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SENIOR ML ENGINEER / LONDON / £120,000 BASE SALARY Want to be hands-on with AI, working on greenfield projects for a growing business in the FinTech space? I'm looking for an experienced Machine Learning Engineer to join a growing business who are going more AI-focused. The business have gone through a recent funding round and are showing no signs of slowing down. You'll feel the AI team grow around you and have a say in the direction they move in. What's in it for you? • £120,000 base salary, • 25 days holiday plus bank holiday, • Flexible, hybrid working from central London, • And much more What do we need from you? • PyTorch, Python, understanding of the machine learning ecosystem, • AWS, • ETL processes, • Good understanding of vector databases (they use open search), • Proven experience using LLMs through APIs Sound like you? No CV is needed at this stage - we can cross that bridge later. Simply press the 'Easy Apply' button at the top of this page with your LinkedIn profile. Good luck! Please note, only UK-based candidates will be considered.

Colibri Digital is a specialist engineering consultancy delivering advanced data and AI solutions for clients across sectors including finance, healthcare, logistics, government, and technology. As trusted partners of AWS and Databricks, we help organisations design, build, and scale intelligent systems that deliver measurable business outcomes. We lead from the front in Generative and Applied AI adoption — guiding clients from uncertainty to confident, delivering production-grade AI implementation. The Role We’re looking for a Principal Applied AI Engineer to shape and build AI systems that make a tangible impact. You’ll work closely with clients and cross-functional teams to design and deliver scalable, production-ready AI capabilities — from intelligent automation to generative applications. This role is ideal for someone who thrives in ambiguity, mentors others with confidence, and enjoys bridging design, engineering, and delivery. Key Responsibilities: • Lead technical discovery and delivery for AI engineering engagements, taking clients from concept to production., • Design, build and deploy applied AI systems that integrate seamlessly with existing software and data platforms., • Develop and maintain backend systems, APIs, and frontends in alignment with software engineering best practices., • Mentor and develop engineers (both within Colibri and client teams), building capability and confidence., • Define and uphold best practices in AI engineering, including robust architecture, testing, and deployment., • Partner with data scientists, product managers, and delivery leads to ensure AI solutions are practical, ethical, and aligned with business outcomes., • Contribute to Colibri’s internal capability development; shaping frameworks, patterns, building reusable code repositories or other assets and thought leadership in applied AI., • Represent Colibri as a trusted technical advisor, communicating complex AI concepts clearly to non-technical audiences. Skills, Knowledge and Expertise: • Proven experience in a senior or principal engineering role within an AI technology consultancy or AI-driven product organisation, delivering AI models, systems and products to production., • Strong foundation in software engineering with hands-on experience building and deploying production-grade AI or ML-enabled systems., • Deep understanding of modern cloud and MLOps environments (AWS, Azure, GCP; MLflow, SageMaker, or equivalent)., • Proficiency in at least one major programming language (Python preferred) and modern software delivery practices (CI/CD, containers, orchestration)., • Experience mentoring engineers and guiding clients through AI adoption and delivery., • Excellent communication and stakeholder management skills, able to lead with empathy and clarity in complex client environments Desirable: • Experience integrating Generative AI, retrieval-augmented generation (RAG), or similar architectures into production systems., • Strong background in consultancy, digital transformation, or multi-industry project delivery., • Contributions to open-source projects or AI engineering communities. What you can expect from us: • Remote-first working with flexibility around client needs., • Private health insurance, • Projects with global brands & public sector leaders, working on real-world impact, • A collaborative culture of excellence and continuous improvement, • Competitive salary, bonus structure, and long-term growth opportunities

This is a rare opportunity to join at the start of something big. The excitement of a startup with the security of a big, established company. We are helping a large UK-owned software group to build and scale a world-class, AI-first engineering organisation in Manchester. They have very ambitious plans and the budget to make it happen. As Engineering Manager, you will manage high-performing squads, drive technical excellence, and shape modern development practices. You’ll combine leadership with hands-on technical oversight, ensuring secure, scalable solutions while championing AI-driven workflows and continuous improvement across multiple greenfield projects. What we’re looking for: • Proven experience managing multiple engineering teams, • Experience in fintech, payments, or other regulated environments., • Strong background as a software engineer with architectural expertise, • Knowledge of secure SDLC, QA automation, DevOps pipelines, and cloud-native development (AWS/Azure/GCP), • Ability to lead delivery across several workstreams, • Excellent communication and stakeholder management skills, • An advocate of AI-assisted development Benefits include an industry-leading benefits package, with hybrid working in their central Manchester office. Apply now to avoid disappointment. Please note: Visa sponsorship is not available. Applicants must have the right to work in the UK indefinitely. Tilo Consulting values diversity and welcomes applicants from all backgrounds.

Opentext - The Information Company OpenText is a global leader in information management, where innovation, creativity, and collaboration are the key components of our corporate culture. As a member of our team, you will have the opportunity to partner with the most highly regarded companies in the world, tackle complex issues, and contribute to projects that shape the future of digital transformation. AI-First. Future-Driven. Human-Centered. At OpenText, AI is at the heart of everything we do—powering innovation, transforming work, and empowering digital knowledge workers. We're hiring talent AI can't replace to help us shape the future of information management. Join us. Come and join our Engineering team based in our Cambridge office with your commitment as a AI Software Engineer YOUR IMPACT The AI Data Platform unit of OpenText is a world-leader in the development of AI and analytics software solutions and is powered by a top-class team of software engineers and researchers. Within that, the Rich Media processing team is at the cutting edge of research into AI solutions for the processing and analysis of audio, video, and image, and consists of engineers with specialist knowledge in the field. What The Role Offers • Contributing to a range of projects - from software development to algorithmic research, • Working as part of a team or on individual projects, • Extensive training in top-level software development and AI, • Hands-on access to the latest AI development tools, • Collaboration with highly skilled teams, • A top-class degree in a technical field (e.g., Computer Science, Mathematics, Engineering, Natural Sciences) from an internationally renowned university with a solid grounding in mathematics, • Experience of programming, with C or C++ of particular interest, • Skills in algorithmic understanding, • Experience in AI and machine learning will prove useful

We’re hiring a Senior Go Platform Engineer to help build and scale a next-generation agentic data analytics platform used by medium to enterprise teams. Business data is critical - but getting answers from it is still slow, complex, and overly technical. We’re building an AI-native platform that lets anyone ask natural-language questions of their business data and receive precise, secure answers in seconds. This is an opportunity to join an early-stage, high-calibre engineering team, working at the intersection of distributed systems, data infrastructure, and applied AI. This role will be in the office in a Central London location. What you’ll be working on • Building and scaling core data integrations with common SaaS platforms, • Designing data ingestion pipelines and analytics storage layers, • Productionising the agent execution platform — improving reliability, observability, and performance, • Improving developer experience, tooling, and internal platform abstractions, • Working closely with AI systems (LLMs), including prompt and system design to enable accurate, efficient answers Backend stack • Go, • Postgres, • Terraform (IaC), • Cloud-native infrastructure and event-driven systems Nice to have • Experience building products from zero to one (including side projects or OSS), • Data engineering or analytics experience, • Experience integrating or working closely with LLMs, • Strong cloud experience (GCP a plus), • Comfort designing and documenting system architecture How we work • High ownership - you’ll take ideas from rough outline to production, • Execution-first - speed matters, with pragmatic trade-offs, • Iterative and customer-driven - learning beats perfection, • Low-ego, high-trust engineering culture, • Comfortable working async and figuring things out independently, • AI-native development - modern tools are part of the workflow, not an afterthought

We are using AI to accelerate due diligence and deepen insights for Private Equity funds. We are hiring a full stack engineer who is comfortable contributing to all layers of the application and developing features end to end. About Capsa AI Empowering Private Equity with Advanced AI – Capsa AI is an operating system that aggregates, structures, and generates insights from company and market data. Our AI solutions reduce time spent on mechanical tasks and increase returns by analysing vast amounts of data to provide clear, actionable insights. Our vision is to become the leading AI platform for private capital funds, transforming how private investments are analysed and managed. Our Team and Progress Our founding team has deep domain expertise in Private Equity and AI. Our CEO, Danyal, has over 6 years of experience in Private Equity and Investment Banking at blue-chip financial institutions such as AEA Investors, Citigroup, and Deutsche Bank. Our CTO, Callum, has over 6 years of experience in Machine Learning and AI, having worked at leading defense companies like QinetiQ and retail tech startups such as Standard AI. The entire team are early stage startup veterans, with a passion for building great products. Just one year after our December 2023 founding, we are already generating revenue, serving top-tier PE funds managing over £30 billion across the US, UK, and Germany. Furthermore, we’ve raised over £1.8 million in funding from prominent fintech venture capitalists and private equity angels, underscoring the confidence of industry leaders in our vision and potential. Our Philosophy • Small team: Small talented teams outperform large and slow-moving companies. We avoid bureaucracy, keep meetings to a minimum and focus on creating value., • Simple where possible: We are passionate about new technology (in particular Machine Learning and AI), but we are more passionate about solving problems for our customers. We strive to find the best solution, be it cutting-edge or old-school., • Customer obsessed: We take every opportunity to talk to our customers. We obsess over their problems and work every day to make them happy. About the Role We are looking for a full stack engineer who wants to help shape the future of private equity and our company. As an early stage engineer you will: • Work directly with our founding team., • Help design our application architecture., • Ship features that our users care about, wherever they are in the stack., • Participate in strategy and product ideation sessions, influencing our product roadmap. Working at Capsa AI will be hard work, it will be messy and at times it will be stressful. However, you will: • Experience the process of taking the company from 0.5 to 1., • Shape the company's vision and will have a direct impact on its success., • Have the opportunity for fast career growth., • Have the opportunity to participate in the upside of an ultra-growth venture., • Have fun 🙂 Apply if: • You have experience with our stack: Python, FastAPI, Postgres, SQLAlchemy, Alembic, Typescript, React, LlamaIndex / LangChain, PyTorch, HuggingFace, OpenAI, Docker, Azure,, • You have taken entire products or features from ideation to deployment and you’ve measured their impact., • You enjoy diving deep into the domain, understanding the problem, and focusing on delivering value to the customer., • You thrive in a fast paced environment., • You like to take ownership and work independently., • You are excited about joining an early-stage venture. Don’t apply if: • You want to work on a single layer of the application., • You prefer to work on well-defined problems., • You need clear, pre-defined processes., • You prefer a low-pressure environment. Company Benefits • Private healthcare insurance., • One month per year remote working., • Budget for setting up your Home-Office. Interview Process 1. 25 minute call with Callum (video call), 2. Coding Session (video call), 3. Systems Design Session (video call), 4. Meet the team (in-person)

Senior Full Stack Engineer (React, Typescript, Node, AWS) HealthTech, up to £90k London (once or twice per fortnight in office) Troi Search are delighted to be partnering once again with this innovative & mission driven HealthTech client. We’re now looking for a Senior Full Stack Engineer who enjoys balancing hands-on coding with architectural thinking. You’ll build scalable, secure, cloud-native products used in real clinical environments, and collaborate closely with product and design to turn complex problems into elegant solutions. What you’ll do • Build and scale full-stack features using TypeScript, Node.js, and React, • Design reliable, observable systems running in the cloud (AWS), • Champion CI/CD, automated testing, and zero-downtime deployments, • Mentor engineers and raise engineering standards, • Experiment with emerging tech like AI, computer vision, and advanced analytics What we’re looking for • 5+ years building SaaS or enterprise software, • Strong experience with React, Typescript, Node & AWS Technologies, • Solid cloud and DevOps knowledge, • Comfort working in data-sensitive or regulated environments, • A pragmatic mindset with a bias for delivery Why join • Build technology that genuinely impacts patient care, • High ownership, low bureaucracy, real influence, • Salary up to £90k, Flexible working, strong benefits package plus a learning budget Sound like you? Apply now!

