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Product Manager The business is currently at a pivotal stage in implementing a transformative workforce management platform. This solution leverages agentic AI and robotics to redefine how we manage our people and operations. Having partnered with a third party for the initial build, we are now seeking a Product Manager to lead the transition of this platform into a core, internal product pillar. You will join taking the reins to build a long-term roadmap that moves beyond tactical fixes and into sustainable, strategic growth. This role will report to the Head of Change and Strategy. To be considered for the the role you will require the following: Essential Criteria; EDUCATION QUALIFICATIONS & TRAINING • Educated to degree level or equivalent in relevant subject, • Agile experience, • Product management training EXPERIENCE • Proven experience as a Product Manager, • Exceptional change management and leadership skills, • Data-driven decision-making and analytical capabilities, • Excellent communication and collaboration abilities, • Ethical awareness in healthcare technology KNOWLEDGE AND SKILLS • Product management, • User Experience (UX) - Understanding of user-centred design, specifically for internal enterprise or workforce tools., • Market Research: Ability to analyse healthcare market trends., • Data and Analytics: Proficiency in data analysis for decision-making., • Strategic Thinking: Develop product strategy aligned with healthcare goals., • Stakeholder Management - Experience of influencing and managing stakeholders working in a matrix management structure., • Customer-Centric Approach: Gather and incorporate user feedback., • Communication: Effective communication with cross-functional teams., • Problem-Solving, • Project Management Tools: Use project management tools effectively., • Adaptability: Adjust products based on feedback and data., • Negotiation: Balance feature priorities among stakeholders., • "Player-coach" mentality: Comfortable alternating between high-level stakeholder management and detailed backlog execution. Desirable; EDUCATION QUALIFICATIONS & TRAINING • Experience in Health technology, • Strong understanding of healthcare regulations and standards., • Managing a team EXPERIENCE • Healthcare Industry, • Regulatory Compliance: Knowledge of healthcare regulations (HIPAA, FDA, GDPR)., • Clinical Workflows: Familiarity with patient care processes., • AI-driven products, • Workforce management tooling, • Data Security and Privacy: Awareness of data security in healthcare., • Healthcare IT Standards: Awareness of interoperability and data exchange., • Leadership: Guide teams toward product goals., • Ethical Decision-Making: Make ethical decisions in healthcare. OTHER JOB RELATED REQUIREMENTS • Ambitious, • Eager to develop and learn new things., • Able to work autonomously as an individual but also a strong team player., • Positive and pro-active ‘can do’ attitude with the ability to work under pressure., • Growth mindset Within this position, you will mainly be; Product Strategy & Roadmap Ownership: • Own and drive the product vision, strategy, and roadmap for Workforce Management Product, collaborating with Senior Leaders and the wider product team to ensure alignment with overall business goals and market opportunities., • Lead in-depth market research to identify healthcare trends, competitive landscape, and customer needs, serving as the primary source of truth for market insights., • Strategically decide on feature sets, balancing technical constraints, user requirements, and business goals to meet healthcare market demands. Provide clear strategic direction and input to the Product Owner for backlog prioritisation., • Own the end-to-end product research and development (R&D) process, including managing all associated activities, resources, and timelines to drive innovation and bring new product features to market effectively. Product Definition & User Focus: • Collaborate with healthcare professionals, regulatory experts, and cross-functional teams to deeply understand user needs and translate them into clear, actionable product requirements and specifications., • Work closely with business leaders to craft user-friendly and healthcare-compliant interfaces that prioritize patient safety and align with the product vision., • Leverage data and analytics to inform product decisions, monitor performance, and track key performance indicators to ensure product success. Governance & Compliance Management: • Ensure product requirements and design considerations support all relevant healthcare regulations (e.g., NHS digital compliance, MHRA & GDPR) and contribute to the overall product governance framework by preparing and managing required documentation for risk management and design control processes., • Identify potential product risks and challenges, contributing to the development of mitigation strategies and preparing necessary documentation for the Director of Product & Services., • Ensure that all essential product documentation, including user manuals, training materials, product policies, and Standard Operating Procedures (SOPs), is accurate, up-to-date, and accessible., • Actively contribute to the product governance framework by ensuring that product strategy, roadmap, and requirements adhere to established processes and regulatory standards, and by supporting the creation of necessary documentation for design control and risk management. Team & Stakeholder Collaboration: • Keep executive leadership and stakeholders informed on product progress, challenges, and opportunities, communicating the product strategy within the business., • Provide strategic oversight and guidance to the wider product team, ensuring alignment with product strategy and objectives., • Provide leadership for allocated product team members.

