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Junior AI Developer Programme – Job Support Included Complete online training designed to help you enter junior AI and developer roles. Study part-time, build coding and AI fundamentals, and receive structured job support to help you secure your first role. The Programme This 10–14 week online programme covers Python programming, AI fundamentals, machine learning basics, and applied development projects. Tutor support is provided throughout, alongside portfolio-building and job readiness support. The Outcome Junior AI Developer and entry-level AI roles. Starting salaries: £30,000 – £40,000 Who This Is For Ideal for beginners and career changers with an interest in coding and AI. UK learners only. Apply now. Limited availability.

Information about the Organization: Eruditus and its sister company Emeritus provide Private Online Courses (SPOCs) to students all over the world. We have partnered with top schools across the globe, such as Columbia Business School, The Tuck School of Business at Dartmouth, MIT, Wharton, London Business School, Cambridge, and UC Berkeley Haas School of Business, to provide condensed, intense, practical, and convenient programs, which can either be conducted completely or partially online. EMERITUS enables working professionals who cannot enroll into full-time courses to access a top-tier, affordable education that will give them the skills needed to be the business leaders of tomorrow. The Emeritus and Eruditus global team include 1,000+ employees located in the US, Dubai, Mexico, India, China, and Singapore. Information about the Learning Facilitator role: Emeritus is seeking a Program Facilitator in RAG and Context Engineering: Designing and Building Production-Grade AI Systems for MIT xPRO. The Program Facilitator should function as both: a technical subject matter expert (SME), and a learning support partner capable of helping learners apply complex concepts in practice, through the 8-week online program. The facilitator must have industry experience and demonstrated knowledge of the course subject area; They will guide learners through complex topics, requiring significantly more than general familiarity with AI tools. The Facilitator should have hands-on experience building or working with retrieval-aware AI systems and enough practical depth to support live labs, troubleshoot learner challenges, and guide architectural reasoning throughout the program This is a great role for someone who wants work flexibility and the chance to diversify their resume with consultancy and teaching experience. This is an independent contractor position in a remote setting. Key Responsibilities of the Program Facilitator include but are not limited to: • Facilitate weekly office hours and moderate required discussion boards., • Facilitate lab sessions weekly., • Moderate and guide learner engagement during faculty live sessions., • Support learners in synthesizing live session content delivered by the faculty (e.g., AI tools in cybercrime, GRC frameworks, deepfake detection)., • Assist with capstone assignment challenges., • Collaborate with academic delivery managers to improve engagement and comprehension., • Monitor learner progress and provide support or escalation as needed. Qualifications for the role: • 10+ years of extensive work experience as an Applied AI Consultant, Solutions Architect, Developer Educator, Technical Product Manager, Search/Retrieval Engineer or AI/ML Bootcamp Instructor., • A bachelor’s degree is required; plus, a master’s degree is preferred in one of the following fields: engineering, artificial intelligence, machine learning or any related fields., • Hands-on experience building or experimenting with Retrieval-Augmented Generation (RAG) systems., • Experience working with LLM APIs (e.g., OpenAI, Anthropic, OpenRouter, Gemini)., • Experience implementing or testing AI-powered applications., • Familiarity with vector databases, embeddings, semantic search, and retrieval workflows., • Experience evaluating LLM outputs and diagnosing system failures., • Experience supporting technical learners in applied or project-based environments., • Solid experience with Large Language Models (LLMs) how they work conceptually, limitations, prompt engineering strategies, context windows and tokenization and trade-offs across different model providers., • Solid experience with Retrieval-Augmented Generation (RAG), RAG architecture, retrieval pipelines, chunking strategies, embeddings, vector search, hybrid retrieval, reranking and retrieval quality trade-offs., • Solid experience with Evaluation and System Diagnosis, evaluation frameworks, benchmarking approaches, qualitative and quantitative evaluation, retrieval metrics, output quality assessment, failure analysis, and iterative system improvement., • Solid experience with Agentic and Tool-Based Systems, AI agents, orchestration concepts, tool calling, memory systems, retrieval-aware agents, and multi-step workflows., • Strong knowledge with APIs and Technical Workflow Support, API-based workflows, Python notebooks/scripts, environment setup, debugging common technical issues, JSON structures, and reading technical documentation., • Experience supporting executive or mid-career professionals in continuing education is highly preferred., • Excellent communication, facilitation and interpersonal skills with an ability to listen effectively, respond appropriately, and maintain a mutual comfort level while working with a diverse population., • Ability to translate technical content into actionable insights., • Empathetic and learner-centered approach., • Comfortable in an online environment, navigating LMS platforms (Canvas), Zoom, Slack, or similar environments., • Strong organizational and time-management skills to manage weekly cycles of engagement and support. Program Description and Context: The RAG and Context Engineering: Designing and Building Production-Grade AI Systems program from MIT xPRO is an eight-week learning journey that equips participants to design, evaluate, and deploy retrieval-aware large language model (LLM) systems that perform reliably in real-world environments. In eight weeks, this program will provide participants with expertise in evaluation discipline, system auditing, retrieval-augmented generation (RAG) design, and the core principles that determine whether LLM systems succeed or fail in production. • Duration: 8 weeks (estimated learner commitment: 4–5 hours/week)., • Structure: Blend of asynchronous Canvas activities and live Zoom sessions., • Target Audience: Mid- to senior-level professionals and technical leaders seeking to build end‑to‑end RAG and LLM systems. Emeritus provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal or state laws.

Lead Machine Learning Engineer 12 Month FTC Remote UK, up to £90,000, 12 month fixed term contract This is a rare opportunity to take ownership of machine learning delivery in a business that is actively investing in AI and moving from proof of concept into production. You will play a pivotal role in shaping how advanced ML and generative AI solutions are engineered, deployed and scaled, with genuine scope for the role to become permanent. The Company They are a large, well established UK organisation operating in a highly regulated, information rich environment. With thousands of colleagues nationwide, they combine deep domain expertise with a strong focus on people, quality and long term outcomes. Data and AI are now a strategic priority, with senior backing to build robust, production grade ML capability. The Role • Lead the engineering and productionisation of machine learning and generative AI solutions., • Build and operate end to end ML pipelines, including data preparation, model deployment, monitoring and governance., • Work closely with data scientists and data engineers to turn experiments and POCs into scalable, reliable services., • Develop solutions for large scale unstructured data, including complex document processing and LLM ready data pipelines., • Own MLOps practices, covering CI/CD, model serving, observability and lifecycle management., • Provide hands on technical leadership, contributing to architecture decisions and best practice., • Act as a delivery focused partner to stakeholders, confidently explaining trade offs and recommendations. Your Skills & Experience • Strong commercial experience as an ML Engineer or MLOps focused engineer, ideally with a software engineering background., • Proven ability to deploy, operate and maintain machine learning systems in production., • Hands on experience with cloud based data and ML platforms, particularly on Azure., • Solid knowledge of Databricks and modern data engineering concepts such as lakehouse architectures., • Experience preparing data and pipelines for LLM based use cases and NLP workloads., • Strong Python skills, with experience building APIs or services, for example using FastAPI., • Confidence working across the full delivery lifecycle, from design through to monitoring and optimisation., • Clear communication skills and comfort working directly with non technical stakeholders. What They Offer • Excellent work life balance and a supportive, collaborative culture., • The chance to shape ML engineering standards and capability from the ground up., • Strong potential for the role to become permanent, with future people leadership opportunities. How to Apply If you are an experienced ML Engineer looking for a hands on role with real influence and long term potential, apply now to find out more.

AI Technical Lead Location: London / South West UK (Hybrid) Salary: £140,000 - £170,000 + Benefits Type: Permanent About 167 Solutions 167 Solutions is a specialist technology recruitment consultancy connecting organisations with exceptional talent across AI, Technology, CRM and Senior Leadership appointments. We partner with innovative start-ups, scale-ups and enterprise organisations that are transforming the way businesses operate through artificial intelligence, automation and modern software engineering. Our focus is simple: connecting the right people with the right opportunities to drive sustainable business growth. The Opportunity We are supporting a pioneering organisation that is building next-generation AI capabilities and looking for an experienced AI Technical Lead to drive the design, development and deployment of enterprise-scale AI solutions. This is a hands-on leadership role where you will shape technical strategy, influence architecture decisions and lead the delivery of cutting-edge AI products from concept through to production. You will work closely with executive stakeholders, product teams, engineers and data specialists to build scalable, secure and responsible AI systems that create measurable business impact. The successful candidate will combine strong software engineering foundations with deep expertise in machine learning, Generative AI, cloud technologies and modern AI infrastructure. What You'll Be Doing • Leading the technical direction of AI and Machine Learning initiatives across multiple business functions, • Designing, developing and deploying production-grade AI solutions, • Building and optimising Large Language Model (LLM) applications, RAG architectures and Agentic AI systems, • Developing speech-to-text, voice AI and accessibility-focused AI solutions, • Creating intelligent conversational experiences using modern AI frameworks, • Architecting scalable cloud-native AI platforms within AWS environments, • Building and maintaining robust MLOps pipelines and model governance frameworks, • Working closely with product and business stakeholders to translate requirements into technical solutions, • Leading technical discovery workshops and AI strategy discussions, • Ensuring AI solutions are secure, compliant and aligned with responsible AI principles, • Mentoring AI Engineers, Machine Learning Engineers and Data Scientists, • Driving engineering best practice including CI/CD, testing, monitoring and observabilityTechnical Experience RequiredArtificial Intelligence & Machine Learning, • Strong commercial experience designing, training, evaluating and deploying Machine Learning models, • Experience with Generative AI and Large Language Models, • Building Retrieval Augmented Generation (RAG) platforms, • Agentic AI and autonomous workflow development, • NLP, speech recognition and conversational AI solutions, • Fine-tuning and optimisation of AI models, • Model evaluation, monitoring and governanceTechnologies, • Python (essential), • PyTorch, • TensorFlow, • Scikit-Learn, • LangChain, • LangGraph, • Hugging Face, • Vector Databases (Pinecone, Weaviate, ChromaDB or similar), • FastAPI, • REST APIsCloud & Infrastructure, • AWS (essential), • Bedrock, • SageMaker, • Lambda, • ECS / EKS, • API Gateway, • DynamoDB, • S3, • CloudFormation or TerraformData & Engineering, • SQL and NoSQL databases, • Data Warehousing and Data Lake architectures, • ETL and Data Pipeline development, • Git, • CI/CD, • Docker, • Kubernetes, • Monitoring and Observability platformsLeadership Experience You will ideally have experience: • Leading AI, Machine Learning or Software Engineering teams, • Making architectural and technical decisions within enterprise environments, • Engaging with senior stakeholders and executive leadership teams, • Defining engineering standards and governance processes, • Mentoring and developing high-performing technical teams, • Delivering complex AI programmes from concept to productionNice to Have, • Experience developing Voice AI platforms, • Accessibility-focused AI solutions, • Experience with multimodal AI models, • Knowledge of Responsible AI frameworks, • Exposure to healthcare, fintech, retail or enterprise SaaS environments, • Experience building customer-facing AI products at scaleEducation, • Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Engineering or related discipline, • Equivalent commercial experience will also be consideredWhy Apply? This is an opportunity to join a business making significant investment in AI innovation and enterprise transformation. You will have the autonomy to influence strategy, shape technical direction and build AI solutions that deliver real-world impact while working alongside some of the brightest minds in the industry. If you're passionate about Generative AI, cloud-native architecture, voice technologies and leading high-performing engineering teams, we'd love to hear from you. To apply or find out more, contact: 📧 harshil@167solutions.com 🌐 167Solutions.com 167 Solutions – Connecting exceptional AI talent with exceptional opportunities.