Engineer the future of global finance. At Citi, our Tech team doesn’t just support finance – we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech. The Global Custody Production Support Lead will be responsible for providing Strategic Leadership in developing and executing a global production support strategy aligned with business goals and regulatory requirements. They will be leading the ongoing business critical initiatives such as Single event processing migrations, Move to common initiatives and Custody Digital Ledger program enabling the way to custody Digital assets product launch in 2026. Operational responsibilities will include; • Overseeing the incident management process, ensuring timely resolution of production issues, and conducting thorough root cause analysis to prevent recurrence, • Proactively identifying and addressing potential problems before they impact production. This involves monitoring system performance, analyzing trends, and implementing preventative measures., • Extensive, relevant industry experience., • Proven leadership managing and influencing global teams, direct, matrix and stakeholders., • Strong track record in crisis management and leading responses to disruptive events., • Demonstrated success driving results and continuous improvement in production, • Experienced with organizational transformation., • Exceptional stakeholder and relationship management capabilities., • Experience with financial planning and cost discipline, • Exceptional staff engagement and talent development skills, • 27 days annual leave (plus bank holidays), • A discretional annual performance related bonus, • Private Medical Care & Life Insurance, • Employee Assistance Program, • Pension Plan, • Paid Parental Leave, • Special discounts for employees, family, and friends Job Family Group: Technology Job Family: Applications Support Time Type: Full time Most Relevant Skills Please see the requirements listed above. Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

About the Role Join a mission-critical team within our firm’s cutting-edge platform engineering function, supporting platform for front-office developers (quants and strategists). This is a unique opportunity to remain hands-on in engineering while also leading a focused, high-impact team. You’ll be at the forefront of data and cloud-native engineering, working with modern technologies across AWS, On-premise kubernetes, Python, and data pipelines, while engaging directly with key internal platforms and front-office business developers. If you are passionate about solving hard technical problems, staying current with trends like AI Engineering, and want to make a difference in a globally respected financial institution, this role is for you. The successful Senior AWS Data Engineer candidate will have the chance to make a significant impact in designing the platform and working on cutting-edge technologies like Databricks and Snowflake in the heart of a leading global Investment Banks’ front-office. This is a rare greenfield role that offers the opportunity to solve the ultimate data pipeline challenge faced by all banks, working closely with various businesses and gaining an overview of many different sectors. What We’re Looking For • 10 + years, hands-on experience in AWS data engineering technologies, including Glue, PySpark, Athena, Iceberg, Databricks, Lake Formation, and other standard data engineering tools., • Strong experience engineering in a front-office/capital markets environment., • Previous experience in implementing best practices for data engineering, including data governance, data quality, and data security., • Proficiency in data processing and analysis using Python and SQL., • Experience with data governance, data quality, and data security best practices., • Strong knowledge of market data and its applications., • Understanding of Generative AI concepts, along with hands-on experience in developing and deploying AI applications in real-world environments. Leadership Responsibilities • To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures., • Lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements., • Demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard., • Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment., • Manage and mitigate risks through assessment, in support of the control and governance agenda., • Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business. Nice to Have • Experience with other data engineering tools and technologies., • Knowledge of Machine Learning / AI and data science concepts. Accountabilities • To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure., • Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data., • Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures., • Development of processing and analysis algorithms fit for the intended data complexity and volumes., • Collaboration with data scientist to build and deploy machine learning models.

JOB TITLE: Software Engineer SALARY: £70,929 - £78,810 LOCATION(S): Bristol HOURS: Full-time - 35 hours per week WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at our Bristol office. About this opportunity At Lloyds Banking Group we're building a bank for the future, and we need your help. Lloyds Banking Group is the UK's leading digital franchise, with over 13 million active online customers across our three main brands; Lloyds Bank, Halifax and Bank of Scotland. Our technology, our culture, and our mind-set is changing to craft a truly engineering-led organisation. In Analytics & AI, our mission is to automate routine tasks while improving our understanding to deliver a seamless experience for our customers and colleagues. In the Natural Language Engineering Lab, we strive to develop innovative solutions for building and improving Conversational Memory. Our goal is to enable AI agents to interact with customers as effectively as experienced human financial and banking experts. We're a diverse group of people, including data scientists, data engineers, machine learning engineers, software engineers, product owners, DevOps specialists, and many more. We come from a variety of backgrounds across the globe, but we all share a vision of the untapped potential of human and machine intelligence! Our Conversation Memory Platform is leading the way in our efforts to use innovative technology to help Britain prosper. We're currently leveraging the power of Natural Language Processing to analyse unstructured data and are seeking a dedicated individual to help us unlock its potential. We're looking for an experienced and passionate Software Engineer to work on our Conversation Memory Platform. The ideal candidate will have a solid track record with demonstrable experience as a software engineer working as part of a team to build performant and maintainable cloud solutions. The candidate will also have a passion for technology and a commitment to delivering high-quality, scalable solutions. What you'll do * Design, develop, test, deploy, maintain, and enhance our Conversation Memory Platform * Lead the delivery of features, from prototype to production, ensuring they are well tested, secure, and meet our engineering standards. * Provide leadership, education and mentoring to support engineers and drive upskilling. * Lead system design work, collaborating with colleagues from across the business, including Senior Management and other Subject Matter Experts. * Shape the product roadmap to ensure we're delivering the right features for our customers. Who are we looking for * Someone who thinks of the big picture! Always considering how our products & service can support the business, quick to identify new opportunities. * With a passion for technology and commitment to delivering high-quality, maintainable solutions that work for the group today and into the future * Someone with a highly collaborative approach, working closely with other specialists and engineers from LBG, suppliers and partner resources * You'll be comfortable mentoring more junior colleagues, encouraging and supporting their technical development Why Lloyds Banking Group We're on an exciting journey to transform our Group and the way we're shaping finance for good. We're focusing on the future, investing in our technologies, workplaces, and colleagues to make our Group a great place for everyone. Including you! What you'll need * Extensive experience of at least one high-level programming language, preferably Python * Significant experience building solutions following Infrastructure as Code best practices employing Terraform * Extensive experience building and consuming RESTful APIs * Experience using Relational and Analytical databases * Extensive experience of highly efficient and scalable ETL pipelines, ideally including Airflow and Dataflow on GCP * Quality is part of everything that you do, including robust test and release automation * Proactively removes bottlenecks, toil and repetitive work affecting developer velocity It would be great if you also had * Hands-on experience building solutions for the public cloud (GCP) * Passionate about building the best possible developer experience for our engineers * Experience working with and building CI/CD pipelines * Detailed understanding of Apache Beam and Pub/Sub or the streaming paradigm in general About working for us Our ambition is to be the leading UK business for diversity, equity and inclusion supporting our customers, colleagues and communities, and we're committed to creating an environment in which everyone can thrive, learn and develop. We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer Initiative. We offer reasonable workplace adjustments for colleagues with disabilities, including flexibility in office attendance, location and working patterns. And, as a Disability Confident Leader, we guarantee interviews for a fair and proportionate number of applicants who meet the minimum criteria for the role with a disability, long-term health or neurodivergent condition through the Disability Confident Scheme. We provide reasonable adjustments throughout the recruitment process to reduce or remove barriers. Just let us know what you need. We also offer a wide-ranging benefits package, which includes: * A generous pension contribution of up to 15% * An annual performance-related bonus * Share schemes including free shares * Benefits you can adapt to your lifestyle, such as discounted shopping * 30 days' holiday, with bank holidays on top * A range of wellbeing initiatives and generous parental leave policies

WE ARE SoftServe isn’t just about technology - it’s about open-minded people who love technology and have everything they need to pursue their passion for creating innovation. SoftServe is a global digital services and consulting company founded in 1993, working on more than 2,000 projects with clients across the USA, Europe and LATAM regions. With over 30 years of experience in digital software development and consulting, SoftServe helps organisations solve complex business challenges, create industry-disrupting technology, and accelerate growth and innovation while optimising operational efficiency. Our Critical Services Centre of Excellence (CoE) brings together security, cloud, and AI experts to design and deliver secure, scalable, and resilient systems for enterprise and government clients. We work across multiple domains - from data privacy and cloud security to AI assurance - ensuring that every solution meets the highest standards of compliance, reliability, and trust. We are now inviting a Security Architect to join our UK-based team, contributing to large-scale digital transformation programmes that handle sensitive personal and medical data, integrating AI responsibly and securely across hybrid environments. IF YOU ARE • An experienced Security Architect or Security Lead with 8+ years of experience designing secure systems in large, complex, or regulated environments, • Proficient in cloud security architecture across AWS, Azure, and GCP, with expertise in IAM, key management, data encryption, and network segmentation, • Skilled in securing AI/ML workloads and data pipelines, ensuring the AI systems have controlled, auditable, and principle-based access to sensitive information, • Experienced with hybrid architectures integrating on-premises, legacy, and multi-cloud systems, maintaining security consistency and compliance, • Knowledgeable in security standards and frameworks, such as ISO 27001, NIST CSF, SOC 2, CIS Benchmarks, GDPR, and NHS DSPT, • Familiar with AI security and data governance principles, including data minimisation, secure model access, and AI transparency requirements, • Experienced in intrusion detection and prevention systems (IDS/IPS), vulnerability scanning, endpoint protection, and security incident management, • Skilled in designing network and application security controls, including WAFs, firewalls, zero-trust models, and identity federation mechanisms, • Able to perform threat modelling, risk assessments, and security posture reviews for cloud-native and AI-based architectures, • Competent in automating security controls and monitoring using Infrastructure-as-Code (IaC) tools such as Terraform, AWS Config, or Azure Policy, • Confident in data classification, encryption key management, and compliance auditing for highly sensitive or personal data (including health data), • Experienced in presenting and defending architectural decisions to government security panels, assurance boards, and technical governance groups, • A strong communicator and collaborator, able to engage effectively with stakeholders, engineers, and external security authorities, • Possessing a security or cloud certification (e.g. CISSP, CCSP, AWS Security Specialty, or Azure Security Engineer) — highly desirable AND YOU WANT TO • Design and lead the implementation of secure architectures for AI-enabled digital services that manage sensitive personal and medical information, • Define security frameworks and controls that protect data while enabling AI systems to operate efficiently and responsibly, • Architect cloud-first, compliant solutions that meet stringent government and industry security requirements, • Develop security-by-design principles and embed them into every stage of the engineering lifecycle — from design to deployment, • Work closely with Technical Architects, ML Engineers, and DevOps teams to ensure end-to-end protection of data and systems, • Implement proactive security monitoring, incident response, and resilience strategies, protecting infrastructure from potential threats and attacks, • Conduct security assessments, penetration testing, and continuous compliance validation across cloud and hybrid environments, • Support security reviews and presentations with government bodies and independent security assessors to gain approval for system designs, • Drive a culture of responsible AI and data governance, ensuring that systems operate safely, transparently, and ethically, • Lead efforts in automating compliance and continuous security improvement, using modern DevSecOps practices and tooling TOGETHER WE WILL • Deliver secure and trustworthy AI-powered systems that meet the highest standards of privacy, compliance, and performance, • Collaborate with world-leading engineers, architects, and cybersecurity experts to design solutions that protect people and data, • Work across diverse industries and government organisations, tackling high-impact security challenges in complex environments, • Contribute to security innovation initiatives, from AI safety frameworks to advanced monitoring and intrusion prevention techniques, • Access SoftServe University and Udemy Business, with over 11,000 learning opportunities to advance your technical and professional skills, • Grow your career through SoftServe’s People Excellence Programme, supported by mentorship and continuous learning paths SoftServe is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, age, sex, nationality, disability, sexual orientation, gender identity and expression, veteran status, and other protected characteristics under applicable law. Let’s put your talents and experience in motion with SoftServe.