Field Service Manager Imaging Systems East Midlands - Nottingham, Derby and Leicester • Basic Salary £60,000 to £70,000, • Car / Car Allowance, • Pension, • Healthcare, • Excellent Benefits Package An excellent opportunity for experienced Field Service Managers, Regional Service Managers, Field Service Supervisors or Team Leaders from any high value capital equipment sector to join a global technology giant in the Imaging Systems marketplace. The Company – Field Service Manager, Imaging Systems • Well respected supplier of sophisticated imaging systems, • Supported by a truly multi-national 'blue-chip' technology group with representation in over 150 countries, • Their commitment to investment in Research and Development is second to none in their industry, ensuring that they remain a market leader, • At the core of their business lie product innovation, excellent customer service and good people The Role – Field Service Manager, Imaging Systems This market leader now seeks to recruit a commercially astute Field Service Manager. The successful applicant will be responsible for: • Managing a team of Field Service Engineers, • Building and nurturing all relationships with key customers, • Regularly attending meetings and providing customer care, • Ensuring the delivery of KPI’s set out in SLA’s, including resource utilisation, PPM delivery, team and customer satisfaction, • Financial delivery within set budgets Your Background – Field Service Manager, Imaging Systems To apply you should be able to demonstrate: • Experience working as a Field Service Manager, Regional Service Manager, Field Service Supervisor or Team Leader, • Experience managing Service Engineers from any high technology capital equipment sector, including laboratory, medical, security, print press and printing, defence and radar, and all other high-value capital equipment sectors, • Commercial skills and business flair, • The ability to foster key relationships with customers, • The skills required to support and motivate your team of field service engineers, looking to develop new revenue streams and increase market share throughout a broad product portfolio offering the latest ‘cutting edge’ solutions in systems technology This vacancy is being advertised by TRS Consulting Services Limited. The services advertised by TRS Consulting Services Limited are those of an employment agency and / or employment business.

Job Title: Business Development Executive / Associate Location: Remote – UK-wide coverage Department: Sales & Business Development Reports To: Business Development Director About the Organisation The organisation is a global network of highly specialised laboratories delivering testing, inspection, certification, and consulting services across the food, cosmetic, and medical sectors. Combining scientific excellence with a client-centric approach, the business is committed to safeguarding quality, compliance, and safety across supply chains worldwide. Position Overview The organisation is seeking an ambitious and driven Business Development Executive or Associate to join its expanding commercial team. In this high-impact, client-facing role, you will be responsible for identifying new business opportunities and nurturing relationships with customers across the pharma, food, and cosmetics sectors. This is a remote role with UK-wide coverage and expected travel to client sites. The position offers an opportunity to join a fast-growing Testing, Inspection & Certification business, with a clear pathway for career progression within 18–24 months. Key Responsibilities • Develop and expand the client base across the food and/or cosmetic sectors, • Conduct lead generation through market research, industry networking, and strategic outreach, • Meet with potential and existing clients across the UK to understand their requirements and promote testing, inspection, and certification services, • Collaborate with laboratory and technical teams to tailor service proposals to client needs, • Prepare and deliver sales presentations and commercial proposals, • Maintain accurate CRM records, report on sales activity, and contribute to sales forecasting, • Represent the organisation at UK trade shows, exhibitions, and industry events, • Meet or exceed quarterly and annual sales targets Ideal Candidate Profile • 2–5 years’ experience in B2B sales, business development, account management, or customer-facing roles, • Experience within TIC, life sciences, or laboratory services sectors preferred, • Educational background in Life Sciences, Chemistry, Biotechnology, Business, or a related field, • Strong interest in science, quality assurance, regulatory compliance, or product safety, • Proven ability to build client relationships and close commercial deals, • Self-starter with an entrepreneurial mindset and ambition to progress, • Strong communication, negotiation, and presentation skills, • Willingness to travel across the UK; full UK driving licence required, • Proficient in English; additional languages are an advantage What’s on Offer • Remote working with national travel, • Competitive base salary and commission structure, • Company car available after probation, • Clear progression route, • Opportunity to work with experienced scientific and commercial professionals, • Dynamic and flexible working environment