Princeton Biopartners is a best-in-class strategy consulting firm serving the life sciences sector. We partner with Fortune 500 biopharmaceutical companies on strategic projects, combining advisory and software solutions to improve the evidence base, accessibility, and impact of biomedical innovations. Princeton Biopartners was also recognized with the “Evidence Generation Software of the Year 2026” award by Life Sciences Review for our innovation in AI-enabled evidence generation and planning solutions. We are looking for a part-time AI Software Engineering Intern (Full Stack) to support the development of digital solutions that complement our consulting work. This is a unique opportunity to apply your technical skills in healthcare and gain exposure to the business side of biopharma, while working closely with senior leadership. Learn more about our culture here: https://www.youtube.com/watch?v=zhTrmcIc-WE&t=2s Must Haves • UK-based (mandatory, remote role), • STEM background: pursuing or recently completed a degree in Computer Science, Engineering, Data Science, or related field (top competitive programs preferred, such as at Oxbridge or Imperial), • Independent & proactive: able to take initiative, act autonomously, and deliver with limited supervision, • Technical curiosity: passion for building software that solves real-world problems, • Structured thinker: strong problem-solving and communication skills, • Product-minded: interested in user experience and pragmatic solutions, • Hands-on coder: capable of delivering clean, working code efficiently, leveraging AI where appropriate to maximize speed and output Key Responsibilities • Contribute to the design and development of web and data-driven applications, • Write clean, testable, and efficient code using modern web technologies, • Support data visualization and reporting tools for client projects, • Help deploy and integrate software solutions into consulting deliverables, • Maintain clear, well-structured documentation Technical Skills • Familiarity with modern web technologies (React, CSS, Node, Angular, etc.), • Proficiency in at least one general-purpose programming language (Python preferred; Java, C++, etc. also considered), • Understanding of core computer science principles (data structures, algorithms, complexity), • Exposure to DevOps practices (e.g., GitHub workflows, CI/CD), • Desirable: experience with Azure or healthcare-related data projects, • Bonus: interest in machine learning, data engineering, or visualization What You’ll Gain • Mentorship: opportunity to discuss and review your work with senior software and data engineers who have prior experience at Goldman Sachs, Microsoft, Uber, and McKinsey, • Real-world impact: apply technical skills to projects shaping healthcare strategy and evidence generation, • Flexibility: part-time hours that fit around academic or personal commitments. Minimum expectation is 5 hours per week, with a minimum duration of two months (longer-term commitment strongly desired), • Growth: mentorship, exposure to consulting, and potential for transition into a long-term role, • Compensation: competitive hourly rate, commensurate with experience Princeton Biopartners is committed to building a diverse and inclusive team. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy or related conditions), sexual orientation, gender identity, age, veteran status, disability, or other legally protected characteristics.

Background: Agilio Software Group is a leading UK healthcare operations software provider, delivering integrated, mission critical solutions that support primary care, dental, pharmacy, hospital, and veterinary organisations. We have ambitious and exciting growth plans and are looking for talented individuals to be part of our journey. iLearn is our learning and compliance platform, supporting healthcare organisations to meet regulatory requirements, maintain workforce competence, and deliver high quality patient care. The role: As a Lead Software Engineer, you will drive technical direction and product delivery for the iLearn platform - coming in with energy, opinions, and the ability to move fast. You'll lead a cross-functional engineering team, shape our AI strategy, and work closely with Product to define what we build next. You'll combine hands-on technical expertise with people leadership, designing and building scalable, secure, cloud-based solutions that directly support our business objectives. AI is a central theme for us right now. You'll play a leading role in identifying, shaping, and delivering AI-powered features within iLearn, and using AI tooling to accelerate how the team builds and ships software day to day - all working closely with Product to turn emerging capabilities into real user value. Key Responsibilities: • Lead a cross-functional engineering team delivering features and improvements for iLearn - driving pace, quality, and technical direction from design through to deployment and support., • Provide line management and pastoral care for a small team of software engineers, supporting performance, wellbeing, and professional development., • Take technical ownership of the design, development, and maintenance of full stack applications and services underpinning iLearn., • Partner closely with Product to shape the roadmap - contributing technical insight early, challenging assumptions, and ensuring AI and engineering capabilities inform what gets built., • Lead the evaluation, prototyping, and responsible integration of AI and machine learning capabilities into iLearn, including LLM-based features, intelligent automation, and data-driven tooling., • Contribute to planning, estimation, scheduling, and resourcing, helping to deliver work predictably and efficiently., • Communicate technical designs, risks, and progress clearly to senior stakeholders and non technical audiences., • Apply a deep understanding of modern software design patterns and engineering best practices, ensuring solutions are scalable, maintainable, and fit for purpose., • Champion and implement automated testing across functional, acceptance, performance, and security domains to ensure quality is built in from the outset., • Work closely with platform, product, and operations teams to ensure systems are observable, resilient, operationally sound, and secure., • Design and develop cloud deployable services, continuously improving application architecture and infrastructure where appropriate., • Act as a technical authority, leading design discussions, reviewing and approving code, and diagnosing and resolving complex issues., • Build, maintain, and improve CI/CD pipelines to support reliable, automated deployment of products and services., • Promote a strong engineering culture, encouraging best practice, collaboration, and continuous improvement across the team., • Share knowledge and emerging technical insights - particularly around AI developments - with the wider engineering community and mentor junior engineers to support their growth., • Support the growth of the team by participating in recruitment and onboarding of new engineers., • Maintain clear and appropriate technical documentation to support long term maintainability and knowledge sharing. Essential • Minimum of 5 years’ experience in software engineering, • Strong experience as a Senior or Lead Full Stack Software Engineer, • Proven experience leading engineers and delivering software end to end, • A track record of driving delivery with urgency — not just maintaining, but pushing teams and products forward, • Demonstrable experience working closely with Product — influencing roadmap, shaping requirements, and bridging technical and commercial priorities, • Hands-on experience with AI/ML integration — whether LLM APIs, prompt engineering, RAG architectures, or embedding AI tooling into production software, • Deep understanding of modern software design patterns and best practices, • Hands on experience with cloud based architectures and services, • Strong knowledge of CI/CD pipelines and automated deployments, • Experience building scalable, resilient, secure, and observable systems, • Commitment to code quality, maintainability, and testing, • Confident code reviewer and technical decision maker, • Ability to mentor engineers and support their development, • Strong communication skills with technical and non technical stakeholders Agilio operates in regulated, mission critical healthcare environments. You’ll need: • The ability to translate complex business domains into technical solutions, • Awareness of security, resilience, and operational risk, • A mindset focused on reliability and quality, not just feature delivery, • An understanding of how to deploy AI responsibly in regulated, patient-facing contexts Additional Information Job type: The role is remote with occasional travel to one of our offices on an ad-hoc basis. Salary: Competitive + generous benefits Income Protection Life Assurance Enhanced pension Health Cash plan 28 days annual leave + bank holidays Sick pay scheme A range of flexible benefits available through our Agilio Flex portal If you feel you have what it takes to join our team, we look forward to receiving your application!

About Quantiphi: Quantiphi is an award-winning, AI-First global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building innovative AI technologies—we solve the problems that matter most to our clients. Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries. Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation. #SolvingWhatMatters We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including: • 21 Google Cloud Partner of the Year awards in the past 10 years, • 3 AWS AI/ML Partner of the Year awards, • 3 NVIDIA Partner of the Year awards, • 3 Snowflake Partner of the Year awards, • Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms Quantiphi delivers First-in-class AI solutions across Life Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI accelerators. We are also proud to be certified as a Great Place to Work—reflecting our commitment to our people and our culture. For more details, visit: or Role: Senior Cloud Migration Engineer Experience Level: 7+ years Employment type: Full Time Location: Remote (UK) What you will do: As a Senior Cloud Migration Engineer at Quantiphi, you will be instrumental in our Platform Engineering team, leading the delivery of advanced solutions in Application Development, Platform Engineering, Data Engineering, Analytics, and Machine Learning for our clients. This role requires experience in workload migration from on-premise datacenter environments to AWS, enabling clients to leverage the full potential of cloud capabilities. Basic Qualifications (BQs): Cloud Migration Expertise: • Understanding of different Migration approaches (Rs) with recent experience., • Experience with on-prem VMware/other platform based Virtual Machine Lift and Shift (REHOST) migration to AWS EC2 instance based architectures., • Previous work experience with tools like Cloud Endure, Double-Take, AWS Migration Hub, AWS Application Migration Service (MGN), AWS Server Migration Service (SMS), and AWS Database Migration Service (DMS). Good to have understanding of Database servers., • Expertise in AWS services, including EC2, S3, auto-scaling, Landing Zone, and Control Tower., • Proficiency in using AWS Migration Evaluator and Portfolio Assessment tools to analyze migration strategies., • Well-versed in service-oriented architecture and cloud-based web services architecture, design patterns, and frameworks., • Good understanding of Windows or Linux OS. Experience with troubleshooting Linux/Windows OS issues while migrating. Good to have handled Database server migrations also., • Strong knowledge of cloud-related services such as compute, storage, network, and messaging (e.g., SNS, SQS). Networking Skills: • Proficiency in setting up and managing hybrid cloud networks, including VPN and AWS Direct Connect., • Experience with configuring Application Load Balancers (ALB) for effective traffic management. Automation and Deployment: • Proficient in scripting languages such as Python and Bash for automating migration tasks and processes., • Familiarity with Infrastructure as Code (IaC) tools, including AWS CloudFormation and Terraform., • Strong understanding of IaC practices using tools like Terraform, CDK, and CloudFormation Templates., • Experience in automating development and testing processes through CI/CD pipelines using tools like Git, Jenkins, SonarQube, Artifactory, and Docker containers. Security and Compliance: • Strong understanding of AWS security best practices, including setting up IAM roles and policies for secure access., • Knowledge of compliance requirements relevant to data handling and migration processes. Configuration Management / Scripting and Programming: • Hands-on experience with scripting and programming languages such as Bash, Python, Core Java, and Scala., • Previous work experience on Configuration management and using tools like Ansible, Chef, Puppet, AWS SSM, etc. Other Qualifications (OQs): • Familiarity on-prem VMware ecosystem such as vSphere, vCenter, ESX, NSX., • Familiarity with vMotion, VM Export/Import and integrating with AWS., • Skills in monitoring cloud infrastructure and application performance using tools like Amazon CloudWatch., • Experience in optimizing database queries and application performance following migration., • Relevant certifications (e.g., AWS Certified Solutions Architect, AWS Certified DevOps Engineer)., • Experience with relational SQL, NoSQL databases (e.g., PostgreSQL, MongoDB, Redis)., • Ability to build and manage container hosting platforms using Docker, Kubernetes, AWS EKS., • Familiarity with systems management and automation tools like Puppet, Chef, and Ansible., • Experience working in an Agile and DevOps environment. What is in it for you: • Join one of the world’s fastest-growing AI-first digital engineering companies and make a real impact at scale., • Lead and collaborate with a high-energy team of talented, driven individuals solving complex, meaningful challenges., • Work with Fortune 500 companies and disruptive innovators in a research-driven environment with 60+ patents., • Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling.

