positions are open to people with disabilities. RECRUITMENT PROCESS • Step 1: HR Interview with our Talent Recruiter, • Step 2: In person or remote manager interview, • Step 3: Technical online test (via Github), • Step 4: Remote technical interview, • Step 5: In person team interview to meet our team and discover our offices

Soldo is the proactive spend management solution that frees progressive businesses to accomplish more. Over 25,000 organisations across 31 countries use Soldo to end slow, messy, and inefficient spending, bringing financial agility and control over every expense. Soldo frees finance with a uniquely proactive approach to managing decentralised spending. By combining a powerful spend management platform, a user-friendly app, and versatile payment methods, Soldo automates expense admin to eliminate inefficiency in managing business spending. By proactively managing decentralised spend, organisations empower employees to spend when and where it's needed, keeping productivity high while avoiding month-end surprises. Founded in 2015 by Italian digital innovator Carlo Gualandri, Soldo is headquartered in London, with offices in Dublin, Milan, and Rome. We’re looking for people with big ambitions, cool heads, sharp minds, and warm hearts. Come and join us as we grow together. What's in it for you • Private healthcare – for you and your family, • Pension scheme, • Genuine career development opportunities (we love to see you succeed) - including your own annual £500 career development budget, • Access to training and development - including a mentoring programme, workshops and the opportunity to progress onto our leadership programme, • Flexible working options, including working from home, our Marylebone office, • 60 days’ work anywhere – even outside the UK if you want, • 25 days’ off a year, plus public holidays. Plus extra days off on Christmas Eve, New Year's Eve and on your Birthday, • Up to 2 volunteering days per year, • Your own personal company Soldo card, • Employee Assistance Programme, • Tax-efficient bike-to-work scheme The role The Head of Revenue Operations will be responsible for owning the systems, processes, and reporting that enable scalable, predictable growth across our go-to-market (GTM) teams. This role will work closely with the Sales and Marketing organisations while reporting into the Group Management Division, in order to ensure independent and GTM-wide visibility, planning and performance management. In addition to driving operational excellence, this role will partner with GTM leaders to shape and execute the overall GTM strategy. This includes defining and aligning the strategic levers of GTM execution, such as territory design, capacity and coverage modelling, and the connection between Sales and Marketing to support coordinated growth initiatives. You will directly own Sales, Customer Success and Partner Operations and partner closely with Sales, Customer Success, Marketing, Marketing Operations, and Finance to enable cross-functional alignment, implement systems to continuously monitor performance, and ensure our GTM machine is efficient, data-informed, and improving. Responsibilities GTM Execution • Partner with GTM leaders across Sales, Marketing, and Customer Success to execute the overall GTM strategy., • Connect strategic planning with field execution by overseeing processes such as territory design, capacity and coverage modelling, and interlock between Sales and Marketing for coordinated campaigns., • Drive annual and quarterly territory, portfolio, segmentation and capacity planning., • Partner with Finance and Leadership on scenario-based business planning (e.g., new geos, segments, pricing, product launches)., • Optimise org design, quota mechanics, and incentive modelling to align with strategic goals., • Define and lead a robust operational cadence to track GTM performance across our motions., • Build and maintain reporting dashboards, ensuring data accuracy., • Operate the forecasting cadence across all motions and manage the end-to-end pipeline health process., • Monitor pipeline coverage, aging, win rates, and conversion benchmarks, delivering actionable insights to Sales leadership., • Own end-to-end design and optimisation of Sales, Customer Success and Partner team processes., • Maintain and enforce rules of engagement, handoffs, and SLAs across teams., • Define business requirements for CRM workflows and system improvements, partnering with our GTM Tech team for execution., • Build, lead, and develop a best-in-class Revenue Operations team that acts as a strategic partner to GTM leadership., • Foster a culture of accountability, collaboration, and continuous improvement within the RevOps organisation., • Coach and mentor team members, ensuring strong domain expertise across planning, analytics, process, and systems. We're looking for someone who must have • Proven experience leading a Revenue Operations function in a high-growth B2B SaaS environment., • Demonstrated success supporting overall GTM execution, driving planning, forecasting, and reporting processes across Sales, Customer Success, Partnerships and Marketing., • Highly analytical, with a strong understanding of SaaS metrics, pipeline dynamics, and growth levers., • Experience supporting teams across different customer segments (e.g., SMB, Mid-Market, Enterprise) and geographies., • Expert in Salesforce, forecasting tools, and dashboarding platforms., • Strong understanding of territory and capacity planning, quota design, and compensation modelling., • Excellent communication and stakeholder management skills, able to engage credibly across C-suite and frontline teams., • Comfortable working in a hands-on capacity while simultaneously driving strategic initiatives., • Commercial acumen and the ability to challenge the status quo and identify opportunities to improve go-to-market effectiveness.