Location: Nottingham Working Style: Hybrid (Home/Office/Client Site) Salary: £45,000 – £55,000 pa DOE + Monthly Commission Benefits: 26 days Annual Leave (+ bank holidays), Enhanced Maternity & Paternity, Access to HealthShield & Holiday Purchase Scheme & Electric Vehicle Scheme Our Client: Multi-sector & Multi-Vendor Technology Reseller / VAR / MSP Due to the nature of our roles, candidates must be a UK resident residing within a commutable distance to Nottingham. Please note that we cannot offer visa sponsorship for overseas candidates. ROLES & RESPONSIBILITIES: • Business Development:, • Create and execute sales strategies targeting UK FE & Independent schools, building a healthy and consistent pipeline to achieve sales targets., • Proactively identify new business opportunities through prospecting, networking, and other business development activities., • Identify new sales opportunities, and lead consultative selling conversations, leveraging market research and industry/sector insights., • Negotiate pricing, contracts, and renewals, ensuring commercial success and customer satisfaction., • Collaborate with internal teams to deliver and implement tailored solutions, ensuring a smooth onboarding/transition., • Ensure all sales activity and account information is consistently and accurately recorded with thin the internal CRM system., • Account Management & Development:, • Create and execute strategic account plans to retain and grow spend within existing customer base of FE & Independent Schools., • Build, develop, and maintain strong relationships with key-decision makers and stakeholders., • Conduct regular account reviews, identifying renewals and upsell opportunities., • Provide market insights to the relevant internal teams, sharing best practices, customer feedback, and intelligence to support peers and inform product/marketing strategies., • Represent the business at local/national education conferences, exhibitions, and events. SKILLS & EXPERIENCE: • 3+ years Sales Account Manager, Business Development Manager, or similar role within Education Technology / VAR / Channel., • FE & Independent Schools experience., • Commercially astute and target driven with a track record of achieving/exceeding targets., • Confident, enthusiastic, and highly self-motivated with a consultative sales approach., • Excellent presentation and communication skills both written and verbal., • Experience with Salesforce is preferred but is not essential., • Proficiency in the Microsoft suite, and CRM software., • UK resident with unrestricted right to work in the UK; please note that we cannot offer visa sponsorship for overseas candidates. For further information, please contact Alice McGlaughlin using the contact details on our website (wearemarmion.com) Thank you for your interest. We carefully review every CV and will contact shortlisted applicants by phone or email. If you don’t hear from us within 5 working days, unfortunately your application hasn’t been successful on this occasion.

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

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

Embedded Software Engineer/ Consultant As an Embedded Software Engineer, you will get to tackle diverse, real-world challenges. Typically, this will involve going through the whole product life cycle, you will capture requirements, design, develop, document, test, and deliver through to production. My client variety of projects, from proof-of-concept through to working prototypes, provide both intellectual and practical challenges. Requirements: My client is looking for any candidate from a research heavy PhD background or candidates with a strong academic background or 2+ years of experience within an Embedded Software role. Skills that would be helpful for you to be familiar with: • design and implementation of technological solutions, • Linux, and programming in C and at least one other language (such as C#, C++, MATLAB), • Bare metal/RTOS software development on ARM targets, • High level software architecture, • Embedded software debugging methods, • Electronics development and/or hands-on debugging, • Scripting for test or signal processing (for example in MATLAB, Python) My client is looking for driven candidates who are highly motivated to be in a customer facing role while remaining technical. Details: • Candidates must be sole British and happy to go through the relevant security clearances., • Onsite role, based just south of Cambridge., • Salary DOE., • Private medical insurance for you and your family., • Life insurance X6 salary. If this role is of interest then please apply or send your CV to