Company Description BAPON Technologies is a leading IT consulting company dedicated to empowering businesses through innovative solutions in intelligent automation, digital integration, and cloud transformation. As a Cyber Essential Plus and ISO 9001 & ISO 27001 certified company, BAPON upholds the highest quality, security, and compliance standards. With a focus on startups and emerging companies, BAPON delivers tailored services including robotic process automation (RPA), artificial intelligence (AI), machine learning (ML), and strategic IT planning to optimize operations and foster growth. The company is also developing SkillfulSense, an AI-powered platform for skill assessment and development. By integrating cutting-edge technologies, BAPON aims to help businesses thrive in the digital era. Role Description This is a full-time, remote role for a Pega Principal System Architect. In this position, you will design, develop, and oversee the implementation of Pega-based solutions aligned with client requirements. You will also lead system architecture design, ensure seamless integration of components, and work closely with cross-functional teams to optimize system performance. The role involves acting as a thought leader in Pega’s best practices while mentoring team members and supporting project goals. Qualifications • Expertise in System Architecture and Systems Design, with a track record of creating scalable and effective solutions, • Strong proficiency in Software Development, including experience with Pega systems and tools, • Proven ability in Systems Engineering, ensuring reliability, performance, and maintainability of IT environments, • Knowledge of Integration and workflows across various platforms to improve system connectivity and functionality, • Strong understanding of Pega methodologies, frameworks, and tools, • Relevant Pega certifications, such as Pega Certified Lead System Architect (CLSA), are highly preferred, • Exceptional problem-solving, communication, and leadership skills, • Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field

Lead Machine Learning Engineer UK - remote, 35 hour work week Up to £95k + bonus 12m FTC (strong view to go permanent) A professional services firm is looking for a Lead Machine Learning Engineer to join its growing data and AI team. This is a key role focused on building and leading ML engineering capability, delivering scalable AI solutions, and shaping the organisation’s data and AI strategy. The role • Lead the development of machine learning engineering capability across the business, • Design, build, and productionise ML models and data products, • Develop and implement MLOps frameworks (CI/CD, model deployment, monitoring, governance), • Build scalable data and ML pipelines on Azure-based platforms, • Collaborate with data scientists, analysts, and stakeholders to deliver end-to-end AI solutions, • Contribute to data architecture, standards, and best practice across the organisation, • Provide technical leadership, mentoring, and guidance to engineers and wider teams What they’re looking for • Strong experience in ML engineering, MLOps, and data/AI architecture, • Proven track record delivering end-to-end ML solutions in cloud environments (Azure preferred), • Expertise in Python, Spark/PySpark, and modern data platforms (e.g. Databricks), • Hands-on experience with NLP and LLMs, including deployment and optimisation, • Experience building scalable pipelines, model governance processes, and production systems, • Ability to translate business requirements into robust technical solutions, • Strong stakeholder management and leadership experience Why apply • Opportunity to build and shape ML engineering within a growing data function, • High-impact role with ownership of architecture, tooling, and best practice, • Exposure to modern AI and LLM use cases, • Clear pathway to a permanent role Please note: sponsorship is not available for this role.

👋 About Renude Renude builds AI-powered software for the beauty industry, helping brands deliver personalised, expertise-focused customer support through intelligent digital agents. Our technology powers e-commerce experiences including: skin analysis, product recommendation and LLM-based chat. We’ve been awarded by CEW, Beauty Innovation Awards, Tech Nation and more. We have raised over $4M from leading tech investors in addition to being awarded Innovate UK Grants. Our team combines tech, formulation, dermatology, e-commerce and sales expertise. 🔧 What You'll Do We’re hiring a mid-senior (4+ years experience) AI Engineer to help design, build, and scale our production AI systems with ownership from design to deployment. You’ll work end-to-end across Agentic RAG conversational agents, Agent orchestration, fine-tuning models, retrieval pipelines, evaluation frameworks and generating product recommendation for real customer interactions to deliver reliable AI-powered experiences in production. • Design, build, and deploy Agentic AI workflows and RAG-powered applications for real-world use cases, • Develop scalable backend services and APIs powering AI agents and conversational systems, • Build and optimise retrieval pipelines including embeddings, chunking, reranking, memory and vector search, • Collaborate closely with product, design, and engineering teams to shape AI-first experiences, • Integrate LLM systems into user-facing web applications and product features, • Improve response quality, reliability, latency, observability and cost efficiency of production AI systems, • Evaluate new AI frameworks, tools, and orchestration approaches across the rapidly evolving LLM ecosystem, • Influence architecture decisions for scalable, secure, and production-ready AI infrastructure ✅ What We're Looking For Must-Haves: • Bachelor’s degree in Computer Science, Artificial Intelligence, Engineering, or equivalent practical experience, • 4+ years experience building and deploying production AI applications, • 2+ years experience developing LLM-powered products, conversational AI, RAG systems, or agentic workflows, • Strong Python skills and experience building backend systems and APIs, • Hands on experience building agentic workflows, tool-calling pipelines, and stateful orchestration using frameworks such as LangGraph, LangChain, LlamaIndex, AutoGen, CrewAI or similar agent orchestration frameworks, • Strong experience designing and optimising retrieval systems, including vector stores (Pinecone, Weaviate, Chroma), graph-based RAG architectures, hybrid retrieval, reranking, and semantic search pipelines, • Experience with production optimisation for RAG systems, including latency optimisation, token cost control, context management, monitoring, guardrails and prompt versioning, • Exposure to AIOps/MLOps practices and hands-on experience with AWS Bedrock, SageMaker, Vertex AI, or similar cloud AI platforms, • Comfortable working autonomously and taking ownership in a fast-moving, remote, startup environment Nice-to-Haves: • Masters or advanced degree in artificial intelligence, machine learning, natural language processing or related field, • Experience with LLM fine-tuning techniques such as LoRA, QLoRA, supervised fine-tuning (SFT), instruction tuning, and parameter-efficient model adaptation workflows, • Experience with evaluation and monitoring frameworks for LLM systems, including RAGAS, OpenEvals, DeepEval, LangSmith, OpenTelemetry or LLM-as-a-Judge evaluation frameworks, • Familiarity with graph databases such as Neo4j or Amazon Neptune, • Experience with recommendation systems, personalisation pipelines or ranking systems, • Experience building modern web applications using Django, FastAPI, React, or similar frameworks, • Comfortable using Docker and containerised development workflows, • Exposure to CI/CD pipelines, infrastructure-as-code, and cloud-native deployment practices 🌱 What We Offer • Competitive compensation (based on experience), • Remote-friendly culture with flexible working hours, • Opportunity to work with cutting edge technologies, • High ownership and real technical influence, • A supportive team that values product excellence and personal growth

I am seeking an Integration Engineer to focus on deploying and supporting AI-enabled solutions in complex hardware and software environments. This role is centered on implementing, integrating, and maintaining AI systems while collaborating with hardware, software, and clinical teams. It is not a research role, but requires strong knowledge of AI, machine learning, and robotics to ensure smooth, reliable deployment. You’ll also have the chance to work across projects, tackling diverse challenges in a fast-paced, highly regulated environment. Key Responsibilities: • Implement, integrate, and support AI-driven solutions across hardware and software platforms., • Build and maintain APIs, pipelines, and integration layers connecting AI models to operational systems., • Collaborate with multidisciplinary teams to deliver fully functional, safe, and compliant solutions., • Contribute to special projects, including prototypes, proof-of-concepts, and system enhancements., • Ensure compliance with regulatory standards (ISO 13485, IEC 62304, FDA, MDR) in implementations., • Troubleshoot, optimize, and document integration workflows for reproducibility and scalability. Required Skills & Experience: • Strong programming skills in Python and C++., • Hands-on experience with AI/ML frameworks like PyTorch or TensorFlow., • Experience in system integration, APIs, and software deployment., • Familiarity with hardware integration, robotics, or embedded systems., • Experience working in highly regulated environments (medical devices, healthcare, aerospace)., • Strong problem-solving skills with the ability to pivot across projects. Nice-to-Have: • Full-stack or back-end development experience in production environments., • Knowledge of software quality processes, testing frameworks, and CI/CD pipelines., • Understanding of surgical workflows or clinical software systems. Benefits • Comprehensive salary, • Long term incentives, • 25+ days holiday, • Clear development pathway Following your application Joe Templeman, a specialist Recruiter will discuss the opportunity with you in detail. He will be more than happy to answer any questions relating to the industry and the potential for your career growth. The conversation can also progress further to discussing other opportunities, which are also available right now or will be imminently becoming available. This position has been highly popular, and it is likely that it will close prematurely. We recommend applying as soon as possible to avoid disappointment. Please click ‘apply’ or contact Joe Templeman for any further information Joe Templeman Recruitment Manager – Barrington James Email: jtempleman (at) barringtonjames.com