Join Our Team as a Senior Supplier Quality Engineer! Are you ready to take your career to the next level? Bentley Motors, an industry-leading organisation in the automotive sector seeking a dynamic and experienced Senior Supplier Quality Engineer to join their team! This exciting opportunity offers a hybrid work model and the chance to make a significant impact in the automotive industry. Position Details: • Contract Duration: Until 31/08/2026 (with potential for extension), • Hours: 37 hours per week, • Work Model: Hybrid (3 days onsite, flexible based on business needs), • Pay Rates: PAYE: £34.85, LTD: £41.88, • Travel: International/UK travel may be required, • License: A Full UK Driving License is essential Main Goals and Objectives: As a Senior Supplier Quality Engineer, you will be at the forefront of quality planning for priority components, ensuring they meet design specifications and are approved through the 2DP process. Your role will encompass: • Technical Support: Provide guidance on complex supplier quality issues, driving improvements to meet product quality targets., • Supplier Performance: Ensure our client has the essential information to nominate suppliers that align with VW group quality standards. Key Responsibilities: 1. Quality Planning: Deliver parts quality planning tools aligned with project gateways, including lessons learned, risk assessments, and QTR reporting., 2. Part Maturation: Manage the approval process and facilitate the Meisterbock process while resolving any supplier-related issues., 3. Quality Targets: Drive actions to achieve quality targets on vehicles, identifying risks and escalating when necessary., 4. Supplier Improvement: Monitor and enhance supplier performance, supporting the nomination process and utilizing problem-solving techniques., 5. Team Support: Act as a deputy for the Supplier Quality Manager, assisting with key deliverables and operational activities. Skills & Experience: • Significant experience in engineering across multiple commodities, or as a specialist in one., • Expertise in automotive supplier quality management, either from the supplier side or OEM., • Proven ability to manage systems and processes that enhance part quality., • Strong quality planning skills with a track record of delivering QA standards under time and cost constraints., • Advanced knowledge of quality tools (e.g., SPC, FMEA) and the ability to read technical documents., • Excellent presentation skills and the ability to influence stakeholders at all levels. Qualifications: • Bachelor's degree in an engineering field or HNC/HND with extensive relevant experience., • Associate membership of a relevant professional institution., • A valid UK driving license. If you’re passionate about quality engineering and eager to contribute to an innovative environment, we want to hear from you! Bring your expertise, enthusiasm, and problem-solving skills to our client’s team. Apply Today! Don’t miss the chance to be part of a forward-thinking organization that values quality and excellence. Submit your application now, and let’s shape the future of automotive quality together! Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention

We are looking for a skilled GenAI Engineer to build generative AI solutions on Azure Databricks. Candidates should have experience in software engineering, data science, or machine learning, and be skilled with Mosaic AI, MLFlow and rest of the Databricks ecosystem such as Genie, Databricks One, and Unity Catalog (UC) Business semantics. As part of our team, you will have the opportunity to collaborate with industry experts, contribute to innovative projects, and play a key role in shaping next-generation GenAI solutions within a dynamic and supportive environment. We value curiosity, adaptability, and a passion for leveraging cutting-edge technologies to address real-world challenges. If you thrive on solving complex problems and are eager to make a tangible impact in the rapidly evolving field of generative AI, we encourage you to apply and join us on this exciting journey. Key requirements • Design, development, and delivery of enterprise-grade analytics solutions based on Azure and Databricks technologies, • Evangelise and evolve best practices for our clients and our team including to mentor your colleagues, supporting their personal development, • Constantly developing technical skills in the latest Azure and Databricks technologies - achieving & maintaining relevant certifications, • Working directly with high profile clients across a variety of sectors to understand their requirements and present solutions to customer sponsors Job Qualifications • Proven experience with Databricks, including Unity Catalog, MLflow, Mosaic AI and Delta Live Tables., • Strong understanding of Generative AI concepts, including LLMs, RAG, embeddings, and prompt tuning., • Experience with vector databases and embedding models., • Familiarity with cloud platforms (Azure preferred) and CI/CD pipelines., • Excellent problem-solving and communication skills. 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., • Experience with LangChain, Databricks Mosaic AI, or similar frameworks., • Knowledge of data governance and security in enterprise environments., • Experience deploying GenAI solutions in production environments., • 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., • Bachelor's in computer science, data science, or a related field, • Minimum of one year of proven experience developing GenAI/Agentic AI solutions using Databricks ecosystem.

Introducing evroc At evroc, we are building a secure, sovereign, and sustainable hyperscale cloud to reimagine the digital future of Europe. By joining our company, you have an exciting opportunity to contribute to the development of next-generation cloud services. We are seeking intellectually curious and highly motivated team members who are ready to embrace the thrilling challenge of building the first European owned hyperscale cloud. Join the Pioneers As an AI Systems Engineer at evroc, you will be at the centre of developing and operating our AI platform services, providing evroc’s customers/users with a superior experience, ranging from inference-as-a-service to infrastructure for large-scale training. Working with the latest Nvidia GPU hardware and open-source AI technologies, you’ll ensure our platform is secure, resource efficient, and performant. evroc's AI services bring European sovereignty, data privacy, and sustainability to AI application developers. You will work in close collaboration with infrastructure, platform, and storage teams, across our development hubs in Stockholm, Sophia Antipolis (France), and London. What You’ll Tackle • Designing, building, and maintaining a production platform for AI inference and training, based on Kubernetes., • Implementing multi-tenancy in GPU-accelerated platforms, ensuring efficient resource sharing, workload isolation, and scheduling., • Optimizing resource utilization and performance of AI inference and training workloads., • Monitoring and metrics collection for real-time control and accounting., • Security in all aspects, from user authentication to GPU attestation. Skills We Value • Operating system fundamentals, e.g., containerization, virtualization, and device drivers, including SR-IOV and RDMA., • Operational experience with Kubernetes., • GPU low-level software stack, e.g., Nvidia CUDA, MIG, GPU Operator, DCGM, and GPU interconnect software., • AI/ML frameworks and runtimes, e.g., vLLM and PyTorch., • Distributed systems fundamentals, including networking, scheduling, and resource allocation., • Software development in programming languages such as Golang, Rust, and Python., • Security technologies, e.g. TPM, TEE, and Confidential Computing., • Strong problem-solving and communication skills to effectively address complex platform engineering challenges. Please note you do not need to have experience with all of the technologies listed above to apply. If your background is in back-end development and distributed systems, and you are passionate about building a better cloud, we'd love to hear from you. We offer a competitive salary and an equity package to attract the best. Whether it’s the cosmopolitan allure of London, the vibrant Stockholm, or the Mediterranean charm of Sophia Antipolis, you’re poised for an inspiring work environment and a captivating local culture! At evroc, diversity is our strength. We champion an inclusive environment where every background - ethnicity, age, gender identity, beliefs, and culture - is celebrated. Applicants must possess a valid work permit.

Senior Engineer: Pioneering the Next Generation of Financial Technology Our client, a disruptive technology firm, is seeking a Senior Engineer to join their mission to fundamentally revolutionize the global banking industry. They are developing the world’s first truly autonomous and composable technology platform designed for the operational scale of Tier-1 financial institutions. This modern, AI-centric architecture is replacing outdated, monolithic systems with an elegant, highly performant core that redefines how the largest banks worldwide manage their operations. 📍Location: Central London - fully on site Why This Role? This is an opportunity for an engineer who thrives on tackling complex distributed systems and writing mission-critical code. The client's vision is to introduce simplicity, openness, and modular design into a massive, heavily regulated sector. 🚩 What They Are Looking For The ideal candidate is a proactive, resourceful, and technically excellent system builder: • Systems Engineering Prowess: Golang, • Technological Flexibility: A natural ability to seamlessly transition between high-level architectural design, coding, testing, and operational (DevOps) tasks., • Distributed Systems Depth: Extensive understanding of concurrent processing, asynchronous messaging, and operating across multi-region database setups., • Compliance Awareness: Familiarity with secure development practices, especially within highly regulated environments., • High Autonomy: Thrives with independence, proactively solving complex problems, and skillfully managing prioritization., • AI Integration: Experience or passion for leveraging advanced AI tools to enhance development workflow. 📌Key Responsibilities • Accelerating Product Development: Spearheading the construction of initial product versions and Minimum Viable Products (MVPs) for major financial clients., • Architectural Stewardship: Making pivotal decisions on core architecture, infrastructure choices, and development tooling., • Building Foundational Primitives: Designing the core financial components required to manage advanced Tier-1 banking processes., • Infrastructure Excellence: Contributing to the deployment of multi-region active-active configurations using modern technologies like event streaming platforms, distributed caching (Redis), and container orchestration (Kubernetes)., • Automation Leadership: Driving "everything-as-code" principles, including automated policy definitions and AI-generated operational guides and runbooks., • Agent-First Automation: Building autonomous operational capabilities, including intelligent incident response, anomaly detection, and automated policy management. If this sounds like the right challenge for you, please apply and let's talk 😊

Are you ready to write your next chapter? Make your mark at one of the biggest names in payments. We’re looking for a Sr. Director, Head of Mainframe to join our ever-evolving Infrastructure team and help us unleash the potential of every business. What you’ll own as the Sr. Director, Head of Mainframe This technical leader is responsible for the architecture, engineering, resilience, and operational excellence of the enterprise IBM mainframe and HPE Non-Stop ecosystem that power our authorizations platforms in North America and Europe. This role oversees high-availability IBM Z and HPE Non-Stop platforms supporting mission-critical workloads. The role is responsible for driving modernization across z/OS, middleware, storage, automation, and integration layers. The senior leader provides technical subject matter expertise while guiding a team of senior system programmers, engineers, and reliability specialists that deliver critical payment services to Worldpay. Architecture & Engineering Leadership • Own the technical architecture for z/OS infrastructure, Sysplex design, WLM policies, and enterprise capacity strategies., • Lead engineering initiatives across subsystems (CICS, Db2, IMS, MQ, VTAM/Enterprise Extender, JES2/3)., • Drive modernization efforts: API enablement (z/OS Connect EE), DevOps integration, Ansible automation, container extensions, and hybrid cloud connectivity., • Serve as the highest-level escalation for performance anomalies, IPL issues, contention, Sysplex coupling facility (CF) tuning, and system dumps., • Oversee RMF/SMF analysis and implement performance improvements for CPU, I/O, memory, and CF structures., • Ensure optimal configuration of z/OS 3.x-level features including security, resiliency, and AI-assisted workload optimization., • Lead capacity planning across CPU, CF, DASD, tape virtualization, and network layers., • Optimize MLC/MSU usage through WLM tuning, workload shaping, and vendor negotiation strategies., • Guide transformation initiatives to expose mainframe assets through REST APIs, message queues, and event-driven architectures., • Drive Git, CI/CD, and automated deployment integration for mainframe code pipelines., • Lead and mentor senior systems programmers, automation engineers, and platform architects., • Partner with enterprise architecture, cybersecurity, application development, and cloud teams on cross-platform solutions., • 15+ years hands-on mainframe infrastructure experience, with 10+ years in leadership roles., • Mastery of z/OS internals (storage management, dispatching, catalog structure, UNIX System Services)., • Deep experience with sysplex configuration, CF structure tuning, XCF, WLM, HCD/IODF, and I/O subsystem design., • Expert-level knowledge of at least two major subsystems: CICS TS, Db2, IMS, MQ, JES2/3., • Strong background in RACF administration, ICSF, cryptographic hardware, and enterprise security frameworks., • Experience with multi-site GDPS architectures or similar HA/DR frameworks., • Hands-on experience with z/OSMF, Ansible for Z, and automated provisioning frameworks., • Background in capacity planning and MLC optimization., • Familiarity with container frameworks (zCX, Linux on Z) or virtualization (z/VM)., • Industry certifications (IBM Z Specialist, ITIL, CISSP, or equivalent)., • Experience delivering programs in highly regulated industries, such as financial services or payments., • Hands-on involvement in discovery, planning and lift-and-shift execution with third-party migration vendors. #pridepass