Full Stack Engineer (Java, React, AI/ML/LLM/SDK) – Cutting-Edge Series B scale up Location: Remote EU - Spain Salary: £70K - £110K About: We are seeking a Full Stack Engineer with a proven track record in building and scaling applications powered by Large Language Models (LLMs). This role requires deep expertise in Java, React, and modern AI/ML development, including LLM frameworks, SDKs, and retrieval-augmented generation (RAG) systems. Key Responsibilities • Design and develop scalable full-stack solutions involving both frontend (React/TypeScript) and backend (Java)., • Build and optimise AI/ML pipelines leveraging LLMs and RAG architectures., • Develop SDKs and APIs to support AI-driven applications in resource-constrained or production-grade environments., • Collaborate across engineering, product, and research teams to drive innovation in AI/ML-based products., • Ensure high performance, testability, and reliability across the stack. Key Qualifications • Strong proficiency in Java and React/TypeScript, • Hands-on experience building and deploying LLM-based systems (e.g., OpenAI, Hugging Face Transformers, LangChain, etc.)., • Deep understanding of AI application architecture, including RAG systems, vector databases, prompt engineering, and fine-tuning., • Experience with ML model serving, SDK development, and working in production-grade environments., • Ability to work across the full stack and thrive in a fast-paced, collaborative environment., • Product-focused engineer What We Offer: • The chance to work with cutting-edge hardware technologies in a high-growth environment., • A collaborative team culture that values innovation and technical excellence., • Competitive salary and benefits package.

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

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

About Us: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go; evaluating and refining AI-generated code for efficiency, scalability, and reliability; and working with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? • Working on AI model training initiatives by curating code examples, building solutions, and correcting code in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go., • Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable., • Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks., • Build agents that can verify the quality of the code and identify error patterns., • Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them, • Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills: • Several years of software engineering experience (+5 years), including 2+ years of continuous full-time experience at a top-tier product company (e.g., Google, Stripe, Amazon, Apple, Meta, Netflix, Microsoft, Datadog, Dropbox, Shopify, PayPal, IBM Research)., • Strong expertise in building full-stack applications and deploying scalable, production-grade software using modern languages and tools., • Deep understanding of software architecture, design, development, debugging, and code quality/review assessment., • Excellent oral and written communication skills for clear, structured evaluation rationales. Engagement Details: • Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week (partial PST overlap required), • Type: Contractor (no medical/paid leave), • Duration: 1 month (starting next week; potential extensions based on performance and fit), • Location: Candidates must be based out of US, Canada or WEU countries (UK, Netherlands, Italy, Germany, …) Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. If you are interested in a software engineer role, please ___. Know amazing talent? Refer them at ___, and earn money from your network.