Senior AI Infrastructure Engineer (OpenStack & Kubernetes) Location: Remote (UK or EU Preferred) Sector: High-Performance GPU Cloud Computing The Opportunity I am representing a fast-growing, international scale-up that is building next-generation GPU cloud infrastructure. This company is the powerhouse behind a high-performance platform designed specifically for the most demanding AI, Machine Learning, and HPC workloads. As they scale their global footprint to meet massive demand, they are seeking a Senior Infrastructure Engineer who enjoys deep technical autonomy. This is a role for a specialist who wants to move fast, solve complex problems, and have direct ownership over the stability and scalability of business-critical systems. What You’ll Be Doing • Owning Infrastructure: Designing, deploying, and operating OpenStack and Kubernetes clusters optimized for multi-tenant GPU workloads., • Driving Automation: Building and maintaining infrastructure-as-code and GitOps practices to ensure seamless scalability., • Optimizing Performance: Enabling reliable workload scheduling through Kubernetes-native tooling, container runtime optimization, and NVIDIA integrations., • Ensuring Resilience: Maintaining high availability and observability through proactive monitoring, logging, and incident response., • Strengthening Security: Implementing strong controls, including RBAC and network policies, to ensure tenant isolation., • Cross-Team Collaboration: Working closely with DevOps, AI, and Product teams to align infrastructure capabilities with customer needs. The Ideal Profile • OpenStack Expert: Significant hands-on experience operating OpenStack in a production environment., • K8s Specialist: Strong experience running production-grade Kubernetes, ideally in bare-metal or private cloud setups., • Systems Generalist: A solid grounding in Linux, networking, and storage with a practical approach to troubleshooting., • Modern Workflows: Experience with infrastructure automation, CI/CD, and Git-based workflows., • Scale-up Mindset: The ability to thrive in a fast-moving environment with a strong sense of accountability. Nice to Have • Exposure to GPU-based infrastructure, large-scale compute platforms, or HPC., • Familiarity with advanced networking technologies., • Contributions to open-source or cloud-native communities. What’s on Offer? • Impact: The opportunity to make a visible, meaningful impact on a platform used by teams running compute-heavy applications., • Flexibility: Flexible working arrangements, including remote or hybrid options., • Growth: Clear career progression and the chance to help shape the company's culture and future., • Culture: A collaborative, transparent, and international culture built on trust., • Benefits: Competitive salary, annual discretionary bonus, 25 days holiday (plus public holidays), and wellbeing benefits.

Early-stage AI startup operating within the accessibility and communication technology space. The business is building advanced AI-driven products that combine machine learning, motion capture, computer vision, and 3D technologies to solve real-world communication challenges. The team is small, highly collaborative, and research-driven, so they are looking for someone who enjoys working across multiple disciplines rather than staying within a narrow specialist remit. This is a broad technical role with strong exposure to cutting-edge AI applications, product development, and customer interaction. The successful candidate would work closely with founders and senior leadership, helping shape both the technical direction of the product and the wider growth of the business. What the Role Will Involve • Developing and improving AI/ML models used within the core platform, • Working on motion capture pipelines and 3D character/animation systems, • Supporting computer vision and perception-based projects, • Optimising models and inference pipelines for performance and scalability, • Contributing to product architecture and technical problem solving across the business, • Collaborating with customers to understand requirements and support deployments, • Working with 3D engines such as Unreal Engine (Unity exposure also relevant), • Supporting experimentation and R&D around emerging AI technologies, • Potential involvement in:, • Grant applications, • Technical documentation, • Investor/ fundraising support, • Product demonstrations Ideal Background: The company is particularly interested in people who are: • Strong technically with the ability to learn quickly, • Comfortable in startup environments with changing priorities, • Self-managing and proactive, • Interested in AI-for-good / mission-driven technology, • Happy working across engineering, product, and customer-facing activities, • Excited by building products from an early stage Relevant technical exposure could include: • Computer Vision, • Machine Learning / Deep Learning, • Motion Capture, • PyTorch / TensorFlow, • CUDA / TensorRT optimisation, • OpenCV / MediaPipe, • ONNX, • 3D engines (Unreal / Unity), • Cloud platforms (AWS / GCP), • Python and/or C++ Working Setup • Fully remote team, • Occasional travel may be required for workshops, motion capture sessions, or customer-facing activity

Moodsonic uses sound to improve how indoor spaces feel. Our platform delivers adaptive soundscapes for workplaces, hospitals, universities, and other shared environments shaping daily life, integrating with hardware, building systems, and an array of applications to respond dynamically to activity levels, time of day, environmental sensors, and user input. The work sits at the intersection of audio, real-time systems, and human experience. The role We are hiring a Senior Software Engineer to own the backend that the entire product stack sits on: services, data layer, identity and authentication infrastructure, partner-facing integration APIs, device communication, and the security posture. You will own, evolve, and build the systems that power our internal tooling, customer-facing applications, partner integrations, and hardware deployments, strengthening what is already in production and shipping what comes next. You will be the technical lead on production engineering, security, and code quality, building on the foundations the team has put in place. As Moodsonic scales, you will keep the platform safe, reliable, and defensible. You are joining a team where colleagues hold deep domain knowledge. You will need to build trust, collaborate well, and lead through influence rather than authority. This is not a management role. The platform is live and growing quickly, with real customers and real consequences. What you'll work on In your first six to twelve months: • Own and evolve the backend platform: services, data layer, infrastructure, APIs. Strengthen what is in production today, design what is missing, and build what comes next, • Own the backend side of how our deployed hardware connects to the platform: ingestion, device authentication, fleet management, and remote provisioning. Visibility and input into on-device code decisions, because device security is platform security, • Own the identity, authentication, and account layer of the platform, • Own and operate our data protection posture across the platform: encryption in transit and at rest, key management, data lifecycle, and recovery, • Own the partner-facing integration APIs end to end, from design through operation. These are the surfaces our customers and hardware partners build against, and their reliability is our reputation, • Own the engineering practices that support our certifications and audit-readiness, • Establish and maintain the engineering standards (testing, review, deployment, monitoring, secure coding) that the team operates by, • Partner with the engineers owning the audio engine and frontend surface on the backend contracts their work depends on What we are looking for Required: • 5+ years shipping and operating production backend systems, including time on-call and in incident response. You know what it feels like when something breaks at 2am and you own the fix, • Operational resilience as a habit: you design for failure, build with recovery in mind, and treat incident learning as a driver of engineering quality, • Strong judgment in small-team environments. You have owned quality yourself rather than inheriting it from process. You can take high-level product, customer, or security needs and turn them into practical technical plans without a big PM or architecture layer handing you a spec, • Deep relational data modeling and schema design. Postgres or equivalent as a daily tool. Strong instincts for migrations, indexing, and query performance under load, • API design experience: you have built and maintained APIs that outlived their first version and you have opinions about versioning, compatibility, and contract discipline, • Identity and authentication systems experience: modern identity protocols (OAuth or similar), session management, role-based access, multi-tenant boundaries. You understand what breaks when these are wrong, • Security mindset in practice, not theory. You think about attack surface, threat models, and access control as a matter of course, with working knowledge of cryptography and data protection fundamentals, • Code quality and observability as habits. Tests, substantive review, documentation, and the instinct to measure how software behaves in production are part of doing the work, not chores after it, • Strong Python for backend services. Comfortable with SQL, Docker, at least one major cloud, infrastructure as code (Terraform, Pulumi, or equivalent), and modern CI/CD practices, • Modern AI development tools are part of how you ship. You stay current as they evolve, adopt what adds value, and use AI to go faster on work you already understand, which is why you catch AI mistakes before they become bugs, • Demonstrated technical leadership through influence, not authority: you raise the bar through code review, standards, and example, and you have earned trust from engineers who were there before you, • Pride in craft, proactive risk-flagging, and the instinct to raise quality bars rather than work around them. Intellectual honesty and the willingness to push back when the right answer is unpopular, • Clear written and verbal communication, particularly when working asynchronously across time zones Valued: • Designing systems that interface with deployed hardware: device fleets, provisioning flows, secure OTA updates, telemetry ingestion, • Shipping to enterprise customers, incident response commitments, and contractual security obligations, • Experience inside a compliance-driven environment (SOC 2, ISO 27001, HIPAA, or equivalent) or building for auditability as a default, • Kubernetes and modern container orchestration, • Additional backend language fluency (Node or TypeScript, Go, Rust) for polyglot service work, • Audio, signal processing, or real-time systems background, • AI and machine learning in product contexts: audio generation, personalization engines, training and serving pipelines Not required but welcome: • Interest in sound, music, acoustics, or the wellbeing applications of audio Team and how we work You will join a small, senior team distributed across the UK, Europe, and the US West Coast. We run a weekly product cadence, work asynchronously by default, and rely on clear written communication to stay aligned across time zones. Compensation and benefits Base salary £65,000 to £85,000, calibrated to experience. Equity will be a material part of the package. Benefits include private medical insurance for UK employees, 28 days paid holiday inclusive of UK holidays, flexible remote-first working. UK right to work is required. How to apply Send a short note, your CV, and links to work you are proud of. Please include three to five sentences on a production system, API, identity/auth, or platform hardening project you owned.

Contract AI Engineer | Outside IR35 | Agentic AI / LLMs / RAG Conquer AI is hiring a Contract AI Engineer We’re looking for a highly capable, hands-on AI Engineer with a strong traditional software engineering background and deep applied AI experience. This is an Outside IR35 contract working on greenfield AI projects for enterprise clients. You’ll be helping design and build real-world systems using LLMs, RAG, vector databases, agentic AI, and workflow automation. This is not a research-only role. We need someone who can build production-grade systems, integrate with existing platforms, and move quickly from problem definition to working software. What you’ll be working on: Agentic AI workflow automation LLM-powered applications RAG and knowledge systems Vector database architecture and retrieval pipelines Document intelligence and information extraction AI systems that connect into business workflows API integrations and backend services Greenfield client projects and internal Conquer AI product work Core skills we’re looking for: Strong machine learning experience Strong traditional software engineering background Python Node.js TypeScript LLMs RAG Vector databases Agentic AI systems Workflow automation API integrations Backend engineering You’ll be a strong fit if you: Have built real AI systems beyond prototypes Can design and ship reliable backend services Understand retrieval, ranking, chunking, embeddings, and evaluation Have experience integrating LLMs into business workflows Can work with ambiguity and move quickly Are comfortable working with client-facing teams Can turn vague business problems into working technical solutions Care about practical delivery, not just experimentation Nice to have: Experience with AWS, Azure, or GCP Experience with LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, or similar Experience with Pinecone, Weaviate, Qdrant, Chroma, pgvector, or similar Experience with document processing, OCR, structured extraction, or enterprise search Experience in consulting, enterprise delivery, SaaS, or startup environments About Conquer AI Conquer AI builds bespoke agentic AI systems for enterprise clients. We work with clients to understand their workflows, identify where AI can automate or augment work, and build practical systems that operate inside their existing environment. Our work spans document intelligence, workflow automation, knowledge retrieval, operational copilots, AI agents, data extraction, and enterprise integrations. Contract: Outside IR35 Location: UK-based preferred Working style: Hybrid / remote, with occasional client or team sessions Start: ASAP Engagement: Contract If you’re a strong software engineer with serious applied AI experience and you want to work on meaningful agentic AI systems, we’d like to speak with you.