Lead/Principal Data Scientist London - 3 days a week Up to £135,000 About the Company We’re working with a next-generation private markets firm that is redefining value creation by combining deep industry expertise with data science and machine learning. This is a unique opportunity to join a company that partners directly with portfolio companies to drive measurable operational and financial performance. They’re now hiring a Lead/Principal Data Scientist to lead machine learning projects across a wide variety of real-world domains. Working closely with a multidisciplinary team, you’ll have the autonomy to shape technical approaches while staying closely tied to commercial outcomes. This role is ideal for someone who enjoys solving complex, ambiguous business problems using data science, and wants to work at the intersection of technology, investment, and strategy. Key Responsibilities • Translate complex business problems into measurable data science solutions that deliver commercial value, • Lead the design, development, and deployment of predictive and optimisation models across multiple industries, • Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment, • Collaborate with data engineers and MLOps professionals to ensure scalable, production-grade solutions, • Act as a technical lead within project teams, mentoring mid-level data scientists and guiding model design choices, • Communicate findings and strategic insights to both technical and non-technical stakeholders Requirements: You’re an experienced data scientist with a proven track record of using machine learning to solve real-world business challenges. You’re just as comfortable in Python as you are in a boardroom, and you’re motivated by measurable impact, not just model accuracy. • Proven experience applying data science in commercial settings, • Proven ability to lead data science projects from concept to production, • Deep understanding of statistical modelling, predictive analytics, and optimisation techniques, • Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders, • Bachelor’s or Master’s degree in a quantitative field (e.g., Mathematics, Physics, Engineering, Computer Science) from a strong university, • Excellent communication skills and a collaborative mindset Please note: This role cannot offer VISA sponsorship

A PhD level Machine Learning Scientist is needed to join this amazing research team based near King’s Cross. This is a unique opportunity to work at the forefront of AI research, contributing to projects that push the boundaries of what’s possible in machine learning. You will play a key role in designing, implementing, and advancing cutting-edge methods in: • Reinforcement Learning (RL), • Large Language Models (LLMs), • Optimisation for Deep Learning You’ll work alongside a team of world-class researchers, developing new approaches, publishing at top-tier venues, and translating research into impactful real-world applications. Experience Required: • A PhD in Machine Learning, Computer Science, Mathematics, Physics, or a related field, • A track record of publications at leading AI conferences (e.g., NeurIPS, ICML, ICLR, ACL) (This is essential), • Deep expertise in at least one of: RL, LLMs, or large-scale Optimisation for deep learning, • Good programming skills in Python and experience with deep learning frameworks, • A passion for advancing AI research and contributing to the global ML community Key selling points • Work on cutting-edge AI challenges with a talented, multidisciplinary team, • Collaborate with leading academic and industry partners, • Access to high-performance computing resources, • Publish your work at the leading conferences, • VISA sponsorship available If you’re driven by curiosity, thrive in a research-focused environment, and want to contribute to the next wave of AI innovation, then please apply today