Team: Backend Location: UK Remote Employment Type: Full-time and Permanent Remuneration (UK – Remote): £81–108k 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 Google, Meta, Bloomberg, Microsoft and Amazon. 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 backend services and infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have background in Machine Learning. This is an applied role, and we are looking to hire a software engineer with experience in cloud computing and distributed systems. In this role, you will: • Design and develop highly-scalable, fault tolerant and event driven systems that directly power our core products., • 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., • Mentor colleagues and lead by example, raising the bar for the whole company., • Help hire future colleagues and shape the team you want to work with. Our tech stack: • We use and leverage AWS as much as possible and manage it with Terraform., • Services are written in C# (.NET 9) and deployed to ECS or Lambda via GitHub Actions., • We use Postgres, SNS/SQS and Redis., • We have good end-to-end test coverage and are confident in our deployments. What we are looking for: • Back-end development: 5+ years of industry experience building reliable and scalable back-end systems with an object-oriented language., • Cloud-native technologies: Experience in architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana)., • Strong ownership mindset: You naturally take responsibility for outcomes, not just tasks, and care deeply about the quality of what you ship., • Product-oriented thinking: You think beyond implementation details, proactively suggesting improvements that balance customer value with business impact., • Leadership: A track record of leading complex projects and influencing technical direction., • 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. We would like to acknowledge that almost no candidate checks every box – and that is perfectly fine. If you are passionate about solving complex challenges and open to learning new technologies, we would love to hear from you. How we work: • We are a small, early-stage team with big ambitions. We move quickly, care deeply about what we build, and take pride in doing things well., • This is a high-ownership environment where people who are proactive, curious, and motivated by impact tend to thrive. Nice to have: • Machine Learning: Experience in generative models, LLMs, multi-modal models and Deep Learning more generally., • Open-source: Contributions to and experience in open-source projects., • Startup experience: Experience in an early-stage startup environment. Why join us? • Work in an environment conducting cutting-edge research in AI., • 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.

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

Snr Software Engineering role • Paying between £80-100k, with a 10% bonus (performance related), • Remote but occasional offsites in LDN/worldwide A SaaS platform that provides businesses and researchers with high-quality, vetted human data for studies, surveys, and AI research are looking for 2 excellent Product Engineers. The stack is Python/JavaScript focused, but the crux of what they want are engineers who can build product from scratch, with a real understanding of how to optimize workflows. If you have a real focus on delivery and take full agency across the entire system, then this role would be perfect for you. A good example given is if you notice an issue in there stack, they want an engineer pragmatic and experienced enough to fix that problem, and engineers who are proactive problem solvers. This role is remote with occasional offsites, a brilliant benefits package and you will be working in a business acknowledged for being one of the best places in the UK for Engineers to learn and grow. Essential Skills: • Python, • JavaScript/Typescript. They use Vue.js but are open to any React.js engineers, • AWS/GCP, • MongoDB, • DynamoDB Nice to haves: • Experience building a product from scratch, • Kubernetes/Terraform experience, • Architecture background

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

Job Title: Senior Quality Engineering Manager Location: Remote (Must be UK based) Type: Permanent Salary: Up to £100,000 + 8% Bonus Looking for an experienced Quality Engineering Senior Manager, to lead and mature our clients Test Engineering capability at scale. This role owns the day-to-day leadership and evolution of quality practices across the organisation, working in close partnership with Engineering, Product, and DevOps leadership. You will lead an established Test Engineering organisation and be responsible for improving consistency, effectiveness, and scalability of testing across teams. The focus is on raising standards, modernising test capability, and embedding quality-first engineering, rather than growing headcount. This is a hands-on, technically credible leadership role, requiring the ability to operate from strategic planning through to deep technical discussions with senior engineers and architects. Key Responsibilities • Lead the evolution and execution of the organisation’s Test Engineering strategy., • Drive quality outcomes across four core pillars:, • Functional & Regression Testing, • Test Automation, • Performance Engineering, • Certification & Compliance Testing, • Embed consistent standards for testability, automation, and quality across engineering teams., • Improve scalability, reliability, and efficiency of test practices as the platform evolves., • Develop strong leadership capability across Automation, Manual Testing, Performance, and Certification disciplines., • Identify and execute targeted, high-impact hires where skills gaps exist., • Foster a culture of technical excellence, ownership, and continuous improvement., • Act as a senior technical authority on testing strategy, automation frameworks, and quality systems., • Champion quality-first thinking across the SDLC, partnering closely with Engineering, Product, and DevOps., • Influence delivery teams to balance speed, risk, and confidence through pragmatic quality practices., • Align test approaches with business priorities and regulatory requirements where applicable. Experience • Proven experience leading large-scale Test or Quality Engineering teams., • Strong hands-on background in test automation, performance testing, and quality system design., • Experience managing managers with clear technical credibility., • Ability to influence senior engineering stakeholders without formal executive authority. Benefits • Fully remote & flexible working, • 8% annual bonus, • 45 days holiday (including bank holidays), • Annual pay reviews, • Private healthcare, including eyecare & dental, • Annual certifications allowance Research indicates that men will apply to a role when they meet only 50–60% of the requirements, while women and other underrepresented groups often look for a 90–100% match. If this role excites you but you don’t tick every single box, please still apply. We’d love to hear from you.