We are seeking a highly skilled and innovative Agentic AI Engineer to join our team and drive the development and deployment of cutting-edge generative AI solutions within the Microsoft ecosystem. This position is well-suited for candidates with a background in software engineering, data science, or machine learning who excel at developing production-grade AI applications utilizing Microsoft platforms such as M365, Copilot Studio, and Azure AI Foundry, and have at least one year of relevant experience. Strong software development background with proficiency in Python. • Experience with API development using FastAPI, Flask, or Django., • Knowledge of Docker and containerized deployments., • Hands-on experience with LLM models such as OpenAI GPTs, Claude, Gemini, LLaMA, or Mistral., • Expertise in applying prompt engineering techniques to improve model performance and reliability., • Experience in implementing robust evaluation frameworks and Responsible AI (RAI) practices., • Familiarity with Microsoft GenAI/Agentic AI ecosystem such as M365, Copilot Studio and Azure AI Foundry., • Strong understanding of software engineering principles and best practices., • Ability to work in agile environments and collaborate with cross-functional teams. You'll stand out if you also meet any of the following: • You are good at prototyping and experimenting with emerging technologies to assess feasibility and impact., • You have knowledge of vector databases, RAG architectures and their integration into enterprise systems, • You have experience with GenAI development frameworks or orchestration tools such as Semantic Kernel, AutoGen, LangGraph, LangChain, or PromptFlow., • You are familiar with core agent communication protocols, including MCP or A2A., • You are a person who loves to stay current with the latest advancements in GenAI, LLMs, and AI frameworks., • You are Microsoft Certified in Azure AI Engineer Associate or Azure AI Fundamentals. 🛠️ Qualifications • Bachelor's in computer science, data science, or a related field About Avanade: Avanade is the leading provider of innovative digital, cloud, and advisory services, industry solutions, and design-led experiences across the Microsoft ecosystem. The company was founded 25 years ago as a joint venture between Accenture and Microsoft. Back then, digital transformation, automation, and AI weren’t mainstream topics—Microsoft was primarily known for Office 365. But Avanade evolved with the times and is now the number one transformation leader within the Microsoft ecosystem. We have a team of 61,000 professionals in 26 countries. We’re a truly global company with a strong local presence— what I like to call “GLOCAL”: making global impacts on a local level.

About Inworld Inworld is a product-oriented research lab of top AI researchers and engineers, developing best-in-class realtime multimodal models and the only realtime orchestration platform optimized for thousands of queries per second. We’ve raised more than $125M from Lightspeed, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta and Stanford, among others. Our technology has powered experiences from companies such as NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella and Bible Chat. We’ve also been recognized by CB Insights as one of the 100 most promising AI companies globally and have been named one of LinkedIn's Top 10 Startups in the USA. Who We're Looking For A year ago, reliably working agentic systems and sub-second multimodal inference at scale barely existed. Nobody has a decade of experience here. So we're not screening for a resume template — we're looking for strong people from varied backgrounds who learn fast, thrive in ambiguity, and can show us what they've built, broken, and understood. Experience We Find Useful You don't need all of this. But you need enough to make a case. • Inference Optimization. Deep understanding of modern serving frameworks and techniques like vLLM or TRT-LLM., • Model Acceleration. Hands-on experience with quantization, distillation, caching strategies , continuous batching, paged attention, and speculative decoding., • High-Performance Systems. Proficiency in C++, CUDA, Rust, or highly optimized Python. You know how to profile code and squeeze every ounce of performance out of NVIDIA GPUs., • Distributed Systems & Scaling. Experience with Kubernetes, Ray, custom load balancing, multi-GPU/multi-node inference, and reliably handling thousands of concurrent connections., • Public work. Non-trivial systems programming projects, open-source contributions to major inference engines, or deep-dive technical write-ups., • Full-cycle ownership. You can take a model from the research team, containerize it, optimize its serving, and ensure it runs reliably in production., • Background. PhD in CS, Physics, Math, or equivalent practical experience building backend or ML systems. Who Thrives Here • You don’t need a roadmap to start walking; you’re comfortable picking a direction and building the map as you go., • You believe engineering isn't finished until it’s shipped and stable. You have a bias for impact over purely theoretical optimizations., • You don't just ship code; you obsess over the why. You’re the first to question an architecture if you think there’s a better way to solve the core latency or throughput problem., • You aren't satisfied with "the PM said so." You thrive on deep context and want to understand the fundamental logic behind every decision we make. What Working Here Is Like We hand you unclear problems and expect you to make them clear. We value engineers who say "I don't know yet" and then design the benchmark or prototype that finds out. We treat performance, latency, and reliability as first-class product features, not a box to check before launch. Impact comes before everything else, though we support sharing work and open-source contributions that move the field forward. Your work should be visible. Flat structure, fast iterations, minimal process theater. The base salary range for this full-time position is £140,000 – £200,000. In addition to base pay, total compensation includes equity and benefits. Within the range, individual pay is determined by work location, level, and additional factors, including competencies, experience, and business needs. The base pay range is subject to change and may be modified in the future. Candidates must already have the legal right to work in the United Kingdom, as visa sponsorship is not available for this role. For candidates interested in relocating to the San Francisco Bay Area in the future, full U.S. visa and relocation support may be available, subject to business needs and applicable legal and work authorization requirements.

Do you want to productionise end-to-end enterprise GenAI systems? Have you built scalable ML platforms and MLOps infrastructure in production? Are you ready to establish ML Engineering capability inside a business heavily investing in AI? A large UK professional services organisation is building out its ML Engineering capability and hiring a Lead Machine Learning Engineer to help shape the function from the ground up. This is a hands-on role focused on production AI systems, MLOps, cloud ML infrastructure, and enterprise GenAI deployment. Current projects include large-scale document AI workflows using LLMs to process and structure complex documents. Key responsibilities: • Productionise LLM and GenAI systems, • Build scalable MLOps and deployment pipelines, • Develop AI infrastructure in Azure and Databricks, • Create data pipelines for enterprise AI workflows, • Work closely with DS teams and business stakeholders Key details: • £90k + ~10% bonus, • Essentially remote across the UK, • 35-hour week with flexible hours, • Stack: Azure ML, AI Foundry, Databricks, Python, FastAPI, • 12-month FTC with strong chance of permanent conversion, • Cannot sponsor Requirements: • 7+ years across MLE/MLOps/Data Engineering/SWE, • Production ML deployment experience, • LLM/NLP/GenAI exposure, • Strong stakeholder management and independent delivery skills Interested? Please apply below.

Applied AI Scientist | Agents | Up to £120,000 | United Kingdom (Remote) We’re supporting a fast-growing UK technology scale-up that is hiring an Applied AI Scientist to join a highly capable technical team. This is a role for someone who enjoys working at the intersection of machine learning research, software engineering and applied problem solving. You’ll be taking complex AI/ML concepts and turning them into reliable, scalable systems that can be used in demanding real-world settings. It’s a strong fit for someone who wants more than pure research, but still wants the technical depth, mathematical challenge and freedom to explore modern AI approaches. The role As an Applied AI Scientist, you’ll work in a hands-on, delivery-focused engineering environment where you’ll help design, build and improve advanced AI capabilities. You’ll be involved across the full lifecycle, from understanding complex requirements and exploring suitable approaches, through to model development, system integration, optimisation and deployment. This is a practical, highly technical role where strong Python engineering, mathematical rigour and modern AI/ML knowledge are all important. What you’ll be doing You’ll be working on areas such as: • Translating AI/ML research into robust, production-ready solutions, • Designing and implementing machine learning models for complex applied problems, • Building and integrating modern AI systems using techniques such as RAG, LLMs, embeddings, vector search and multi-agent architectures, • Writing clean, performant Python code for production environments, • Working closely with engineering teams to improve architecture, reliability and scalability, • Collaborating with stakeholders to turn ambiguous or complex problems into delivered technical solutions, • Contributing to technical direction, best practice and knowledge sharing across the team What we’re looking for You’ll likely bring: • A strong academic background in a quantitative discipline such as Physics, Applied Mathematics, Statistics, Computer Science or similar, • Excellent Python skills for AI/ML development, • Hands-on experience with frameworks such as PyTorch, JAX, TensorFlow, Scikit-Learn or similar, • Strong mathematical and statistical foundations, • Experience developing ML models or AI systems beyond experimentation, • An ability to work across research, engineering and product-style delivery, • A pragmatic mindset and comfort working in a fast-paced scale-up environment It would be helpful if you also have experience with: • RAG, LLMs, embeddings, vector databases or agent-based systems, • MLOps tools such as MLflow, Kubeflow or similar, • Docker, Kubernetes or containerised deployment environments, • Simulation, optimisation, decision-support or modelling techniques, • Secure development practices, • Working with complex, regulated or high-reliability systems You’ll need to be UK-based, open to occasional travel, and willing to go through standard background/security checks if required. Why consider it? This is an opportunity to join a scaling technology company at an exciting stage of growth, working with a strong technical team on challenging AI problems. The package includes: • Competitive salary and benefits, • Remote UK working, • Access to modern AI tools and infrastructure, • A high-trust culture focused on delivery rather than bureaucracy, • Regular company-wide Fridays off and early Friday finishes, • Around 20 additional days’ worth of time back each year through company days off.