Company Description MillionLogics, a trusted Oracle Partner, is a global IT solutions provider with a strong presence in London, UK, and a dynamic development hub in Hyderabad, India. Our mission is to empower businesses through innovative Data & AI services, seamless Cloud solutions, IT consulting, and enterprise application optimisation, with a focus on Oracle technologies. With a team of 40+ Oracle experts, we deliver tailored, outcomes-driven solutions to meet diverse client needs. At MillionLogics, we prioritize user-focused digital transformation, driving innovation and excellence to unlock business potential. Role Description This is a remote, contract role for an LLM Engineer to lead cross-functional teams building and deploying cutting-edge LLM and ML systems. In this role, you’ll drive the full lifecycle of AI development - from research and large-scale model training to production deployment - while mentoring top engineers and collaborating closely with research and infrastructure leaders. You’ll combine technical depth in deep learning and MLOps with leadership in execution and strategy, ensuring that Turing’s AI initiatives deliver reliable, high-performance systems that translate research breakthroughs into measurable business impact. This position is ideal for leaders who are still comfortable coding, optimising large-scale training pipelines, and navigating the intersection of research, engineering, and product delivery. Workpermit: Any valid work permit/dependent visa/ILR/British National. Day Rate: £300 (Including VAT), Outside IR35 Roles & Responsibilities • Lead and mentor a cross-functional team of ML engineers, data scientists, and MLOps professionals., • Oversee the full lifecycle of LLM and ML projects - from data collection to training, evaluation, and deployment., • Collaborate with Research, Product, and Infrastructure teams to define goals, milestones, and success metrics., • Provide technical direction on large-scale model training, fine-tuning, and distributed systems design., • Implement best practices in MLOps, model governance, experiment tracking, and CI/CD for ML., • Manage compute resources, budgets, and ensure compliance with data security and responsible AI standards., • Communicate progress, risks, and results to stakeholders and executives effectively. Required Skills & Qualifications • 9+ yrs of strong background in Machine Learning, NLP, and modern deep learning architectures (Transformers, LLMs)., • Hands-on experience with frameworks such as PyTorch, TensorFlow, Hugging Face, or DeepSpeed, • 2+ yrs of proven experience managing teams delivering ML/LLM models in production environments., • Knowledge of distributed training, GPU/TPU optimisation, and cloud platforms (AWS, GCP, Azure)., • Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines., • Excellent leadership, communication, and cross-functional collaboration skills., • Bachelor’s or Master’s in Computer Science, Engineering, or related field Nice to Have • Experience training or fine-tuning foundation models., • Contributions to open-source ML or LLM frameworks., • Understanding of Responsible AI, bias mitigation, and model interpretability. Offer Details: • Commitments Required: 8 hours per day with an overlap of 6 hours with PST., • Employment type : Contractor assignment (no medical/paid leave), • Duration of contract: 6 months. Extendable up to 12 months Evaluation Process (approximately 75 mins) : • Two rounds of interviews (60 min technical + 30 min technical & cultural discussion) How to Apply: Please apply via Linkedin or send us your updated CV to

Ship production ML and agentic AI powering market leaders worldwide Boam AI builds managed data solutions that transform messy, unstructured signals from public, private, and proprietary sources into structured, reliable, and always up-to-date intelligence on millions of SMBs and enterprises worldwide. These agentic systems power CRMs, data warehouses, AI products, and mission-critical decisions across the enterprise. As an Applied AI Engineer, you will own the lifecycle of the models and agents that power our product. You will build and maintain ML data pipelines, develop production-ready LLM- and agent-driven features, and work closely with backend engineers to integrate models into real systems. This is a role for someone who has shipped ML to production, wants real ownership over models and pipelines, and is excited to work on a small, senior team where AI is at the core of the product. What You’ll Do • Own the ML model lifecycle from training and evaluation to deployment, • Build and maintain ML & agentic data pipelines for training, inference, and monitoring, • Develop production-ready agentic and large-language-model–driven features, • Integrate models into production systems in close collaboration with backend engineers, • Implement experiment tracking, model CI/CD, and automated retraining, • Improve performance, reliability, and observability of ML and AI systems in production, • Work with product and data teams to turn ambiguous problems into concrete ML/AI solutions, • Use next-gen AI tools to improve iteration speed and model quality You Might Be a Fit If... • 3+ years of ML engineering experience working on production systems, • Strong Python skills and hands-on ownership of end-to-end ML pipelines or agentic systems, • Comfortable with data preprocessing, feature engineering, and evaluation at scale, • Familiarity with LLMs or modern foundation models, • Experience with common ML tooling (e.g. PyTorch, TensorFlow, XGBoost, vector DBs, experiment trackers), • Comfortable working across APIs, data stores, and infrastructure, not just notebooks, • Bias to ship, measure, and refine rather than chase perfect offline metrics, • Motivated by solving real customer problems and seeing models used in the wild, • Thrive without heavy process, QA buffers, or endless safeguards – you own what you ship Why Boam AI • Join a no-politics, high-trust, low-ego, and high-talent team, • Work on mission-critical ML/AI systems used by top-tier enterprise customers, • Work directly with founders, the Head of Engineering, and senior engineers on problems that matter, • High autonomy, real impact, and clear ownership from day one, • Operate at the intersection of AI, data infrastructure, and enterprise workflows, • Top-tier compensation with meaningful equity upside, • Help shape the ML/AI platform, patterns, and practices you can be proud of Our Hiring Process Our process is fast, structured, and transparent – built to respect your time and surface real mutual fit 1. Intro Call: A short conversation to learn more about you, share context on Boam AI and the ML/AI role, and answer initial questions, 2. Deep Dive: Walk us through past ML/AI work, systems you have built, and how you think about complex, ambiguous modeling and production challenges, 3. Work Sample: Solve a real Boam-style ML/AI challenge that shows your modeling approach, pipeline thinking, and execution muscle, 4. Founder / Leadership Conversation: Candid discussion with our founder and Head of Engineering on ambition, values, ownership, and how you would help us scale our ML and agentic systems Apply between Dec 15, 2025 and Jan 10, 2026. After Jan 10, we’ll review all applications and quickly invite the candidates we’d like to take forward.

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Sales Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. Are you a technically-minded, courageous communicator with a startup mentality and a passion for innovation? Do you thrive in a fast-paced environment where you can build, scale, and evangelize cutting-edge solutions? The world of IT Service Management is changing and Salesforce is leading the charge by heavily investing in ITSM space. Salesforce has launched Agentforce IT Service, a next-generation ITSM solution built on the world’s #1 Service Cloud. Unlike legacy tools trapped in “portal-to-ticket” workflows, Agentforce is agent-first, conversation-first, and workflow-driven - redefining how employees resolve issues through AI-powered, 24/7 conversational experiences. This is your opportunity to be part of Salesforce’s bold entry into the ITSM market - helping customers automate up to 80% of IT tasks end-to-end with the combined power of Agentforce, Data Cloud, and Einstein AI. This Specialist Solution Engineer role sits within our Emerging Business Unit, focusing on products in a similar growth lifecycle phase. The EBOU’s mission is to incubate, scale, and grow these solutions with a startup mindset. You'll operate as a subject matter expert, articulating the value of our solutions and their seamless integration within the broader Salesforce portfolio. This is a dynamic role where your ability to think outside the box, challenge the status quo, and identify solutions that drive sales will be key to our team's success. Product Overview As a Specialist Solution Engineer supporting Agentforce IT Service, you will be instrumental in demonstrating and evangelizing in these areas: Our IT Service Management (ITSM) Solution Revolutionizes How Employees Get Help And How IT Teams Deliver It. Built On The World’s #1 Service Cloud Platform, Agentforce IT Service Replaces Outdated “portal-to-ticket” Systems With An Agent-first, Conversation-first, Workflow-driven Experience. You’ll Be Selling a Solution That Helps Companies • Deliver Conversational, Always-On Support: Empower employees to get help in minutes, not hours, without leaving their workflow. Agentforce meets users where they work — in Slack — allowing them to request hardware, reset passwords, or report issues through natural conversation rather than complex forms., • Automate End-to-End Incident Management: Accelerate resolutions with AI-driven triage, auto-creation of incidents, and intelligent routing to the right specialists. Reduce manual effort and improve agent productivity by letting Einstein handle repetitive tasks.

About The Job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Senior Software Engineer Type: Independent contractor Compensation: $80–$160/hour Location: Remote Commitment: 15–25 hours/week, with flexibility up to 40 hours/week Role Responsibilities • Review and refine AI-generated prompts, responses, and code., • Validate algorithms and software concepts for technical accuracy., • Provide structured feedback on solution quality and clarity., • Tag and organize content by topic, difficulty, or language., • Support benchmarking efforts to assess model capabilities., • 5+ years of experience in software engineering, technical research, or educational content development., • Bachelor's degree in Software Engineering, Computer Science, or a related field., • Strong proficiency in languages like Python, JavaScript, Java, or C++., • Experience with debugging, testing, and validating code., • Independent contractor, • Upload resume, • AI interview: A short, 15-minute conversational session to understand your background, experience, and interest in the role

incident.io is the leading all-in-one platform for incident management. From small bugs to major outages, incident.io helps teams respond fast, reduce downtime, and improve every time something goes wrong. Since launching in 2021, we’ve helped 800 companies—including Netflix, Airbnb and Block—resolve over 250,000 incidents. Every month, more than 30,000 responders across Engineering, Product and Support use incident.io to fix things faster. We’re a small team that cares deeply about pragmatism, quality, magic, and pace. We've raised $100M from Index Ventures, Insight Partners and Point Nine, alongside many angel investors who are founders and executives of world-class companies. Why you should join us We are building the on-call experience we’ve always wanted—fast, intuitive, and human. We’re looking for our first React Native Product Engineer to lead the charge on our mobile app for iOS and Android. You’ll have a wide remit, plenty of autonomy, and the chance to shape everything from architecture and tooling to the user experience and release process. This is a rare opportunity to join us early and build something meaningful: a product that supports real people through high-stakes, high-pressure moments—and helps them feel in control. If you care about craft, thoughtful UX, and doing work that has immediate impact, we’d love to hear from you. While your main focus will be on mobile, you’ll work across the stack and alongside product engineers, designers, and PMs to ship work that has an impact on thousands of users. What you’ll be doing • Be the driving force behind our mobile app. You’ll set the tone for how we build a beautiful and reliable on-call app that customers love using., • Build across the stack. While your focus will be React Native, you’ll work end-to-end to deliver a cohesive product experience., • Put users first. You’ll care deeply about usability, accessibility, and performance, and you’ll work closely with customers to understand their needs and test your ideas., • Ship value quickly, with care. We think deeply but bias towards action—shipping fast helps us learn, improve, and stay focused on what matters most., • Level-up your team. Whether it’s mentoring, sharing the experience you’ve gained, or offering thoughtful feedback, you’ll help the whole team grow and do better work together. What experience you need to be successful • Built and shipped high-quality iOS and Android apps in React Native that are used at scale., • Enjoy breaking down complex problems and finding pragmatic paths forward., • Experience working across a stack, and are comfortable picking up new tools or languages where needed., • Care deeply about the user experience and are keen to speak directly with customers., • Believe in writing clear, maintainable code, and know when to optimise for learning, not perfection. Our tech stack • Our mobile app is built with React Native and Expo, giving us a strong foundation for delivering a fast, polished experience on both iOS and Android., • Under the hood, our core product is built with Go and TypeScript (React), backed by Postgres, and stitched together using a typed, auto-generated API client that helps us move quickly and safely across the stack., • We deploy everything into Google Cloud Platform, making use of GKE, Cloud SQL, BigQuery, PubSub, and Cloud Storage, with infrastructure managed through Terraform and CI/CD pipelines powered by CircleCI., • We keep a close eye on how things behave in production using Sentry for errors, Grafana and Prometheus for metrics and dashboards, and Kibana for logs., • We’re also investing in the future. Our AI-powered features use tools from Anthropic, Vertex, and OpenAI, alongside our own internal AI tooling which lets us experiment quickly, ship confidently, and measure how things perform in the wild. Company Benefits We’re building a place where great people can do their best work—and that means looking after you and your family with benefits that support health and personal growth. • Market leading private medical insurance, • Generous parental leave, • First Friday of the month off, • Generous annual leave/PTO allowance, • Competitive salary and equity, • Remote working and personal development budget, • Enhanced pension/401k