About the Role Stax Recruitment is proud to partner with a rapidly scaling SaaS innovator in the search for a Product Analytics Lead. This is a hands-on, high-impact leadership role at the core of the company’s data strategy—responsible for building the foundation that enables intelligent, data-driven decisions across their platform, applications, and AI-powered experiences. This isn’t analytics as usual. You’ll be defining an AI-native, developer-first analytics platform where real-time data, customer context, and machine reasoning come together to deliver insights that go far beyond traditional dashboards. You’ll own the product vision and roadmap for a next-generation analytics engine—one that empowers both humans and agents to query, visualize, and act on data. You’ll also oversee the company’s in-app SDK for instrumentation and engagement analytics, transforming raw telemetry into actionable insights across product, support, and engineering workflows. This is a rare opportunity to shape the future of embedded and agentic analytics at scale. Key Responsibilities Define & Drive the Analytics Platform Vision • Build and scale a high-performance, low-latency analytics engine that supports embedded dashboards, cross-source joins, and both human and AI-native querying (e.g. Text-to-SQL)., • Ensure seamless interoperability with the company’s knowledge graph, customer 360 data, product workflows, and AI agents. Candidate Profile • 8+ years of product management or related experience with a focus on analytics platforms, embedded BI, or developer-oriented data tools, • Experience with SDK-based instrumentation, session replay, or in-app analytics, • Familiarity with technologies such as DuckDB or similar embedded query engines for in-process analytics, • Understanding of modern AI-native analytics paradigms (Text-to-SQL, natural language querying, agentic workflows), • Ability to design for both technical (engineering, data) and non-technical (support, GTM) audiences, • Proven track record of collaborating closely with engineering, AI/ML, and design teams to build performant, scalable systems Why This Role This is more than just building dashboards—you’ll be defining the next generation of analytics experiences. Think intelligent agents, embedded visualizations, and real-time decisioning, all powered by a unified graph of customer and product data. With an extensible SDK and AI-native architecture, you’ll have the opportunity to build something truly industry-defining. Stax welcomes applicants from all backgrounds. Due to expected application volume, we may not be able to respond to all submissions, but shortlisted candidates will be contacted for an introductory conversation.

Job Advert: Finance and Business Admin Manager Keepme is an AI-powered SaaS platform built specifically for the fitness industry, helping operators drive performance across their member acquisition funnel—from lead generation to sales conversion and revenue growth. Trusted by fitness operators across five continents, Keepme’s products blend automation, intelligence, and seamless integration to unlock scalable results. At the forefront of this is Antares, and our AI Sales Agent. It engages prospects instantly and intelligently across every channel—email, phone, WhatsApp, SMS, and web chat—responding in real time, booking tours, sending schedules, handling objections, and moving leads through the funnel without delay. It’s not a chatbot. It’s a sales engine that outperforms human teams and delivers measurable ROI from day one. Keepme is redefining how the fitness industry grows. We’re hiring a Finance and Business Admin Manager to be the operational anchor of our entire business. This is a pivotal, hands-on role where you own the essential financial, HR, and administrative processes that keep the company compliant and scalable. You won't just be executing tasks; you'll be the trusted guardian of our internal systems and financial health, providing essential support and access to critical information for the CEO & COO. If you're highly organised, intellectually curious, and thrive on building structure, this role is your chance to directly impact a high-growth SaaS story. Your core accountability is to ensure the business runs like a well-oiled, compliant machine. Finance and Reporting ownership • Cash Flow Management: Proactively update and maintain accurate cash flow models and financial spreadsheets, ensuring clear visibility on the company's financial runway., • Accounts Discipline: Manage the client invoicing process and be responsible for rigorous credit control, professionally chasing client payments to protect cash flow., • Accountant Liaison: Serve as the primary, highly organised contact for our external accountants, ensuring all financial data, expenses, and reconciliations are submitted accurately and on time for compliance and reporting., • Payroll & Commissions: Execute the monthly payroll process and meticulously track and update variable commission/bonus spreadsheets. HR & Executive Administration • HR Admin & Compliance: Own the full administrative HR lifecycle, including drafting and issuing HR contracts for new starters, managing personnel files, and ensuring basic employment compliance., • Data Room Master: Maintain and continuously update the company’s data room (financial, legal, and operational documents), ensuring the business is always "investor-ready.", • Executive Support: Act as the trusted right-hand EA-type support to the CEO/COO, handling confidential documentation, preparing materials for board/investor updates, and managing other high-trust administrative projects., • Ad Hoc Projects: Take on diverse administrative and operational projects as needed by the leadership team, demonstrating a willingness to jump in and solve any new problem. What we are looking for: • Trust and Integrity: This is non-negotiable. You must be impeccably trustworthy, given access to all financial, HR, and investor-sensitive data., • Experience Over Degrees: Proven experience (3+ years is highly advantageous) in a similar broad administrative, operations, or finance support role, ideally within a scaling SaaS or technology business. No specific Finance or HR qualification is required., • Intellectual Curiosity: A sharp mind that seeks to understand the "why" behind the process and actively looks for ways to improve efficiency and automation., • Execution Focus: A track record of being a highly disciplined and detail-oriented "doer" who thrives on process, accuracy, and getting things done., • Technical Proficiency: Advanced command of spreadsheet software (Excel/Google Sheets) and experience working with accounting platforms (e.g., Xero) and HR systems., • Communication: Excellent written and verbal communication skills for professional liaison with clients, accountants, and investors. Why Join Keepme: • High-Impact Role: Your work directly enables the growth of a company redefining a global industry., • Fast-Moving Environment: Be part of a founder-led team with momentum and a clear strategic vision., • Competitive Compensation: We offer a competitive base salary of £35 000 - £45 000 (plus benefits/pension), depending on experience., • Remote Working