Full-time | Remote with trips to Silicon Valley office | Reports to Founders Introduction: • Join us at Fastino as we build the next generation of LLMs. Our team, boasting alumni from Google Research, Apple, Stanford, and Cambridge is on a mission to develop specialized, efficient AI., • Fastino's GLiNER family of open source models has been downloaded more than 5 million times and is used by companies such as NVIDIA, Meta, and Airbnb, • Fastino has raised $25M (as featured in TechCrunch) through our seed round and is backed by leading investors including Microsoft, Khosla Ventures, Insight Partners, Github CEO Thomas Dohmke, Docker CEO Scott Johnston, and others. What You’ll Work On: • Experiment with novel language model architectures, helping drive and execute Fastino's research roadmap, • Optimize Fastino’s multimodal models to improve response quality, instruction adherence, and overall performance metrics, • Architect data processing pipelines, implementing filtering, balancing, and captioning systems to ensure training data quality across diverse content categories, • Implement reinforcement learning techniques including Direct Preference Optimization and Generalized Reward Preference Optimization to align model outputs with human preferences and quality standards, • Build robust and real-world motivated evaluations, • Partner with Fastino engineering team to ship model updates directly to customers, • Establish best practices for code health and documentation on the team, to facilitate collaboration and reliable development What We’re Looking For: • Required - Great velocity for building and shipping agents / AI products., • Optional - Advanced degree (Master's or PhD) in Computer Science, Artificial Intelligence, Machine Learning, or related technical discipline with concentrated study in deep learning and computer vision methodologies, • Optional - Demonstrated ability to do independent research in Academic or Industry settings, • Optional - Substantial industry experience in large-scale deep learning model training, with demonstrated expertise in at least one of Large Language Models, Vision-Language Models, Diffusion Models, or comparable generative AI architectures, • Optional - Comprehensive technical proficiency and practical experience with leading deep learning frameworks, including advanced competency in one of PyTorch, JAX, TensorFlow, or equivalent platforms for model development and optimization

Principal Vulnerability Engineer (0-Day Research & Offensive Security Tooling) (Remote) About the Rol eWe are looking for an exceptional Principal Vulnerability Engineer to join our Offensive Security Research team. This is a unique opportunity for a highly technical security professional who combines elite vulnerability research capabilities with production-grade software engineering expertise .You will conduct original 0-day and n-day vulnerability research while building scalable, AI-powered tooling that automates vulnerability discovery, exploit validation, patch analysis, and detection engineering. Working at the intersection of offensive security, reverse engineering, software engineering, and applied AI, you will help organizations identify and eliminate critical vulnerabilities before they can be weaponized by adversaries .This role is ideal for a Senior Vulnerability Researcher, Principal Security Engineer, Exploit Developer, Offensive Security Researcher, Red Team Researcher, Security Software Engineer, or Reverse Engineer looking to work on high-impact security challenges at scale .What You'll D oVulnerability Researc • hConduct original 0-day and n-day vulnerability research across enterprise technologies, cloud services, applications, appliances, firmware, and operating systems, • .Perform patch diffing, root-cause analysis, reverse engineering, and exploit development against both source-available and binary-only targets, • .Discover and validate critical vulnerabilities including remote code execution (RCE), authentication bypass, privilege escalation, sandbox escapes, and full system compromise scenarios, • .Develop proof-of-concept exploits and technical advisories to support vulnerability validation and risk assessment .Offensive Security Engineerin • gDesign, build, and maintain production-grade tooling for automated vulnerability discovery, exploit validation, attack surface analysis, and detection signature generation, • .Develop scalable offensive security systems capable of operating across large attack surfaces and processing vast amounts of security data, • .Build automation that transforms manual research workflows into repeatable, scalable security capabilities, • .Drive engineering excellence through clean, maintainable, and production-quality code .AI & LLM Innovatio • nDesign and implement AI-assisted and LLM-powered workflows to accelerate vulnerability research and exploit development, • .Integrate large language models into offensive security pipelines to improve triage, analysis, automation, and research productivity, • .Explore emerging applications of AI in vulnerability discovery, reverse engineering, code analysis, and security automation, • .Measure and optimize the real-world impact of AI-driven security tooling .Research Leadershi • pLead advanced research initiatives focused on emerging threats, attack techniques, and novel vulnerability classes, • .Collaborate with engineers, researchers, and product teams to operationalize research outcomes, • .Establish technical standards and best practices across offensive security engineering and vulnerability research, • .Mentor team members on exploit development, reverse engineering, vulnerability analysis, and tooling development .Community Engagemen • tPublish original research, technical blogs, whitepapers, and vulnerability disclosures, • .Present research findings at industry-leading security conferences and events, • .Represent the organization within the global offensive security and vulnerability research community, • .Contribute to the advancement of security research through responsible disclosure and knowledge sharing .What We're Looking Fo rVulnerability Research Expertis • e5+ years of hands-on experience in vulnerability research, exploit development, offensive security, or security research, • .Demonstrated history of discovering, validating, or analyzing high-impact vulnerabilities, • .Experience with CVEs, coordinated vulnerability disclosure, security advisories, or published research, • .Deep understanding of modern attack techniques, exploit chains, and adversary methodologies .0-Day & N-Day Researc • hStrong experience performing patch diffing and root-cause analysis, • .Ability to reverse engineer software updates and identify security fixes before public disclosure details emerge, • .Experience building proof-of-concept exploits for vulnerability validation, • .Knowledge of vulnerability lifecycle management and exploitation techniques .Web & Binary Securit • yExpertise across both web application and binary exploitation domains, • .Strong understanding of authentication, authorization, deserialization, injection, memory corruption, logic flaws, and privilege escalation vulnerabilities, • .Hands-on experience with, • :Burp Suit, • eGhidr, • aIDA Pr, • oBinary Ninj, • aWinDb, • gGD, • BFrid, • aAFL+, • +libFuzze, • rFuzzing frameworks and debugging tool sSoftware Engineerin • gExpert-level Python development experience, • .Strong software engineering background with experience building production systems used by customers or internal stakeholders, • .Experience designing scalable architectures, APIs, automation platforms, and security tooling, • .Knowledge of modern software development practices, testing, CI/CD, and cloud-native environments .AI & Automatio • nPractical experience leveraging LLMs, AI agents, or machine learning systems within security workflows, • .Ability to evaluate, implement, and operationalize AI technologies that deliver measurable research acceleration, • .Experience building AI-assisted tooling for code analysis, vulnerability research, reverse engineering, or security operations is highly desirable .Startup & Scale-Up Mindse • tComfortable operating in a fast-paced, high-growth environment, • .Demonstrated ownership mentality and bias toward execution, • .Ability to navigate ambiguity, solve difficult technical problems, and deliver outcomes with minimal supervision, • .Passion for innovation, experimentation, and continuous learning . Technologi esVulnerability Research, 0-Day Research, N-Day Analysis, Patch Diffing, Exploit Development, Reverse Engineering, Offensive Security, Red Teaming, Security Research, Binary Exploitation, Web Application Security, Remote Code Execution (RCE), Memory Corruption, Authentication Bypass, Privilege Escalation, CVE Research, Vulnerability Discovery, Python, Ghidra, IDA Pro, Burp Suite, WinDbg, GDB, Frida, AFL++, Fuzzing, Detection Engineering, Security Automation, AI Security, LLMs, Security Tooling, Threat Research, Binary Analysis, Firmware Security, Cloud Security, Attack Surface Managemen t. Why Join • Us?Conduct cutting-edge 0-day and n-day vulnerability resear, • ch.Build AI-powered offensive security tooling used at sca, • le.Focus on impactful vulnerabilities and real-world exploitation scenari, • os.Present original research at leading global cybersecurity conferenc, • es.Work alongside world-class security researchers, engineers, and offensive security specialis, • ts.Influence the future of offensive security through innovation, automation, and advanced resear ch.

Software Engineer (backend) 📍Location: UK (Remote) 💰Salary: £125k –£145k + annual performance bonus ❌No visa sponsorship offered Capital markets move trillions. The legal documents underpinning those transactions are dense, nuanced, and mission-critical, and right now, most of that complexity is still handled by hand. This company is changing that. Built on years of machine learning PhD expertise, backed by a top-tier venture firm, and now operating at global scale following a high-profile acquisition, this team is tackling some of the hardest NLP problems in finance and law. Their customers include many of the world's leading law firms and the demand for what they're building is accelerating fast. As a Software Engineer, you won't be maintaining someone else's roadmap. You'll be architecting the critical backbone between a cutting-edge AI data platform and the professionals who depend on it daily. Your decisions will ship. Your influence will stick. If you want to do the most meaningful work of your career, in a team that moves fast, thinks deeply, and gives a damn about craft - read on. The Role • Design and build scalable backend services and APIs that power a document analysis platform used by major legal and financial institutions, • Write high-performance, maintainable server-side code and data processing pipelines, • Define clear, efficient API contracts and contribute meaningfully to service architecture decisions, • Design compositional API primitives that accelerate the productionisation of a growing library of document insights, • Build and maintain integrations with third-party services and internal ML systems, • Contribute to frontend features and components as needed to deliver end-to-end functionality, • Drive performance optimisation for data-intensive backend operations, • Champion engineering excellence — contribute to code practices, design patterns, and long-term maintainability, • Improve developer experience by automating and improving CI/CD and day-to-day production operations Skills Needed Required: • 6+ years of professional full-stack development experience with a strong backend focus, • Proficiency in backend technologies - Python (FastAPI, Django, or Flask) is preferred; Node.js, Java, or Go also considered, • Strong understanding of RESTful APIs, database design, and data modelling (SQL and NoSQL), • Experience with containerisation and orchestration (Docker, Kubernetes) and cloud platforms (AWS preferred), • Proficiency in TypeScript and React for frontend contributions, • Foundation in distributed systems, event-driven architectures, and web fundamentals, • Strong communication skills and a self-starting, action-biased approach to problem-solving, • Bachelor's degree in Computer Science or related field, or equivalent practical experience Preferred: • Experience with microservices architecture and message queues, • Experience building data processing pipelines or working with large-scale data systems, • Familiarity with CI/CD best practices and single-tenant architectures, • Experience optimising backend performance for data-intensive applications, • Mentorship experience and a track record of ownership in previous roles, • Interest in language, economics, or legal/financial domains Benefits • 15 - 20% annual performance bonus, • Fully remote - work from anywhere in the UK, • Private medical, dental, and vision insurance, • Pension and retirement planning support, • Health and wellbeing reimbursement (including fitness and mindfulness), • Flexible paid time off Research indicates that men will apply to a role when they only meet 50-60% of the descriptions, however, when looking at women and other minority groups, they can look for up to a 99% match in order to apply to a role. If you feel you are a fit for our role, please still apply, don’t worry if you don’t tick every single box. We’d still love to hear from you. We encourage underrepresented talent to apply to all our roles & support accessibility needs

Data Scientist / Machine Learning Engineer – Defence & Security Bristol, London, Manchester DV Cleared Required The Opportunity Join a growing Data Science & Machine Learning team working on some of the most ambitious and mission-critical programmes in the Defence & Security sector. This role offers the chance to apply cutting-edge AI techniques to real-world challenges, delivering impactful solutions that support national security. Key Responsibilities • Apply data science, machine learning, and AI techniques to solve complex, real-world problems, • Research, design, and implement innovative models and solutions, • Work across the full ML lifecycle from requirements gathering and prototyping to deployment and live service support, • Deliver high-quality, scalable solutions with measurable impact, • Collaborate with multidisciplinary teams in agile environments, • Contribute to new ideas, propositions, and project delivery, • Build strong relationships with stakeholders and communicate insights effectively Essential Skills & Experience • Proven experience applying data science or machine learning in Defence, Security, public sector, or academia, • Strong understanding of machine learning models (e.g. Transformers, CNNs, Generative AI) and their practical applications, • Excellent communication skills with the ability to present complex ideas clearly, • Experience working with stakeholders and cross-functional teams, • Track record of contributing to project delivery, innovation, or capability development Desirable Skills • Experience working with text, audio, image, or video data, • Familiarity with cloud platforms (AWS, Azure, GCP), • Strong Python skills and experience with ML libraries and frameworks (e.g. TensorFlow, PyTorch), • Knowledge of statistics and probability, • Experience with ML lifecycle tools (e.g. MLflow, Kubeflow, Argo), • Understanding of Ethical and Responsible AI principles Security Requirements You must hold active UK Developed Vetting (DV) clearance.