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role? American Express Technologies is seeking a Senior Engineer with advanced skills in Generative AI and Data Engineering to join our Production Management tooling team. Our mission is to transform how critical platforms are supported by embedding AI-first solutions into event management and system reliability. We are looking for highly motivated, creative problem solvers who are excited to design and implement innovative AI tools that address complex business challenges at scale. Key Responsibilities: • Mentors junior AI Engineers and cross-functional team of colleagues, fostering a culture of excellence and innovation, • Provides guidance and support to junior engineers, fostering professional growth and development within the team, • Directs the design, development, testing, and deployment of applications and systems, • Oversees a variety of tasks, platforms, and technologies to meet evolving requirements, • Design and develop Generative AI applications, including RAG pipelines, agentic workflows, and Model Context Protocol (MCP) integrations., • Collaborate with data owners to build data pipelines, feature engineering processes, and context enrichment strategies that optimize AI-enabled solutions., • Prototype and deliver production-ready tools leveraging LLMs, embeddings, vector databases, and orchestration frameworks., • Translate business and operational challenges into AI-first solutions with a product mindset, ensuring they deliver measurable improvements in system reliability, incident response, and user experience., • Ensure production-ready deployments include appropriate logging, monitoring, and runbooks, maintaining operational excellence alongside innovation., • Partner with multiple teams across the enterprise to identify, prioritize, and deliver product-driven GenAI opportunities that improve platforms, tooling, and processes., • Monitors AI performance and implements improvements to optimize functionality, • Analyzes technical challenges and provides innovative solutions to enhance quality and efficiency, • Collaborates and co-creates effectively with teams in product and the business to align technology initiatives with business objectives Minimum Qualifications: • Experience developing agentic AI applications and integrating multi-step reasoning into enterprise workflows., • Strong grounding in data science techniques, including experimentation, model evaluation, and applied statistical methods., • Exposure to observability and monitoring tools such as Splunk, Grafana, Dynatrace, and ELK., • Hands-on experience with LLM frameworks (LangChain, LangGraph, or similar) and RAG architectures., • Strong programming skills in Python (preferred) and/or Go, with proven ability to build both prototypes and production applications., • Solid understanding of data engineering principles, including ETL pipelines, structured/unstructured data management, and vector databases., • Experience with machine learning frameworks such as PyTorch, TensorFlow, and Hugging Face., • Bachelor’s degree in Computer Science, Computer Engineering, Data Science, and/or comparable experience; advanced degree preferred Preferred Qualifications: • 5 – 7 years technical engineering and development experience or a related job, • Experience developing agentic AI applications and integrating multi-step reasoning into enterprise workflows., • Experience in automation testing and documentation (i.e. automated, functional, and performance), • Strong grounding in data science techniques, including experimentation, model evaluation, and applied statistical methods. Familiarity with APIs, microservices, and web technologies (React, NodeJS, SQL) to deliver end-to-end solutions. Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions. We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: • Competitive base salaries, • Bonus incentives, • Support for financial-well-being and retirement, • Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location), • Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need, • Generous paid parental leave policies (depending on your location), • Free access to global on-site wellness centers staffed with nurses and doctors (depending on location), • Free and confidential counseling support through our Healthy Minds program

About The Job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: AI Agent Infrastructure Engineer Type: Contract Compensation: $74–$168/hour Commitment: 20–30 hours/week Role Responsibilities • Design, build, and optimize infrastructure for training, deploying, and scaling AI agents across distributed systems., • Develop robust backend services, APIs, and orchestration frameworks that support multi-agent workflows and high-performance compute environments., • Collaborate closely with research and product teams to integrate model-serving pipelines, memory systems, and reasoning components., • Implement monitoring, observability, and failover mechanisms to ensure high system reliability and fault tolerance., • Evaluate and refine infrastructure performance, identifying bottlenecks and improving efficiency across data, compute, and model layers., • Strong background in Computer Science, Software Engineering, or Systems Design., • Experience with cloud computing (AWS, GCP, or Azure) and Docker and Kubernetes., • Proficiency in Go, Rust, Python, or C++., • Excellent collaboration and communication skills., • Familiarity with LLM inference pipelines, multi-agent architectures, or reinforcement learning environments., • Upload resume, • AI interview based on your resume

Methods Analytics (MA) is recruiting for a Data Engineer to join our team within the Public Sector Business unit on a permanent basis. This role will be mainly remote but require flexibility to travel to client sites, and our offices based in London, Sheffield, and Bristol. Salary: £50k - £65k What You'll Be Doing as a Data Engineer: • Work closely with cross-functional teams, translating complex technical concepts into clear, accessible language for non-technical audiences and aligning data solutions with business needs., • Collaborate with a dynamic delivery team on innovative projects, transforming raw data into powerful insights that shape strategic decisions and drive business transformation., • Utilise platforms and tools such as Microsoft Fabric, Azure Data Factory, Azure Synapse, Databricks, and PowerBI to build robust, scalable, and future-proof end-to-end data solutions., • Design and implement efficient ETL and ELT pipelines, ensuring seamless integration and transformation of data from various sources to deliver clean, reliable data., • Develop and maintain sophisticated data models, employing dimensional modelling techniques to support comprehensive data analysis and reporting., • Implement and uphold best practices in data governance, security, and compliance, using tools like Azure Purview, Unity Catalog, and Apache Atlas to maintain data integrity and trust., • Ensure data quality and integrity through meticulous attention to detail and rigorous QA processes, continually refining and optimising data queries for performance and cost-efficiency., • Develop intuitive and visually compelling Power BI dashboards that provide actionable insights to stakeholders across the organisation., • Monitor and tune solution performance, identifying opportunities for optimisation to enhance the reliability, speed, and functionality of data systems., • Enable business leaders to make informed decisions with confidence by providing them with timely, accurate, and actionable data insights., • Be at the forefront of data innovation, driving the adoption and understanding of modern tooling, architectures, and platforms., • Deliver seamless and intuitive data solutions that enhance the user experience, from real-time streaming data services to interactive dashboards., • Proficiency in SQL and Python: You are highly proficient in SQL and Python, enabling you to handle complex data problems with ease., • Understanding of Data Lakehouse Architecture: You have a strong grasp of the principles and implementation of Data Lakehouse architecture., • Hands-On Experience with Spark-Based Solutions: You possess experience with Spark-based platforms like Azure Synapse, Databricks, Microsoft Fabric, or even on-premise Spark clusters, using PySpark or Spark SQL to manage and process large datasets., • Expertise in Building ETL and ELT Pipelines: You are skilled in building robust ETL and ELT pipelines, mostly in Azure, utilising Azure Data Factory and Spark-based solutions to ensure efficient data flow and transformation., • Efficiency in Query Writing: You can craft and optimise queries to be both cost-effective and high-performing, ensuring fast and reliable data retrieval., • Experience in Power BI Dashboard Development: You possess experience in creating insightful and interactive Power BI dashboards that drive business decisions., • Proficiency in Dimensional Modelling: You are adept at applying dimensional modelling techniques, creating efficient and effective data models tailored to business needs., • CI/CD Mindset: You naturally work within Continuous Integration and Continuous Deployment (CI/CD) environments, ensuring automated builds, deployments, and unit testing are integral parts of your development workflow., • Business Requirements Translation: You have a knack for understanding business requirements and translating them into precise technical specifications that guide data solutions., • Strong Communication Skills: Ability to effectively translate complex technical topics into clear, accessible language for non-technical audiences, • Exposure to Microsoft Fabric: Familiarity with Microsoft Fabric and its capabilities would be a significant advantage., • Experience with High-Performance Data Systems: Handling large-scale data systems with high performance and low latency, such as managing 1 billion+ records or terabyte-sized databases., • Knowledge of Delta Tables or Apache Iceberg: Understanding and experience with Delta Tables or Apache Iceberg for managing large-scale data lakes efficiently., • Knowledge of Data Governance Tools: Experience with data governance tools like Azure Purview, Unity Catalog, or Apache Atlas to ensure data integrity and compliance., • Exposure to Streaming/Event-Based Technologies: Experience with technologies such as Kafka, Azure Event Hub, and Spark Streaming for real-time data processing and event-driven architectures., • Understanding of SOLID Principles: Familiarity with the SOLID principles of object-oriented programming., • Understanding of Agile Development Methodologies: Familiarity with iterative and agile development methodologies such as SCRUM, contributing to a flexible and responsive development environment., • Familiarity with Recent Innovations: Knowledge of recent innovations such as GenAI, RAG, and Microsoft Copilot, as well as certifications with leading cloud providers and in areas of data science, AI, and ML., • Experience with Data for Data Science/AI/ML: Experience working with data tailored for data science, AI, and ML applications,, • Autonomy to develop and grow your skills and experience, • Be part of exciting project work that is making a difference in society, • Strong, inspiring, and thought-provoking leadership, • Development access to LinkedIn Learning, a management development programme and training, • Wellness 24/7 Confidential employee assistance programme, • Social - office parties, pizza Friday and commitment to charitable causes, • Time off - 25 days of annual leave a year, plus bank holidays, with the option to buy 5 extra days each year, • Volunteering - 2 paid days per year to volunteer in our local communities or within a charity organisation, • Pension Salary Exchange Scheme with 4% employer contribution and 5% employee contribution, • Life Assurance of 4 times base salary, • Private Medical Insurance which is non-contributory (spouse and dependants included), • Worldwide Travel Insurance which is non-contributory (spouse and dependants included)

AVEVA is creating software trusted by over 90% of leading industrial companies. Employment type: Full-time Summer Internship Duration: 10 weeks starting June 2026 Work Type: Hybrid (3 days a week in office) Location: Derry, Northern Ireland R&D at AVEVA: Our global team of 2000+ developers work on an incredibly diverse portfolio of over 75 industrial automation and engineering products, which cover everything from data management to 3D design. AI and cloud are at the center of our strategy, and we have over 150 patents to our name. Our track record of innovation is no fluke – it’s the result of a structured and deliberate focus on learning, collaboration, and inclusivity. If you want to build applications that solve big problems and do impactful work, join us! As a Software Developer Intern, you will: • Work alongside our experienced software developers on one of our small, energetic development teams., • You have a passion for creating software., • You like problem solving and have sharp debugging skills., • Self-motivated individuals with a passion for creating software, • Studying towards a Computer Science, Computer Engineering, Math, Engineering, degree or related field.

Founding Backend Engineer FinTech | UK | Remote-first | £80K - £120K An early-stage fintech is building a greenfield platform in the tax & compliance space and is hiring a Founding Backend Engineer to help shape both the backend and AI-driven systems. What you’ll do: • Build scalable backend services and APIs, • Develop production-grade LLM systems (agentic workflows, RAG, evals), • Work on data-heavy, real-world problems in a regulated domain, • Own features end-to-end and influence architecture Tech: • Python, Go, or Node.js, • Hands-on experience with agentic systems, RAG, LLM workflows, and evaluations (beyond prompting), • Cloud infrastructure experience If you want real ownership and to build AI systems that actually ship, apply for more details.

Job Title: AI Engineer Location: Hybrid (UK wide, multiple roles) Employment Type: Permanent Salary: Competitive Start Date: Immediate Industry: IT Services & Consulting DV clearance is required for this role due to the secure nature of the projects. A leading digital and data consultancy is growing its AI capability and is looking for software engineers and data scientists with a passion for Generative AI to join its Digital & Data community. This role sits at the intersection of engineering, AI experimentation, and real-world delivery. You’ll work in cross-disciplinary teams alongside product, design and engineering experts to explore, prototype and scale modern AI solutions that solve complex client problems. You’ll be hands-on with emerging technologies, given the freedom to experiment, and supported by a strong internal AI community that values curiosity, learning and shared progress. AI Engineer – Key Responsibilities • Generative AI frameworks and tools such as LangChain, LlamaIndex, Hugging Face, and APIs from OpenAI and Anthropic, • Building RAG (Retrieval-Augmented Generation) prototypes using vector stores and knowledge graphs, • Developing and testing agentic architectures enabling AI agents that reason, retrieve and act across systems, • Exploring LLMOps, evaluation tools and observability platforms (e.g. TruLens, LangSmith), • Deploying solutions in modern cloud and DevOps environments (AWS, Azure, GCP), • Continuous experimentation, learning and knowledge sharing within an internal AI community AI Engineer – Key Skills Required • Live & active DV clearance is required for this role, • Experience within secure public sector/government environments is key, • A software engineer with a strong interest in AI, or a data scientist with an engineering mindset, • Someone who experiments, prototypes and explores AI tools in your own time, • Comfortable with at least one language suited to AI systems and data workflows, • Experienced integrating models with APIs, data sources or production systems, • Curious about LLMs, RAG pipelines (vector and graph-based), and agent frameworks, • Familiar with cloud-native platforms (AWS / Azure / GCP) and DevOps / DevSecOps practices, • Collaborative, curious, and keen to learn and share knowledge, • Knowledgeable in prompt/context engineering, model evaluation, and LLMOps concepts, • Comfortable with distributed systems, microservices and RESTful APIs Please apply now if this role is of interest.