🚀 Founding Engineer, World Class AI Startup Location: San Francisco, relocation from the UK provided, visa sponsorship available Compensation: Up to $180,000 base, plus equity and benefits About the Opportunity We are looking for an exceptional Founding Engineer to join a world class team building transformative artificial intelligence technology. This is a rare opportunity to work on cutting edge AI systems that will redefine how intelligence is built, deployed, and owned. You will be joining a highly selective group of engineers and researchers, including individuals from Oxford and Cambridge, working at the frontier of AI infrastructure and product innovation. The long term upside is significant, with the potential for genuinely life changing financial outcomes through equity participation. Why This Role Is Special Work on transformative AI technology that challenges cloud first paradigms and enables powerful AI systems to run efficiently across diverse environments Collaborate with elite technical talent from leading global universities Gain meaningful equity ownership in a company with exceptional growth potential Relocate to San Francisco with full visa sponsorship and support Have direct influence over product direction, architecture, and engineering culture Role Responsibilities Design, build, and scale core AI driven systems and platforms Work closely with research, product, and engineering to translate complex ideas into production ready software Own technical decisions and help shape long term architecture Move fast, experiment often, and build systems that can scale globally Technical Experience Experience with TypeScript, React, Node.js, Python, or similar backend languages Hands on experience building and shipping production systems Exposure to AI tools, machine learning platforms, or AI powered products Strong understanding of system design, performance, and scalability Who You Are Highly motivated, curious, and driven by solving hard problems Comfortable working in fast moving, high ownership environments Excited by early stage startups and building from first principles Ambitious, with a desire to build something category defining Compensation and Benefits Base salary up to $180,000 Meaningful equity with long term upside Visa sponsorship and relocation support from the UK to San Francisco Work alongside some of the most talented engineers in the industry

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

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

Founded by ___, creator and co-founder of ___ (Series B, $425M valuation), Colossal is building at the intersection of generative app development and commerce infrastructure. Think: Lovable for commerce, but for non-developers. We're backed by Tier 1 investors: ___, ___, ___, and are planning to raise our seed round later this year. Why Colossal? The digital goods market is projected to rise to $400+ billion by 2030, with some segments experiencing double and triple digit growth. The software landscape is rich with tools and services to help businesses build their ideal commerce solutions, but these are fragmented and demand deep knowledge of the commerce value chain to get the most out of. We’re building an ambitious new platform for digital goods sellers to craft their ideal commerce experiences for their unique customer base. We’re still in stealth mode, so get in touch to learn more. 🥷 What we’re looking for • 5+ years experience building service-based software products end to end, ideally at early-stage startups, • Generalist mindset with experience across the full stack, • Strong understanding of CI/CD, cloud infrastructure, observability, and developer tooling, • Comfortable owning products and features end to end, and taking responsibility for performance and optimisation, • Strong communicator, able to distribute knowledge across the team effectively through documentation, talks, demos and presentations, • A current understanding of AI-based tools, methods and paradigms, • Familiar with “app store” paradigms and development frameworks (bonus if in commerce), and know what good looks like from a developer experience standpoint What you’ll do • Build and own core backend services for our commerce infrastructure tools, including billing, workflows, and financial operations, • Build features that integrate generative AI into real world product experiences, • Play a key role in software architecture design, including research, writing POCs for further refinement, • Implement Figma-based designs, motion and UX with precision How we hire • Initial call with the founder (30 mins), • Complete a take home exercise, • Task review and pair programming with a team member (1 hour), • Meet with the product team for 2-way interview (30 mins), • Offer stage (including reference checks) To apply, please send your resume and a brief intro describing your interest to:

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

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

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