About Quantiphi: Quantiphi is an award-winning, AI-First global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building innovative AI technologies—we solve the problems that matter most to our clients. Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries. Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation. #SolvingWhatMatters. We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including: • 21 Google Cloud Partner of the Year awards in the past 10 years, • 3 AWS AI/ML Partner of the Year awards, • 3 NVIDIA Partner of the Year awards, • 3 Snowflake Partner of the Year awards, • Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms Quantiphi delivers First-in-class AI solutions across Life Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI accelerators. We are also proud to be certified as a Great Place to Work—reflecting our commitment to our people and our culture. For more details, visit: or Role: MLOps Architect - AWS Experience Level: 8+ years Employment type: Full Time Location: Remote (UK) What you will do: • We are seeking an experienced MLOps/AIOps Architect who can drive end-to-end implementation of MLOps strategy and also contribute broadly across other enterprise AI/ML programs. This role demands a strong architectural mindset, hands-on technical depth, and the ability to design scalable, cloud-native machine learning operations across traditional ML and modern LLM workflows., • The ideal candidate will bring experience with SageMaker-based MLOps pipelines, evaluation of equivalent tooling stacks, hybrid MLOps/LLMOps automation, CI/CD orchestration, governance, monitoring, automation and production-grade scalability patterns. Key Responsibilities: • Architect and implement the MLOps strategy for the programme, ensuring alignment with the project proposal and delivery roadmap., • Design and own enterprise-grade ML/LLM pipelines covering model training, validation, deployment, versioning, monitoring, and CI/CD automation., • Build container-oriented ML platforms (EKS-first) while evaluating alternative orchestration tools with similar capabilities (Kubeflow, SageMaker, MLflow, Airflow, etc.)., • Implement hybrid MLOps + LLMOps workflows, including prompt/version governance, evaluation frameworks, and monitoring for LLM-based systems., • Serve as a technical authority across multiple internal and customer projects, contributing architectural patterns, best practices, and reusable frameworks., • Enable observability, monitoring, drift detection, lineage tracking, and auditability across ML/LLM systems., • Define and implement standards for model deployment, monitoring, governance, and automation to ensure production-grade reliability and scalability., • Collaborate with cross-functional teams — data engineering, platform, DevOps, and client stakeholders — to deliver production-ready ML solutions., • Ensure all solutions adhere to security, governance, and compliance expectations, particularly around handling cloud services, Kubernetes workloads, and MLOps tools., • Conduct architecture reviews, troubleshoot complex ML system issues, and guide teams through implementation across cloud-native ML platforms., • Mentor engineers and provide guidance on modern MLOps tools, platform capabilities, and best practices. Basic Qualifications (BQs): • Expierence working in ML/AI engineering or MLOps roles with strong architecture exposure., • Strong experience in leading enterprise grade MLOps strategy and its execution., • Proven experience in implementing the adoption of enterprise-grade MLOps platforms with client data science teams., • Proven leadership in defining and executing enterprise MLOps strategy., • Demonstrated success in driving the adoption of enterprise-grade MLOps platforms with client data science teams., • Strong expertise in AWS cloud-native ML stack, including: SageMaker(primary), EKS, Lambda, API Gateway, CI/CD (CodeBuild/CodePipeline or equivalent)., • Hands-on experience with at least one major MLOps toolset and awareness of alternatives: MLflow, Kubeflow, SageMaker Pipelines, Airflow, BentoML, KServe, Seldon., • Deep understanding of model lifecycle management (feature engineering->training → registry → deployment → monitoring)., • Experience implementing or supporting LLMOps pipelines, including: prompt versioning, evaluation metrics, automation frameworks., • Deep understanding of ML lifecycle: data ingestion, feature engineering, training, evaluation, model packaging, CI/CD, drift detection, monitoring, and governance., • Strong experience with AWS SageMaker (Pipelines, Feature Store, Model Registry, Model Monitor)., • Experience implementing ML CI/CD pipelines including automated training, testing, validation, model promotion, and endpoint deployment., • Experience working on Infrastructure as Code (IaC) tools and CI/CD pipelines., • Experience with Kubernetes based development., • Experience with feature engineering pipelines and Feature Store management., • Understanding of lineage tracking: training data snapshot, feature versions, code versioning, metadata tracking, reproducibility., • Hands-on experience with AWS Bedrock and Agentcore service., • Experience with CloudWatch, SageMaker Model Monitor, Prometheus/Grafana., • Strong foundation in Python and cloud-native development patterns., • Solid understanding of security best practices, IAM, secrets management, and artifact governance. Other Qualifications (OQs): • Experience with vector databases, RAG pipelines, or multi-agent AI systems., • Exposure to DevOps and infrastructure-as-code (Terraform, Helm, CDK)., • Hands-on understanding of model drift detection, A/B testing, canary rollouts, and blue-green deployments., • Familiarity with Observability stacks (Prometheus, Grafana, CloudWatch, OpenTelemetry)., • SQL and data transformation experience using Snowflake, Databricks, Spark., • Ability to translate business goals into scalable AI/ML platform designs., • Strong communication and cross-team collaboration skills., • Ability to guide engineering teams through technical uncertainty and design choices. What is in it for you: • Join one of the world’s fastest-growing AI-first digital engineering companies and make a real impact at scale., • Lead and collaborate with a high-energy team of talented, driven individuals solving complex, meaningful challenges., • Work with Fortune 500 companies and disruptive innovators in a research-driven environment with 60+ patents., • Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling.

Location: Remote (UK or Greece) Salary: Competitive, based on experience Job Type: Full-Time Working for Krotos We revolutionize sound creation by making Hollywood-quality sound accessible to everyone. Our groundbreaking software, featured in blockbuster productions like Avengers and Game of Thrones, empowers creators to design high-quality sound faster and more intuitively. Our mission is to change the way people design and perform sound. As a fast-growing, remote-first company, we are pushing the boundaries of creativity and innovation in content creation. The role Join our R&D team as an ML specialist to research, develop and ship technologies that change how people create sound. We're building systems that understand, manipulate and generate audio in ways that feel genuinely intuitive to professionals and we're nowhere near done. You'll own problems end-to-end, from identifying the right approach to getting it in front of customers, working closely with product to make sure what we build actually matters. Key objectives • Research and develop multimodal AI technologies that improve the way people work with sound, • Build and optimise LLM-powered audio pipelines and extend our Qwen-based vision model for audio production use cases, • Identify opportunities to apply the latest advances in generative AI and multimodal research to the professional audio field Responsibilities • Work within the team and research engineers to solve problems for film makers & sound designers, • Design and maintain backend inference systems that meet the latency and quality demands of professional audio workflows, • Collaborate with product and engineering teams to implement ML research in commercial products, • Work with the product owner to identify where ML creates the most value for customers, • Clearly and effectively communicate ML concepts, model behaviour and tradeoffs to the wider business, • Provide technical guidance on model architecture, fine-tuning strategy and deployment decisions Skills and experience Essential: • A degree in a relevant field or extensive professional experience, • Experience in commercial machine learning research and development, • Strong hands-on experience fine-tuning and adapting large language models (LoRA, QLoRA, PEFT, DPO/RLHF), • Experience working with data, training and evaluating machine learning models, • Experience with multimodal architectures — audio-language, vision-language, or both, • Extensive audio and signal processing knowledge — spectral features, neural codecs, generative audio models, • Experience deploying models to cloud inference (AWS or GCP) with awareness of latency and cost tradeoffs, • MLOps competency — experiment tracking, model versioning, evaluation pipelines, ML CI, • Experience with Python and modern ML frameworks (PyTorch, JAX), • Excellent verbal and written English communication skills, • Excellent analytical and problem-solving skills, • A desire to innovate and push current practice Desirable: • Experience with vision-language models, particularly Qwen-VL or similar, • Experience with Agile software development practices, • Familiarity with VST/AU plugin architectures and real-time audio constraints, • Experience delivering ML technologies shipped in commercial audio software, • Knowledge of sound design and audio post-production workflows, • C++ reading ability, • Previously registered audio machine learning patents Team Core Values Inventive. Driven. Transparent. Our values define who we are and how we work: • Honesty & Transparency: We communicate openly, share the truth even when it’s difficult, and build trust through clarity, • Team Player: We collaborate, support each other, and put collective success above ego, • Problem Solver: We face challenges head-on and find creative, practical solutions., • Open-Minded: We listen to others, consider different perspectives, and recognise the complexity of good decisions, • Politeness & Respect: We treat colleagues and customers with courtesy and professionalism, • Curiosity & Growth: We love learning, experimenting, and continuously improving, • Data-Driven: We let insights and evidence guide our decisions, not guesswork, • High Standards: We take pride in excellence and pay attention to the details that matter, • Strong Work Ethic: We commit, follow through, and work hard to achieve ambitious goals Benefits • Competitive salary and benefits package, • Private health insurance, • Opportunities for professional growth and development, • Flexible, remote working environment, • Access to cutting-edge technology and tools, • Exciting projects in a fast-growing, innovative company Next steps Send your CV and a cover letter to admin@krotosaudio.com explaining why you are the best candidate for this role, referencing the requirements above and including two to three brief examples of relevant results. Note: All offers are subject to eligibility to work in the UK or Greece and satisfactory references. At Krotos, we value diversity and are committed to fostering an inclusive environment. We encourage applications from candidates of all backgrounds. Reasonable adjustments are available throughout the application and interview process.

Trainee AI Engineer - No Experience Needed! Ready to launch a future-proof career in AI - even if you have zero experience? We’re looking for ambitious individuals ready to break into the world of artificial intelligence and data science. Our industry-leading AI Traineeship is designed to take you from complete beginner to a highly employable Junior AI Engineer, with full training provided and a guaranteed job offer (£25K-£45K starting salary) within 20 miles of your location. Whether you're working full-time, part-time, or currently unemployed, our flexible, self-paced program allows you to train around your lifestyle and be job-ready in as little as 6-12 months. How it works - your journey to AI successStep 1: Discover AI Start your journey with our beginner-friendly mini-course bundle. Explore the fundamentals of AI through interactive videos, presentations, and quizzes - all accessible anytime, anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build confidence and a strong portfolio as you learn. Step 3: Get Certified Prepare fo...

Lead ML Engineer (12-month FTC) £80,000 - £90,000 Remote (UK Based Only) This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation. THE COMPANY They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms. THE ROLE As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on. Specifically, you can expect to be involved in the following: • Leading the ML Engineering capability and contributing to the wider data and AI strategy., • Designing, building, and productionising ML pipelines aligned to business goals., • Delivering NLP and LLM-driven solutions, including fine-tuning and deployment., • Implementing strong MLOps practices across model training, deployment, and monitoring., • Working closely with Data Scientists to support, maintain, and improve models in production., • Building APIs and data products that enable ML solutio...