Job Title: Senior Software Engineer (AI HealthTech) Client: AI HealthTech Scale-Up – Backed by Top-Tier Investors, Led by World-Class Engineers Salary: Up to £100k + Bonus + Equity Location: Remote (UK-based) with an optional office Sells: Work on cutting-edge AI systems that power healthcare innovation at scale. Full remote flexibility across the UK, total ownership of greenfield projects, modern tech stack (Python/FastAPI/Cloud), and a culture that rewards curiosity, autonomy, and clean engineering. An AI HealthTech company is expanding its high-calibre engineering team and looking for Software Engineers who thrive on building elegant, scalable systems from the ground up. You’ll be joining a small, world-class team working on distributed backend platforms, data-driven AI tools, and core infrastructure supporting advanced medical technologies. This is a true software engineering role where you'll be designing, building, and scaling complex systems that solve real problems in healthcare. Role • Design and build production-grade backend systems using Python and FastAPI, • Develop distributed, high-performance services and APIs for AI-driven platforms, • Contribute to architecture decisions, scalability planning, and system optimisation, • Implement best practices in testing, CI/CD, and performance monitoring, • Collaborate closely with product, AI, and data teams to deliver end-to-end solutions, • 4+ years of experience as a Software Engineer building modern backend systems, • Strong Python skills (FastAPI preferred; Flask or Django also considered), • Knowledge of system design, data modelling, and distributed architecture, • Familiarity with cloud technologies (AWS, Azure, or GCP) and containerisation, • Understanding of software engineering best practices — testing, CI/CD, clean code, • Fully remote working across the UK, with an optional Holborn office, • Chance to shape core architecture in a high-impact HealthTech environment, • Flat, engineering-led structure with autonomy and trust, • Work on complex, meaningful technical problems that matter, • Strong equity offering and long-term growth opportunities, • Culture built around innovation, ownership, and collaboration

Build the ML systems that power market leaders Boam AI builds managed data solutions that transform messy, unstructured signals from public, private, and proprietary sources into structured, reliable, and always up-to-date intelligence on millions of SMBs and enterprises worldwide. These agentic systems power CRMs, data warehouses, AI products, and mission-critical decisions across the enterprise. As a Senior Machine Learning Engineer, you will own end-to-end ML systems that power our core product. You’ll design and operate scalable ML data pipelines and agentic workflows, ship production-ready LLM and model-driven features, and help guide how new research and techniques make it into production. This is a role for someone who has shipped ML at scale, wants real ownership, and is excited to help set the bar for a small, senior team. What You’ll Do • Own production ML systems end to end: design, ship, operate, and improve, • Build scalable ML pipelines and agentic workflows you can run and trust at scale, • Develop and ship production-ready LLM- and model-driven features, • Collaborate closely with backend, data, and product teams on ML-powered features and APIs, • Guide the adoption of new ML research and techniques into production systems, • Implement and refine experiment tracking, model CI/CD, and automated retraining, • Raise reliability and observability: drift detection, data quality, and regressions, • Help shape our ML/AI architecture, tooling, and best practices, • Mentor ML engineers through design reviews, pairing, and feedback You Might Be a Fit If... • 5+ years of ML experience, including owning production ML systems end to end, • Strong Python skills and deep experience with ML or LLM-based systems, • Comfortable designing and operating ML pipelines, feature stores, and evaluation at scale, • Familiarity with modern foundation models and agentic patterns, • Helped engineers level up through feedback and standards, • Evaluated new ML/AI approaches and got the best ones into production, • Bias to ship, measure, and refine rather than chase perfect offline metrics, • Motivated by solving real customer problems and seeing models used in the wild, • Thrive without heavy process, QA buffers, or endless safeguards – you own what you ship Why Boam AI • Join a no-politics, high-trust, low-ego, and high-talent team, • Work on mission-critical ML systems used by top-tier enterprise customers, • Work directly with founders and the Head of Engineering on problems that matter, • High autonomy, real impact, and clear ownership from day one, • Operate at the intersection of AI, data infrastructure, and enterprise workflows, • Top-tier compensation with meaningful equity upside, • Help build the ML platform, patterns, and engineering culture you can be proud of Our Hiring Process Our process is fast, structured, and transparent – built to respect your time and surface real mutual fit 1. Intro Call: A short conversation to learn more about you, share context on Boam AI and the role, and answer initial questions, 2. Deep Dive: Walk us through past ML work and systems you’ve led, and how you think about complex, ambiguous modeling and production challenges, 3. Work Sample: Solve a real Boam-style ML challenge that shows your modeling approach, system design thinking, and execution muscle, 4. Founder / Leadership Conversation: Candid discussion with our founder and Head of Engineering on ambition, values, ownership, and how you’d help us scale our ML and agentic systems and mentor the team. Apply between Dec 15, 2025 and Jan 10, 2026. After Jan 10, we’ll review all applications and quickly invite the candidates we’d like to take forward.

About The Job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Senior Software Engineer Type: Independent contractor Compensation: $80–$160/hour Location: Remote Commitment: 15–25 hours/week, with flexibility up to 40 hours/week Role Responsibilities • Review and refine AI-generated prompts, responses, and code., • Validate algorithms and software concepts for technical accuracy., • Provide structured feedback on solution quality and clarity., • Tag and organize content by topic, difficulty, or language., • Support benchmarking efforts to assess model capabilities., • 5+ years of experience in software engineering, technical research, or educational content development., • Bachelor's degree in Software Engineering, Computer Science, or a related field., • Strong proficiency in languages like Python, JavaScript, Java, or C++., • Experience with debugging, testing, and validating code., • Independent contractor, • Upload resume, • AI interview: A short, 15-minute conversational session to understand your background, experience, and interest in the role

What You’ll Do: • Build and deploy real AI systems that automate workflows and solve real user problem, • Work directly with clients from day 1 - define the roadmap, manage delivery, solve hard problem, • Own full-stack AI projects: LLMs, backend, cloud deployments, APIs, UI where needed, • Collaborate with product managers, designers and engineers internally and externally, • Write code that scales, abstracts, and adapts fast What You’ve Done: • 5-8 years of experience as an engineer; ideally some in startups, consulting, or AI tooling, • Have deployed your own AI tools or products (LLM apps, agents, copilots, etc), confident with Python and at least a few of: Cursor / Claude Code / other AI coding tools, LLM APIs (Gemini, Claude, GPTs etc.), cloud deployments (AWS / GCP / Azure, • Have worked directly with clients or stakeholders and know how to scope a solution, • Bonus if you’ve led teams, been a founder, or shipped under pressure Why Palindrom: • We’re actual builders – no bloated decks, no filler roles, no politics, • You’ll work on frontier problems with high agency and autonomy, • Fast progression if you deliver quality work, • Bonus structure based on impact, not politics, • Flat hierarchy, no time-wasting meetings Interview Process 1. 30 mins Intro interview, 2. 90 mins Whiteboarding, 3. 1 day Technical challenge (solving a real-world problem, (ai)coding/architecting), 4. 30 mins Meeting with the team + Offer

AVEVA is creating software trusted by over 90% of leading industrial companies. AVEVA is looking for a Software Developer Intern to join our R&D team in summer 2026 for 10-week internship. Employment type: Full-time Summer Internship Duration: 10 Weeks, starting June 2026 Work Type: Hybrid (3 days a week in office) Locations: Cambridge, UK R&D at AVEVA: Our global team of 2000+ developers work on an incredibly diverse portfolio of over 75 industrial automation and engineering products, which cover everything from data management to 3D design. AI and cloud are at the center of our strategy, and we have over 150 patents to our name. Our track record of innovation is no fluke – it’s the result of a structured and deliberate focus on learning, collaboration, and inclusivity. If you want to build applications that solve big problems and do impactful work, join us! As a Software Developer Intern, you will: • Work alongside our experienced software developers on one of our small, energetic development teams., • Currently enrolled in a full-time degree, studying towards Computer Science, Computer Engineering, Math, Engineering degree or related field., • Basic understanding of software development in one or more modern programming languages (C++, C#, HTML/JavaScript, Python etc.), • A passion for creating software with good skills in problem solving and debugging.

• Job Title: Prompt Engineer (Non-Technical / Creative) - Remote, • Employment Type: Remote, part-time independent contractor, • Location: Remote within United States, United Kingdom, Canada, Ireland, Australia & New Zealand (You must be legally authorised to work in the country where you are based) Role Overview: We are hiring on behalf of one of our clients, a leading global player in the AI space. This remote, part-time contract role involves designing and refining creative text inputs (prompts) to test and push the boundaries of AI capabilities. Unlike a technical coding role, this position relies on linguistic creativity, logic, and experimentation to elicit the best possible responses from AI models across various creative, conversational, and complex reasoning scenarios. Key Responsibilities: • Craft diverse and creative prompts to test specific AI capabilities, including creative writing, role-playing, and complex reasoning., • Iteratively refine and "engineer" natural language prompts to achieve specific output goals, optimizing for tone, style, and accuracy., • Conduct stress testing and edge-case analysis to identify where the AI fails to follow complex instructions or safety guidelines., • Analyze AI outputs to determine how subtle changes in prompt structure or phrasing affect the quality of the response., • Document successful prompting strategies and contribute to a library of effective prompt templates and best practices. Qualifications: • Strong command of written English and clear, professional communication skills., • Analytical mindset with strong attention to detail, accuracy, and consistency., • Ability to understand/follow written guidelines or rubrics consistently when reviewing content., • Comfortable working independently in a remote environment, managing time across multiple projects. Compensation and Benefits: • Rate: Earn up to $18 USD/hr (Rates vary based on project complexity and expertise)., • Flexibility: 100% remote with no fixed schedule. Contributors typically spend 5–10 hours per week, with the option to work up to 40 hours. Equal Opportunity Employer: We're committed to fostering a diverse and inclusive work environment. We welcome applicants from all backgrounds and celebrate diversity in our workforce.

Ship & run backend systems that turn messy signals into truth Boam AI builds managed data solutions that transform messy, unstructured signals from public, private, and proprietary sources into structured, reliable, and always up-to-date intelligence on millions of SMBs and enterprises worldwide. These agentic systems power CRMs, data warehouses, AI products, and mission-critical decisions across the enterprise. As a Senior Backend Engineer, you will own core parts of our Scala + Python data and agent infrastructure. You will design, build, and scale existing and greenfield systems that keep our data fresh, our APIs fast, and our customers’ workflows moving. This is a role for someone who wants real ownership over hard technical problems, with minimal safety nets and a small, senior team. What You’ll Do • Design and build resilient backend services and APIs, • Own critical data pipelines from ingestion to enrichment to delivery, • Prepare our systems for 100x data growth over the next three years, • Build reliability and test coverage into the code itself – no separate QA layer, • Improve performance, scalability, and observability across our stack, • Work closely with data/ML to productize AI-powered agents end to end, • Raise the engineering bar through design reviews, pairing, and mentorship, • Optimize for real impact, customer outcomes, and fast iteration over theoretical perfection, • Use next-gen AI tools to improve code quality and velocity You Might Be a Fit If... • 5+ years building and operating production backend systems, • Strong experience with Scala, Python or functional / JVM languages, • Comfortable with distributed systems, data modeling, and high-volume pipelines, • Enjoy greenfield work: from first principles design to deploy and monitoring, • Thrive without heavy process, QA buffers, or endless safeguards, • Bias to ship, measure, and refine rather than over-architect, • Motivated by solving real user problems, not just abstract puzzles, • Excited to work where AI/ML is deeply embedded in the product, not bolted on Why Boam AI • Join a no-politics, high-trust, low-ego, and high-talent team, • Own mission-critical systems used by top-tier enterprise customers, • Work directly with founders & Head of Engineering on problems that matter, • High autonomy, real impact, and clear ownership from day one, • Operate at the intersection of AI, data infrastructure, and enterprise workflows, • Top-tier compensation with meaningful equity upside, • Help build the platform, patterns, and engineering culture you can be proud of Our Hiring Process Our process is fast, structured, and transparent — built to respect your time and surface real mutual fit 1. Intro Call: A short conversation to learn more about you, share context on Boam AI and the role, and answer initial questions, 2. Deep Dive: Walk us through past engineering work and how you think about complex, ambiguous backend problems, 3. Work Sample: Solve a real Boam-style technical challenge that shows your coding style, system thinking, and execution muscle, 4. Founder Conversation: Candid discussion with our founder on ambition, values, ownership, and how you’d grow with us as we scale the platform Apply between Dec 15, 2025 and Jan 10, 2026. After Jan 10, we’ll review all applications and quickly invite the candidates we’d like to take forward.