Location – UK & Ireland Experience of machine tools required! The Role We are working on behalf of our client to identify a high calibre Sales Manager for the Medical, Automotive and Industrial sectors in the UK and Ireland. In this role, your expertise will be pivotal in shaping the commercial landscape across the UK and Ireland. This position requires a seasoned sales professional with a proven track record in machine tool sales. Sector experience may include: • Automotive, • Defence, • Energy, • Small & Large Precision, • Oil and Gas, • Med Tech The successful candidate will possess a deep understanding of machining high tolerance components crafted from a variety of materials. Your technical proficiency will be complemented by your ability to forge credible commercial proposals, showcasing the intrinsic value of products and services to a discerning clientele. Candidates with experience in the Med Tech and non-aero Transport sectors will find their skills particularly advantageous, as these areas offer additional avenues for business development. Your familiarity with the UK's manufacturing sector and your established network of senior management contacts will serve as a solid foundation for delivering exceptional results. Expect to spend approximately one week per month/6 weeks supporting business opportunities in Ireland, engaging with clients and stakeholders to reinforce the company's presence and influence within the region. This role is as much about technical acumen as it is about commercial agility, and your balanced approach will be key to your success. In return for your dedication and drive, you will be rewarded with a competitive remuneration package, comprehensive benefits, and the chance to be part of a forward-thinking team that values innovation and excellence. The Company Our client is a leader in high-precision machine centres — for milling, turning, and grinding workpieces of metallic, composite, and ceramic materials, serving the Aerospace, Energy, Industrial, Micromechanics, and Transportation sectors. In addition to its portfolio of machining centres, they provide integrated technology and maintenance services that significantly enhance customer quality and productivity. Ideal Skills and Experiences • 5+ years of experience in a machine tools sales role, • Intimate knowledge of the UK and Ireland industry and customer base for machining centres and tooling, • Degree or HND in Mechanical / Materials Engineering, • IT literate to produce professional quotations and retrieve relevant documentation, • Ability to work alone but also as part of a team, • Excellent communication and interpersonal skills, with the ability to build strong relationships with customers and internal stakeholders, • Proven ability to meet sales targets in a technical, capex sales environment, • Self-sufficient, with the ability to work completely independently as well as part of a close-knit team, • Highly fluent in English, able to converse technically Benefits • Competitive remuneration package, • Comprehensive benefits, • Opportunity to be part of a forward-thinking team that values innovation and excellence