AI Engineer Placement Programme no experience needed From £45,000 to £75,000 per annum AI Trainee Engineer £45,000£75,000 Job Programme This is a self-funded programme that leads to employment, fees apply. Job GuaranteeComplete the programme and get a job, or get your course fees back. Location:UK Wide (Remote Opportunities Available) Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as afew weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification, • Training in Python, Machine Learning, and AI systems, • Hands-on projects using real-world AI tools and technologies, • Professional CV and LinkedIn support, • Interview preparation, • Dedicated recruitment support until placed, • Personalised 1-1 tutor support, • Hands-on projects to build your AI portfolio Flexible, affordable, achi...

Trainee Data Scientist - No Experience RequiredAre you looking to kick-start a new career as a Data Scientist?We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee (£25K-£45K) within 20 miles of your location upon completion. Whether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you.The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months: Step 1 - Full Data Science Career Training You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI, and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step 2 - CompTIA Data+ CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. It teaches Data Mining, Vis...

Lead Data Scientist Pay of up £92,522, plus 28.97% employer pension contributions, hybrid working, flexible hours, and great work life balance. We want to hire a new Lead Data Scientist. If you're skilled at harnessing data and applying advanced analytics to improve outcomes and excited by the prospect of using data and technology at scale in innovative ways to solve complex problems we'd love to hear from you. DWP Digital provides inspiring career opportunities for people who are passionate about creating meaningful impact. As the Lead Data Scientist for Working Age Services, you will lead a high-performing analytical team helping to improve outcomes for claimants and agents. You'll use data science to inform the design, deliver and evaluation of Working Age digital services. Working closely with the Working Age Services Data Lead and Delivery Lead, you will collaborate with cross-disciplinary development teams to understand their data needs and ensure these are effectively met through strong engagement with the Data and Analytics platform team. DWP. Digital with Purpose. What skills, knowledge and experience will you need? • Demonstrable experience of leading high-performing, multi-disciplinary teams that deliver analytics and insights at pace, effectively supporting project, programme and business outcomes., • Strong working knowledge of a broad range of data science techniques including a clear understanding of their appropriate application alongside a commitment to remaining current with emerging industry developments and practices., • Proven ability to build and maintain trusted relationships with peers and senior stakeholders including colleagues across digital, operations and policy in order to understand requirements and maximise value delivery., • Evidenced capability in establishing standards and best practices for teams including implementing appropriate safeguards to ensure compliance with privacy, security and data protection principles as well as addressing ethical considerations such as unintended bias., • Demonstrable contribution to leadership within the professional community including shaping recruitment strategies, supporting career progression and contributing to wider Digital Practice initiatives., • Proven ability to create an inclusive and diverse working environment in which individuals feel safe to challenge, are confident their perspectives will be heard and are supported to take initiative and develop professionally., • A degree or higher in STEM (Science, Technology, Engineering, or Mathematics) is essential for this role, and evidence of qualification will be requested. You and your role As a Lead Data Scientist, you will shape analytics, insight and evidence for Working Age Services - the part of DWP that supports millions of people of working age through services such as Universal Credit, helping them access financial support, employment opportunities and essential services. You will lead and develop a high-performing team, applying advanced analytical and data science methods. You will align your team's work with the DWP Data and AI strategies, ensuring effective use of central platforms, standards and capabilities. You will be accountable for the quality and impact of analytical outputs - from experimentation and evaluation approaches through to reporting and machine learning applications - ensuring they drive measurable improvements for citizens and DWP colleagues. Working closely with senior stakeholders across digital, operations and policy, you will influence how performance is measured, improve data quality, and embed a stronger culture of evidence-based decision-making. You will also set the standard for responsible data science - maintaining robust governance around privacy, security and data protection, and proactively addressing ethical considerations such as bias. As a senior leader in the profession, you will contribute to building an inclusive, high-performing community by supporting recruitment, developing talent, and helping shape the wider Digital Practice. Please note that the role may involve travel to other digital hubs, with frequency discussed if you are successful. Details. Wages. Perks. Location: You'll join us in one of our brilliant digital hubs in Leeds, Manchester, Newcastle or Sheffield. Hybrid Working: We work a hybrid model - you'll spend some time working at home and some time collaborating face to face in a hub. Pay: We offer competitive pay of up to £92,522. Pension: You'll get a brilliant civil service pension with employer contributions worth 28.97%, worth up to £23,253 per year. Holidays: A generous leave package starting at 26 days rising to 31 days over time. You can also take up to 3 extra days off a month on flexi-time. You'll also get all the usual public holidays. We have a broad benefits package built around your work-life balance which includes: • Flexible working including flexible hours and flex-friendly policies, • Time off volunteering and charitable giving, • Bring your authentic self to work with 'I Can Be Me in DWP', • Discounts and savings on shopping, fun days out and more, • Interest-free loans to buy a bike or a season ticket, so it's even easier for you to get to work and start making a difference, • Sports and social activities, • Professional development, coaching, mentoring and career progression opportunities. And we have an award-winning environment and culture: • DWP have been recognised as 2024 Diversity Employer of the Year at the Computing Women in Tech Excellence awards, • Diverse and Inclusive Leadership at Digital Leaders Awards 2024, • Commended as Best Place to Work in Digital category in the Computing Digital Technology Leaders awards 2025, • Recognised as one of the Best Public Sector Employers at 2025 Women In Tech Employer Awards Process: We know your time is valuable so our application and selection process is just two stages: • Apply: complete your application on Civil Service Jobs. There'll be full instructions when you click through., • Interview: a single stage interview online. CLICK APPLY for more information and to start your application. JTRA1_UKTJ

As a Senior Machine Learning QA Engineer in the Research Enablement team, you will work side-\u2011by-\u2011side with researchers, Machine Learning Engineers and software engineers to define and uphold quality standards for ML systems. Passion for learning new technologies and improving existing sys

This is a contract position located in Sheffield, England. As part of continued investment in AI and advanced engineering, we are seeking an experienced Machine Learning Developer (AI Engineer) to support key AI‑driven initiatives.

Data Scientist Placement Programme - No Experience Required Our training will help you kick-start a new career as a Data Scientist. We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee within 20 miles of your location upon completion. Whether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you. The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months: Step 1 - Full Data Science Career Training You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI, and much more. You will also complete mini projects to gain practical experience and test your skills while you study. This step will fully prepare you for the professional projects that you will undertake in step 4 of this process. At the end of this step, you will complete a short online multiple-choice exam to showcase your understanding of the courses before moving on to step 2. Step 2 - CompTIA Data+ CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. It teaches Data Mining, Visualization, Data Governance & Data Analytics. In any industry, gaining official certifications is very important in the recruitment process. Therefore, this globally recognized certification will enhance your CV and make you stand out from the crowd. Step 3 - Official Exam The CompTIA Data+ exam will certify that you have knowledge and skills required to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analysing complex datasets while adhering to governance and quality standards. The exam is 90 minutes long and can be sat either in your local testing centre or online. Step 4 - Practical Projects Now that you have completed your theory training and official exams, you will be assigned 2 practical projects by your tutor. The projects are the most important part of the traineeship as it will showcase to employers that you have skills required to work in a data science role. The projects will use real world scenarios where you be utilising all of the skill that you have learned. Whilst you are progressing through the projects, you will have the ongoing support from your personal tutor. Once both projects have been completed and given the final sign off, you will have completed the traineeship and will be ready to move onto the recruitment stage. Your Data Science Role Once you have completed all of the mandatory training, which includes the online courses, practical projects and building your own portfolio, we will place you into a Data Scientist role, where you will be guaranteed a great starting salary. We have partnered with a number of large organisations strategically located throughout the UK, providing a nationwide reach of jobs for our candidates. At a one off cost of £1495, or a deposit of £212 followed by 10 interest free monthly instalments of £148, this represents a great opportunity to start a rewarding career in IT and have a real career ladder to start climbing. If you are not offered a role at the end of the training we will refund 100% of your course fees. Read through the information? Passionate about starting a career in data science? Apply now and one of our friendly advisors will be in touch. ‘Please note that this is a training course and fees apply

Trainee AI Engineer - No Experience Needed! Ready to launch a future-proof career in AI - even if you have zero experience? We’re looking for ambitious individuals ready to break into the world of artificial intelligence and data science. Our industry-leading AI Traineeship is designed to take you from complete beginner to a highly employable Junior AI Engineer, with full training provided and a guaranteed job offer (£25K-£45K starting salary) within 20 miles of your location. Whether you're working full-time, part-time, or currently unemployed, our flexible, self-paced program allows you to train around your lifestyle and be job-ready in as little as 6-12 months. How it works - your journey to AI success Step 1: Discover AI Start your journey with our beginner-friendly mini-course bundle. Explore the fundamentals of AI through interactive videos, presentations, and quizzes - all accessible anytime, anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build confidence and a strong portfolio as you learn. Step 3: Get Certified Prepare for and earn your Microsoft AI-900: Azure AI Fundamentals certification, an internationally recognised qualification that proves your knowledge and boosts your credibility with employers. Step 4: Real-World Projects Showcase your new skills with two industry-based, practical projects assigned by your personal tutor. These projects are designed to give you real, portfolio-worthy experience, making you stand out to employers from day one. Your guaranteed future After completing your training, you'll be placed in a Junior AI Engineer role with a guaranteed starting salary of £25K-£45K. We work with top employers across the UK to ensure you get matched with a role close to home. We guarantee a job offer upon completion or 100% of your course fees refunded. We’re proud to have helped over 1,000 people each year transform their careers. Explore our success stories on our website and see what your future could look like. At a one off cost of £990, or a deposit of £149 followed by 10 interest free monthly instalments of £124, this represents a great opportunity to start a rewarding career in Ai and have a real career ladder to start climbing. If you are not offered a role at the end of the training we will refund 100% of your course fees. Ready to future-proof your career? If you’re passionate about tech and ready to break into one of the fastest-growing industries in the world, apply now. One of our friendly advisors will be in touch to guide you through the next steps. ‘Please note that this is a training course and fees apply

In this role, you will formulate, train and deploy machine learning models for robotic systems that perceive the world through vision and sensors, learn structured representation in data, and operate reliably in real‑world industrial environments. Strong background in deep learning (computer visio

Junior Data Scientist: Machine Learning & Python Specialist with SQL🐍.

We’re Hiring | Machine Learning Engineer | Immediate Joiners Preferred. Are you passionate about AI, Machine Learning, and solving real-world problems using data? Join our growing team and work on exciting, high-impact projects with modern technologies in a collaborative environment. Develop, trai

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