About Legal 500: Legal 500 was founded by John Pritchard in 1987 as the original clients’ guide to law firms, the first of its kind. It is now a data-driven, AI-optimised research platform which benchmarks, informs and connects providers and users of legal services in over 100 countries worldwide. Our research and data are trusted and relied upon by corporate clients globally as an essential part of the process, both of instructing law firms with new mandates, and when reviewing existing mandates or panels. We exist to empower both buyers and sellers in the international legal marketplace to make better decisions and have improved outcomes for their organisations. This is achieved by leveraging a trusted, comprehensive research process with a unique, vast, proprietary and constantly updated set of client-supplied data, unrivalled in the market. On the supply side of the legal market, every year Legal 500’s team of over 150 researchers, technologists, data analysts, journalists and content specialists collate and review 60,000+ data-submissions from law firms and conduct interviews with thousands of leading law firm partners. On the demand side, Legal 500 analyses confidential data from 300,000+ commercial law firm clients to benchmark law firms and lawyers by practice area; industry; jurisdiction; as well as by proprietary client satisfaction metrics, NPS®, and other qualitative and quantitative criteria. Legal 500 is the only source of this depth of global research and data on law firms, lawyers and their clients. About the Role We’re looking for a Senior Systems Engineer to take ownership of our modern cloud environment and lead key infrastructure projects. This is a hands-on technical role where you’ll design and deliver practical solutions across Microsoft 365,Azure/Entra ID, and core infrastructure, while helping us retire legacy systems. You’ll act as a role model for junior engineers and play a pivotal part in shaping our technology roadmap. What You’ll Do • Lead administration and optimisation of Microsoft 365, Entra ID/Azure AD, Conditional Access, PIM, Intune, Autopilot and other cloud services., • Drive infrastructure modernisation, including retirement of legacy AD, SMB and virtualisation workloads., • Act as the senior escalation point for complex incidents, providing structured troubleshooting and root cause analysis., • Own delivery of technical projects end-to-end, including identity uplift, passwordless rollout, security improvements, automation and SaaS integrations., • Produce and maintain technical standards, architecture notes, runbooks and post-incident reviews., • Mentor junior engineers and collaborate across teams to ensure solutions are secure, scalable and aligned to business needs. What We’re Looking For • Strong experience with Microsoft 365 and Azure/Entra ID administration., • Solid understanding of identity, access governance and security controls., • Proven ability to deliver technical projects end-to-end., • Skilled in Intune, Autopilot and modern device management., • Good networking fundamentals (routing, VPN, Wi-Fi)., • Competent in PowerShell scripting for automation and tooling., • Clear communicator with a calm, methodical approach to problem-solving. Interview Process • Screening with Talent team, • 1st stage - IT Manager, • 2nd stage - Panel

About Luma AI Luma's mission is to build multimodal AI to expand human imagination and capabilities. We believe that multimodality is critical for intelligence. To go beyond language models and build more aware, capable and useful systems, the next step function change will come from vision. So we are working on training and scaling up multimodal foundation models for systems that can see and understand, show and explain, and eventually interact with our world to effect change. Where You Come In We are looking for a pragmatic and product-minded Full Stack Engineer to join our team in London. This is a rare opportunity to build the "nervous system" of our research and engineering operations. You will create the internal dashboards, visualization tools, and applications that allow our researchers to test, evaluate, and iterate on our models, directly accelerating our ability to ship frontier AI. This is a high-impact, high-velocity role for an engineer who loves building beautiful, functional UIs and wants to work at the absolute edge of creative AI. What You'll Do • Build the Internal Platform: Architect and maintain internal web applications and dashboards using React, Next.js, and Tailwind that visualize complex model data., • Accelerate Research: Collaborate directly with research and engineering teams to understand their workflows and ship solutions that unblock their progress., • Own the User Experience: Take ownership of the entire development lifecycle, from translating vague researcher needs into concrete UI/UX designs to shipping polished, intuitive tools., • Full Stack Contribution: While primarily frontend focused, you will occasionally contribute to the Python/FastAPI backends that power our internal services., • You have 1–2 years of frontend engineering experience with a solid grasp of React fundamentals., • You are comfortable building UIs from scratch without hand-holding and have examples of shipping production web applications (side projects or professional)., • You are craft-oriented, write clean, readable code, and care about the details—you believe internal tools should feel as polished as consumer products., • You are comfortable with ambiguity and can take a vague problem ("we need a way to look at these video outputs") and turn it into a functional tool., • Some backend experience (Python, FastAPI, MongoDB, PostgreSQL)., • Familiarity with AI coding tools like Cursor or Claude Code to speed up your workflow., • Experience with component libraries like shadcn/ui or Tailwind UI.

Fundment is a fast-growing wealth infrastructure company, building on our cutting-edge digital investment system to transform the £3 trillion UK wealth management market. We are passionate about revolutionising the investment experience for financial advisers and their clients by combining our innovative proprietary technology with exceptional customer service. As we scale, we are growing our multi-disciplinary Data, Analytics&AI function to unlock the full potential of our data assets. About the Role This is a high-impact hands-on leadership role with the opportunity to design and build Fundment’s data and analytics infrastructure from the ground up. Reporting to our Head of Data&Analytics, you will create the data foundations that allow us to deliver data-driven insights, automated systems and AI-powered products to drive business growth and enhance operational efficiency. Key Responsibilities Data Platform Architecture & Strategy: • Lead the implementation of a robust, scalable, and secure data platform architecture on Google Cloud Platform (GCP)., • Define and enforce technical standards, design patterns, and best practices for data ingestion, processing, storage, and consumption., • Ensure our data infrastructure follows best practices across data governance, cataloguing, quality and lineage., • Ensure the data platform adheres to all regulatory requirements (e.g., FCA, GDPR) and implement appropriate access control mechanisms. Data Ingestion and Processing: • Design and deliver complex data pipelines for both batch and real-time streaming data processing from both internal and external data sources., • Build and optimise our query and transform capabilities across both structured and unstructured data., • Define and implement a unified data and metrics framework to ensure consistent definitions and understanding of KPIs across the organization. Data/ML Operations: • Establish and lead the design of CI/CD processes and tooling for data pipelines, enabling scalable, automated, and high-quality delivery across environments., • Implement data observability and data quality monitoring to ensure our data is continually able to support our operations and drive business growth., • Design and build end-to-end MLOps pipelines for continuous improvement in model performance., • Ensure that all data components are provisioned and controlled through Infrastructure As Code (IaC)., • Monitor, analyze, and optimise the cost efficiency of our GCP data plant. Team Leadership & Mentorship: • Build our data engineering capability and recruit other data engineers of the highest calibre., • Provide technical guidance, mentorship, and code reviews to our multi-disciplinary team of analysts, data scientists and engineers., • Translate requirements into technical specifications and project plans, overseeing execution from conception to production., • Collaborate with cross-functional teams across the company to help both technical and non-technical users leverage our data, analytics and AI capabilities in an optimal and secure way. Required Skills/Experience • Experience: Proven experience (7+ years) in data engineering., • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field., • Technical skills:, • Advanced proficiency in SQL and Python for data manipulation and analysis, • Experience in Google data infrastructure, including DataPlex, DataCatalog and BigQuery, • Experience in Google data processing, including DataStream, DataFlow, Cloud Composer, • Experience building and maintaining data transformation layers using dbt., • Strong experience with data visualization tools, (e.g. Looker), • Experience with data observability and monitoring, • Experience with containerization technologies including CloudRun and Docker., • Experienced with Infrastructure as Code (e.g. Terraform), • Experience with MLOps Pipelines, • Communication: Excellent written and verbal communication, presentation and interpersonal skills Preferred Skills/Experience • Experience in a startup or high-growth environment., • Knowledge of data privacy and AI regulation, preferably within financial services., • Familiarity with real-time data processing and streaming analytics., • Experience in GCP Vertex AI platform, including Vertex AI Pipelines, Model Registry, and Vertex AI Endpoints., • Experience building the infrastructure that facilitates deployment and production tuning of ML models and AI systems (including LLMs)., • GCP Professional Data Engineer or Professional Machine Learning Engineer certifications. Why join us? Become part of our flexible, dynamic and supportive work environment, where our innovative team values your ideas and collaboration drives our success together. Make an impact from day one and challenge yourself to continually improve, raise standards and see how your work can contribute to future goals. We are happy to consider any reasonable adjustments that applicants may need during the recruitment process.

About The Job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Senior Software Engineer Type: Independent contractor Compensation: $80–$160/hour Location: Remote Commitment: 15–25 hours/week, with flexibility up to 40 hours/week Role Responsibilities • Review and refine AI-generated prompts, responses, and code., • Validate algorithms and software concepts for technical accuracy., • Provide structured feedback on solution quality and clarity., • Tag and organize content by topic, difficulty, or language., • Support benchmarking efforts to assess model capabilities., • 5+ years of experience in software engineering, technical research, or educational content development., • Bachelor's degree in Software Engineering, Computer Science, or a related field., • Strong proficiency in languages like Python, JavaScript, Java, or C++., • Experience with debugging, testing, and validating code., • Independent contractor, • Upload resume, • AI interview: A short, 15-minute conversational session to understand your background, experience, and interest in the role

• Recruiter: Molly Lees, • Hiring Manager: Julian Burns, • Career Grade: D, • Hybrid Working: 3 days in office 2 remote, • Locations: London, Bristol, Birmingham

Want to put your job search on autopilot? Join our platform, complete a 6-minute AI screening interview, and get auto-applied to 100s of high-paying roles. Sign up now at and let the opportunities come to you. Key responsibilities • User Interfaces: Collaborate closely with designers to translate design mockups into responsive and intuitive user interfaces using React and Tailwind CSS, and contribute to the development and evolution of our design system and theming strategies., • Collaborate with back-end engineers: to define API contracts and best practices for consumption, asking relevant questions about scalability and performance, while pragmatically leveraging the strengths and addressing the weaknesses of both front-end and back-end systems, • System Development: Develop efficient and reusable front-end systems and abstractions to ensure a scalable and maintainable codebase, • Performance Optimisation: Optimise application performance to deliver a high-quality UX, • Industry Trends & Best Practices: Stay up-to-date with emerging trends and best practices in front-end development, particularly in the fintech industry, • Code Review & Quality Assurance: Participate in code reviews, providing constructive feedback to maintain code quality and adherence to coding standards, • Process Improvement: Contribute to the continuous improvement of our development processes and methodologies, • Testing: Strong understanding of unit, integration, and end-to-end testing methodologies and tools, with a bonus for experience in leading E2E testing initiatives Qualifications • Bachelor's degree in Computer Science, Engineering, or related field, • 7+ years of professional experience as a front-end engineer, with a focus on fintech applications, • Proficiency in TypeScript, React, and Tailwind CSS, • Strong understanding of responsive design and mobile-first development, • Deep understanding of end-to-end testing and related technologies, • Experience working in an agile development environment and collaborating with cross-functional teams, • Excellent communication skills and ability to work effectively within a team Want to put your job search on autopilot? Join our platform, complete a 6-minute AI screening interview, and get auto-applied to 100s of high-paying roles. Sign up now at and let the opportunities come to you.