ABOUT US Reflo (___) have burst onto the apparel scene to bridge the gap between sustainable clothing and high-performance premium sportswear. Our goals are monumental and go beyond selling a lot of gear - we aim to plant 1 million trees and recycle over 5 million plastic bottles in our first 5 years. That is something we can all be proud of. We are a start-up that has achieved great things in a very short existence; including signing multi-year international collaborations and bringing onboard Harry Kane as our first global ambassador and investor. We celebrate our vibrant work culture and boast that our external partners are treated well, therefore our internal environment should echo that. We have created awesome initiatives to ensure our team loves working here, including birthday leave, gym memberships, and a set number of “duvet days.” Plus, don’t miss out on asking about “The Dream Machine”! ABOUT THE ROLE The Senior Partnerships Executive will support Reflo’s partnership strategy by managing relationships with sports teams and events. This is a hands-on role focused on the execution of partnership projects, delivering excellent service, and ensuring seamless collaboration across teams. RESPONSIBILITIES Account Management: • Support the partnership managers with the contract delivery of teams and events as and when required., • Build and maintain strong relationships with partners, supporting communication on brand messaging, promotions, product updates, and more., • Manage execution of multiple partnership projects, working alongside marketing and sales teams to deliver high-quality results., • Collaborate with the product and production teams to ensure partner requirements are met, including forecasting and approvals., • Monitor timelines and critical paths to ensure apparel and partnership deliverables are completed to schedule., • Work with marketing to optimise the activation of partnership rights and campaigns., • Support logistics to coordinate the seamless booking, collection, and shipment of orders., • Support acquisition of new partnership opportunities that align with Reflo’s mission and commercial goals., • Assist in preparing proposals, pitches, and presentations for potential partners., • Represent Reflo at events to strengthen relationships and gather insights., • Contribute to internal process improvements for the partnerships team. ABOUT YOU ESSENTIALS • 3+ years’ experience in partnerships, account management, or sports marketing (apparel, sportswear, or consumer brand experience preferred)., • Strong project management skills with excellent attention to detail and follow-through., • Strong communication and interpersonal skills., • A natural collaborator who thrives in dynamic, fast-paced environments., • Passionate about sports, sustainability, and creating meaningful impact., • Comfortable managing multiple projects and priorities with agility., • Willingness to travel occasionally for events, activations, or meetings. IMPORTANTLY At Reflo, we thrive on collaboration and expect everyone to dive in beyond their core responsibilities! We believe in rolling up our sleeves and working together to achieve our collective goals. • Embrace a proactive, solution-oriented mindset, seeking opportunities to enhance the team's success and support the development of the sustainability mission across all areas of the business., • Contribute feedback on process improvements and workflow optimiszations for the company., • Share knowledge and expertise with colleagues to foster a culture of continuous learning and skill development.

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

🚀 Senior Agentic AI Engineer 🚀 Level: Associate Director Location: Remote-first, with occasional travel for client delivery Compensation: Competitive salary + bonus + benefits Why This Role? This is not “just another AI job.” We’re seeking engineers who can design and deploy agentic AI systems from the ground up — moving beyond demos into robust production systems. You’ll work directly with enterprise and public sector organisations, taking projects from PoC through to mission-critical deployments serving 100s–1000s of users. What You’ll Do • Design agentic systems – Own the agent loop (plan → act → reflect), orchestration (DAG/state machine), and memory management., • Build robust tooling – Create schemas, retries, rate limits, and SDKs for safe extensibility., • Engineer memory & knowledge services – Implement episodic/semantic memory, retrieval APIs, deduping, and summarisation agents., • Productionise at scale – Deploy containerised systems (K8s, serverless, GPU pools), implement CI/CD, observability, and auto-scaling., • Ensure robustness – Apply guardrails, cost/latency budgets, checkpointing, and critic/reviewer patterns., • Evaluate rigorously – Build automated evaluation harnesses, use golden sets, retriever validation, and drift monitoring., • Engage stakeholders – Run workshops, roadmap sessions, and maturity assessments, translating complex AI concepts into actionable strategies. What We’re Looking For Required: • Proven track record building and deploying LLM/agentic systems into production., • Strong software engineering foundations: orchestration, memory, deployment, monitoring., • Familiarity with agentic architectures (e.g. LangGraph, ReAct, CoT loops) and/or ability to build without frameworks., • Confident in client-facing settings: workshops, presentations, advisory roles. Preferred: • Advanced degree in AI, Computer Science, or related field., • Experience with PyTorch/TensorFlow, vector databases, RAG, and orchestration tools., • Background in start-ups (hands-on generalist) or consultancies (client-facing)., • Exposure to regulated industries., • Independent, entrepreneurial mindset; comfortable working with autonomy. Why Join? • Impact: Deliver production-ready agentic AI systems in real-world environments., • Innovation: Work on orchestration and deployment challenges that go beyond “glue code.”, • Reach: Remote-first role with opportunities for international collaboration., • Growth: Influence the direction of enterprise AI adoption and contribute to the wider AI ecosystem., • Culture: Join a fast-moving team operating at the frontier of applied AI. Agentic AI, Multi-Agent Systems, LLM Deployment, LangGraph, LangChain, RAG, AI Orchestration, AI Consultant, Software Engineering for AI, AI Productionisation, Autonomous AI Systems, AI Architect, AI Careers, AI Jobs Remote.