• Job Title: AI Content Quality Analyst (Remote), • Employment Type: Remote, part-time independent contractor, • Location: Remote within United States, United Kingdom, Canada, Ireland, Australia & New Zealand (You must be legally authorised to work in the country where you are based), • Compensation: $15 - $18 per hour based on location, experience, responsibilities, and performance. Role Overview: We are hiring on behalf of one of our clients, a leading global player in the AI space. This remote, part-time contract role places you in a critical diagnostic position within the AI training loop. As a Content Quality Analyst, you will not only review individual pieces of text but also analyze the broader performance of the model. You will assess AI outputs against rigorous quality standards, identify recurring patterns of error, and provide the structured data needed to engineer a more accurate, helpful, and safe AI. Key Responsibilities: • Analyze large sets of AI-generated responses to identify trends in model behavior, such as repetitive phrasing, logical inconsistencies, or refusal to follow constraints., • Perform detailed quality assessments using complex rubrics, rating content on multiple dimensions (e.g., coherence, truthfulness, safety)., • Edit and rewrite subpar AI responses to create "Gold Standard" examples that demonstrate exactly how the model should have replied., • Flag and categorize safety violations, including bias, hate speech, or dangerous content, ensuring strict adherence to responsible AI policies., • Provide feedback on the annotation guidelines themselves, identifying ambiguities or gaps in logic that may be causing inconsistent data labeling. Qualifications: • Proven experience in Quality Assurance (QA), Content Analysis, Data Annotation, or Editing., • Strong analytical skills with the ability to look at text objectively and diagnose why a response failed (e.g., failed logic vs. failed grammar)., • Excellent command of English with the ability to spot subtle nuances in tone and meaning., • Ability to internalize and apply complex, evolving rule sets and decision trees without deviation., • Comfortable working independently in a remote environment, managing time across multiple projects. Compensation and Benefits: • Rate: Earn up to $18 USD/hr (Rates vary based on project complexity and expertise)., • Flexibility: 100% remote with no fixed schedule. Contributors typically spend 5–10 hours per week, with the option to work up to 40 hours. Equal Opportunity Employer: We're committed to fostering a diverse and inclusive work environment. We welcome applicants from all backgrounds and celebrate diversity in our workforce.

🚀 Senior Test Engineer – Python Expert Wanted! Are you ready to take on complex, integrated testing challenges in cutting-edge industries like medical devices, automotive, aerospace, defense, and wireless communications? We’re looking for a Senior Test Engineer who thrives on solving real engineering problems—not just writing unit tests. What you’ll bring: • Deep Python expertise – beyond BDD/Cucumber. You understand executable code, object-oriented design, asynchronous and serial communications., • Experience with Test Derivation, implementing Wrappers (RESTful APIs), and executing command-line parameters., • Strong background in Linux environments and ideally embedded systems., • Hands-on with integrated testing (on-target/HIL), stress and reliability testing., • Bonus: Healthcare/medical device experience is highly valued. What we’re NOT looking for: • Candidates who rely on AI tools during interviews (please note: this will not work and is strictly prohibited)., • Pure unit testing backgrounds or FinTech-only experience. Why join us? • Work on mission-critical systems that make a real-world impact., • Collaborate with top-tier engineers in a dynamic, innovative environment., • Competitive package and career growth opportunities. 💼 Apply now and show us your Python mastery! Planet Pharma is an equals opportunities Recruitment Business and Agency. We welcome applications from all suitably qualified candidates regardless of their race, sex, disability, religion/belief, sexual orientation, or age.

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. At NICE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. So, what’s the role all about? The Cloud Systems Engineer manages, deploys and maintains NICE's production systems, virtualization, SAN, Public Cloud and other supporting environments. The Cloud Systems Engineer will also be responsible for managing, deploying and maintaining our lab environment. The candidate would work as a lead on projects that are across multiple groups. How will you make an impact? • Manage and deploy Windows Domain and Active Directory environment, • Deploy Servers, • Deploy and Manage Public Cloud Compute and Storage Set up and maintain server system and file security, • Manage Lab and Production Infrastructure, • Performing OS level Patching, • Performing Systems and Hardware Level Upgrades, • Deploy, Configure and Maintain Physical Storage (SAN), • Monitor and optimize performance of servers, • Manage Virtualization Environments, • Maintain documentation of Environment and Processes, • Work with vendors to troubleshoot problems and RMA parts as needed, • Manage and deploy Linux server installations, • Bachelor’s Degree in Computer Science, Business Information Systems or related field or equivalent work experience required., • Experience Leading Projects and Delivering Solutions Through Completion, • 2+ years working in a Public Cloud environment, • 3+ years managing and deploying Windows OS Servers preferably in a production environment, • 3+ years managing and deploying Windows domains, Active Directory, DHCP, DNS and IIS, • 3+ years performing and management of OS patching, • 3+ years installing/configuring server hardware and OS, • 5+ years managing and deploying virtual environments, • 2+ years managing physical storage and SAN, • 3+ years managing and deploying blade servers/Enterprise Compute, • 3+ years hands on experience with engineering operations or enterprise operations, • Experience successfully working in fast paced, production environments, • Experience working within a team of IT professionals; taking and following direction and completing tasks and assignments in a timely manner with a positive attitude, • Excellent written and verbal communication skills, • Must have good attention to detail, and the ability to make good, timely decisions, • Be a Team-player, have a positive attitude and able to work with a distributed team in multiple time zones, • Knowledge of protocols such as DNS, HTTP, SMTP and SNMP, • Be a self-starter who is proactive, motivated and can work independently, • Configuration and management of HP Enterprise Servers and/or Cisco UCS, • Experience working with config management and automation technologies, • Comfortable working with changing timelines and deadlines, • Experience working with CloudFormation, • Experience with Linux Server deployment and administration

Company Overview Established in 2006, FluidOne is an award-winning provider of secure Connected Cloud Solutions with a £110m turnover and consistently one of the highest Net Promoter Scores (NPS) in the industry. FluidOne has a strong company culture enjoyed by 500 staff and was ranked in the UK top 50 large companies to work for in the Best Companies awards 2023. FluidOne supports the needs of 2,400 customers, including 200 channel resellers, with IT and Cyber Security managed services underpinned by connectivity and communications solutions. A comprehensive managed service provider (MSP), FluidOne has in-house experts that specialise in providing solutions ranging from IT security and disaster recovery, to cloud hosting and Microsoft licence management. As AI becomes a core enabler of innovation, FluidOne’s vision is to lead the way in secure AI adoption, combining innovative Connected Cloud solutions with unmatched expertise and service, empowering businesses to thrive confidently in the AI era. The company consults with its customers to design solutions that complement their in-house IT structures; taking complex hybrid multi-site environments, to make them simple and secure, so end-users can access their business applications wherever they are. FluidOne delivers tailored IT solutions across a broad customer base, structured to meet the specific needs of different market segments. For small and medium-sized businesses (SMBs), FluidOne provides comprehensive IT support through its branch network, delivering localised, expert services that ensure security, efficiency, and scalability, providing individual solutions and fully comprehensive managed services. For enterprise clients, FluidOne offers advanced solutions that manage costs, risks and optimise organisational operational performance, providing everything from design and delivery to ongoing support. Specialising in Data & AI (D&AI), managed services, and cloud transformation, FluidOne’s toolkit includes consulting-led services that help enterprises harness the power of artificial intelligence while maintaining robust compliance and security. FluidOne’s dual-structured approach ensures all customers—from growing SMBs to large, complex enterprises—benefit from trusted, innovative, and future-ready IT services. Role Overview As a competent Senior IT Engineer, you will be able to provide IT consultancy services to the full range of FluidOne Chorley clients. You will effectively support clients and colleagues as requested in a timely manner in line with the client’s support contracts. Responsibilities: You are required to provide reactive and pro-active technical support services and incident management for the following types of work: • Monitoring and maintaining systems and networks, • Installation and configuration of systems, • Diagnosing faults on both hardware and software, • Solving technical and application issues by phone, email or in person, • Walking clients through troubleshooting steps, • Re-fitting and/or replacing of client hardware, • Supporting updates and/or roll-outs for client applications (training of users as needed), • Working to SLA’s, • Prioritising and managing multiple open tickets, • Establishing good working relationships with clients You will also; • Take details of any problem or service requirement from clients even if they fall outside of your remit – then escalate these appropriately to the relevant team, • Take ownership of tickets as appropriate and continue to own the task until completed even if elements of the work are delegated to others, • At times, be required to work out of the Office, at Client sites or our Core site. This will require travel possible overnight stays and has potential for working out of office hours, • Check for work-related emails, messages and calls from colleagues or clients out of regular office hours (evenings and weekends), especially following any significant project or support activity, to ensure client requirements are met and colleagues are supported In addition you will have the following higher-level responsibilities: • Testing and evaluating any new tech/applications/processes, • Training of new employees, • Being an escalation point for your 2nd and 3rd Line colleagues, • Problem ticket management conduct root cause analysis, • Project Work, • Ticket queue management, prioritising and allocating work as necessary, • Maintenance of technical documentation, • Keeping yourself informed of all on-going projects and multi user impacting issues Requirements: • Excellent verbal and written communication skills, including ability to effectively communicate with internal and external clients (up to senior management levels, using appropriate and professional language), • Must be able to work under pressure and meet deadlines, while maintaining a positive attitude and providing exemplary customer service, • Ability to work independently and to carry out tasks to completion within parameters and instructions given, prescribed routines, and standard accepted practices, • Proven experience in an IT Support Role and Team, • Must follow all integrated ISO management systems, be aware of and comply with all ISO data security systems at all times., • Ability to maintain regular, punctual attendance, • Must be able to talk, listen and be clear and concise in all telephone and written communications, • Must complete all necessary paperwork and administrative tasks as required by your work including timesheets, expenses, ticket notes and all peripheral administrative tasks for this role in a clear and accurate manner, • Ability to handle constantly changing flow of traffic; remain productive during slow times, be able to multitask effectively during busy times, exercise patience and professionalism during stressful situations. Benefits after probationary period Subsidised health and dental care Employee Assistance Programme (EAP) Life assurance (3x salary) Discount platform Pension contribution – 5% company contribution Generous holiday entitlement One day off for birthday Half price internet connectivity Ride2Work scheme

ASIC Design Engineer This is an exciting opportunity for an ASIC Design Engineer to join a fast-growing semiconductor and IP provider specializing in physical layer solutions for advanced wireless communications. With a strong focus on 5G and future wireless standards, it develops cutting-edge channel coding and signal processing technologies that enhance network performance by improving spectral efficiency, latency, and energy consumption. As an ASIC Design Engineer, you will work on the latest generation space qualified devices, delivering standalone IP, and IP integration, with potential to explore implementation on AI Engines. Key Responsibilities • Work closely with the Algorithm team to understand requirements and translate them into architectures for RTL implementations., • Implement designs targeting both FPGA and ASIC using industry standard techniques, including the creation of UVM based testbenches., • Actively engage with and adhere to engineering methodology, processes and design techniques, being able to offer improvements to efficiency and quality for both the design flow and the final product. Required skills: • Knowledge of an RTL language (Verilog, SystemVerilog) for complex ASIC/FPGA products, • A strong skillset in delivering digital designs in the ASIC and FPGA industry, • Optimisation of timing and hardware resources for high throughput data or signal processing applications. Experience in power management techniques, synthesis and timing analysis, • Familiar with the AMBA bus protocol, • Understanding of UVM verification techniques or practical experience using UVM for IP verification. This is a hybrid working role and you must be able to work onsite 2-3 days per week. For more info, please contact Rachel Mason at IC Resources.

A leading insurance provider based in Manchester is looking for a talented Machine Learning Engineer to join their data science team.

A leading insurance company in Manchester is seeking a talented Machine Learning Engineer to join their data science team.

A leading technology firm in Manchester is seeking a Principal Software Engineer to drive architectural transformation and lead the migration to a distributed, AI-agentic platform.The successful candidate will have over 12 years of experience in software engineering, with strong expertise in Python