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Junior Security Testing Consultant UK-wide | Mostly home-based | SC cleared Up to £65,000 Depending on Experience Our client is a large UK cyber and digital organisation delivering security testing services into Government, Defence, and Financial Services environments. They operate as part of a wider cyber capability that includes threat intelligence and incident response, working in regulated and high-assurance settings. This is a junior, hands-on delivery role focused on real security testing work. You will be involved in live security testing engagements from day one, working under experienced testers, with clear progression into more advanced objective-based and intelligence-led testing as your capability develops. What you’ll be doing Supporting the delivery of end-to-end security testing engagements, including scoping support and client wash-up sessions. Conducting hands-on security testing across: • Web applications, • Mobile applications, • Infrastructure and networks, • Objective-based and intelligence-led tests Producing clear, accurate written reports and contributing to presentations for both technical and non-technical stakeholders. Using testing tools and techniques safely and responsibly in sensitive client environments. Working to defined testing methodologies, processes, and controls. Learning and applying new tools, scripts, and techniques under the guidance of senior testers. Collaborating with colleagues across security testing, threat intelligence, and incident response teams. What we’re looking for This is a junior role in terms of seniority, not capability. You must already be hands-on and able to contribute to live engagements. Essential • CREST certification or equivalent CHECK-aligned capability, • Proven hands-on experience delivering security testing activities, • Experience testing real systems rather than lab-only environments, • Understanding of how to operate safely in regulated or restricted environments, • Ability to communicate findings clearly in written reports, • Strong interest in offensive security and technical development, • Active SC clearance, UK Eyes Only, • Eligibility for DV clearance is a strong advantage Nice to have • Experience working with Government, Defence, or Financial Services clients, • Scripting or programming experience, for example Python, C or C++, • Exposure to application testing, infrastructure testing, or vulnerability research, • Interest in adversary emulation or emerging attack techniques You will gain structured exposure to real-world, mission-critical systems, supported by experienced security testers and established delivery processes. The role offers clear progression into senior security testing and red team roles, strong technical mentoring, and experience that carries weight in the UK cyber market. It suits someone who wants to build long-term credibility through disciplined, hands-on delivery rather than short-term experimentation.

Job Title: Senior GCP Cloud Infra Engineer Location: Bristol, Leeds, Halifax, Manchester, Edinburgh- 2Days/week Onsite Duration: 6months+ Contract Inside IR35 550GBP/Day The Role We're looking to recruit Senior GCP Infra DevOps Engineer to be part of our Public Cloud Platform and help achieve our mission to provide compliant and efficient Google Cloud Infra, product and DevOps capabilities for the Group and drive innovation to enable customers to have rapid and seamless Google Cloud Adoption and build their business journeys more scalable, resilient and efficient . Your role will be part of a cross-disciplinary feature team in addition to being a highly experienced member of our wider Lloyds engineering team delivering change. Your role as a GCP Cloud Infra & DevOps specialist involves supporting teams with modern DevOps solutions, curating scalable GCP Cloud Products as IaaC. You'll learn new skills, technologies and approaches to software development as well as benefiting from a culture that celebrates diversity, equal opportunity. Your responsibilities: • Hands-on GCP Cloud Engineering with a strong GCP DevOps and CI/CD background, • Deep expertise in Infrastructure as Code (IaC) and proven experience in Terraform / Terraform Cloud., • Strong hands on experience on curating GCP Cloud Products and Infrastructure, • Build automated workflows around the products using Python Scripting., • Proficient in Google Kubernetes (GKE), Container, Istio Service Mesh, Cluster Management, • Audit and restructure existing Terraform modules and state files, • Migrate legacy configurations into unified, reusable templates, • Implement security-focused Terraform modules with embedded guardrails and policy-as-code (e.g., Sentinel, OPA), • Enforce GCP Org Policies with constraints like IP restrictions, network policy, Access Management, encryption, and region control for secure, compliant cloud governance, • CI/CD Integration, • Implement automation pipelines for infrastructure-as-code deployments Your Profile Essential skills/knowledge/experience: • GCP Cloud Engineering, GCP DevOps & Infra, • Terraform / Terraform Cloud (IaaC), • Python Scripting., • Harness, Jenkins, GitHub, • Google Kubernetes (GKE), Container, Istio Service Mesh, • GCP Organisation Policy, Custom Org Policy (Policy as a Code) – Sentinel/OPA, • GCP and Terraform Certified, • Good to have experience working in an IDE Platform for Cloud Engineering (e.g. Backstage) Desirable skills/knowledge/experience: Looking for Senior Engineering Skills as GCP Cloud SMEs who has contributed also as a Technical Consultant in guiding Design, Architecture and Strategy. Bringing in thought leadership in driving innovation, best practices Good communicator, collaborator and Leader with experience on working with multiple organisational stakeholders. Priyanka Sharma Senior Delivery Consultant Office: 02033759240 Email:

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

ML / AI Engineer (Python/Azure), Fully Remote, £80,000 - £110,000 per annum My client, a leading AI solutions company are currently looking to strengthen their team and bring on an ML / AI Engineer on a permanent basis. the successful candidate will have strong experience with GenAI, ML Models as well as coding in Python. The role: Build and integrate ML models into existing and new applications. Write production-ready code, supporting model inference and logging. Build and evaluate AI workflows and agents for automating various tasks. Containerise applications and prepare them for deployment. Identifying ways of improving how existing systems work. Understanding client requirements across various domains and converting them into products and features. What we are looking for: • Experience in deploying AI/ML applications into production environments, specifically in Cloud environments., • Experience in writing production-ready Python code, with a strong technical foundation grounded in engineering best practices., • Understanding of system design best practices (e.g. ports and adapters), specifically understanding how to develop maintainable and future-proof applications., • Familiarly working with generative AI, with an understanding of how to build reliable systems around the technology., • Strong communications skills, with an ability to collaborate with various teams across product, sales, data science and software engineering., • Strong desire to learn new technologies and methodologies, and apply them to tackle complex problems across various domains. Nice to haves: • Experience working with Azure.

Senior Full Stack Engineer Remote (UK) | Full time London office available for optional in person collaboration We’re looking for an experienced Senior Full Stack Engineer to join a small, highly skilled team building a next generation Financial Services Regulatory Compliance platform. This is a hands on role where you’ll work across the stack, leading frontend development with React and Next.js while also contributing to a Python (FastAPI) backend that powers AI driven insights and data heavy systems. You’ll have real ownership, influence technical direction, and help shape a platform used to simplify complex regulatory information. What you’ll be doing • Leading the development of responsive, high performance frontend features using React and Next.js, • Working closely with product, design, and data teams to create intuitive user experiences, • Building and maintaining scalable APIs and backend services in Python using FastAPI, • Contributing to architectural decisions as the platform evolves and transitions from Azure to GCP, • Ensuring strong integration between frontend and backend with a focus on performance and maintainability, • Taking ownership of features from design through to deployment What we’re looking for • Strong experience building production ready applications with React and Next.js, • Confident use of JavaScript and TypeScript, with a focus on performance and modern React patterns, • Proven experience developing APIs or backend services with Python and FastAPI, • Comfortable working across the full stack and switching between frontend and backend problem solving, • Experience with MongoDB, Redis, and cloud platforms such as Azure, GCP, or AWS, • Experience working with data heavy or AI driven products is a bonus, • A proactive engineer who enjoys working in a small, fast moving team Tech stack • Frontend: React, Next.js, TypeScript, Tailwind CSS, • Backend: Python (FastAPI), • Database: MongoDB, • Caching & queueing: Redis, • Cloud: Azure (transitioning to GCP, AWS possible in future) What you’ll get • Flexible remote working with optional access to a London office, • The chance to work on a technically challenging, AI powered platform with real world impact, • A collaborative environment with low bureaucracy and genuine ownership over your work

Do you have 4+ years of hands-on ML experience and enjoy deploying models into production? Have you worked with GenAI / LLMs and modern ML tooling in real systems? Are you interested in crypto, blockchain, and applying ML to complex on-chain data? A Series B, high-growth SaaS platform delivering institutional-grade blockchain intelligence is hiring a Senior AI/ML Engineer. Often described as the Bloomberg for crypto, the platform helps investors discover opportunities, perform due diligence, and defend portfolios using AI-driven insights. This is a senior, hands-on role for someone strong across data science, applied ML, and cloud deployment, who wants to work in a lean team with real ownership. Why join? You’ll join a small, senior AI/ML team working on core product features such as: • Large-scale wallet labelling and behavioural analysis, • NFT price estimation using ML, • Trading and risk signals built on blockchain data The environment is fast-moving, product-led, and AI-first, with genuine room to shape how ML is applied across the platform. Requirements • 4-7+ years of professional experience in Data Science / ML roles, • Strong data science foundations (EDA, feature engineering, model evaluation, validation), • Hands-on experience with ML models in production, • Cloud & MLOps exposure (GCP preferred; AWS/Azure acceptable), • Experience with GenAI / LLMs (commercial or serious hands-on experimentation), • Strong Python and modern ML tooling (e.g. scikit-learn, XGBoost, TensorFlow or PyTorch), • Clear interest in crypto / blockchain (commercial experience a plus, curiosity required) Responsibilities • Build, train, and improve ML models on large-scale blockchain datasets, • Take models from exploration to production, working closely with engineering, • Apply GenAI / LLM approaches where they add real product value, • Maintain high DS/ML standards across experimentation, monitoring, and iteration, • Contribute to best practices in a lean, senior AI team Key details • Salary: up to ~£135k base + equity (4-year vest, 1-year cliff) + bonus, • Location: Fully remote (UK), • Stack: Python, GCP, ML frameworks, LLM APIs, • Visa: Cannot sponsor, • Team: Senior, small, highly technical If you’re a senior ML engineer with strong DS fundamentals, real deployment experience, and a genuine interest in crypto, this is a high-impact role with a lot of ownership. Interested? Please apply below.

We are seeking a highly skilled Data Scientist / Machine Learning Engineer to Join our client for a 3-month initial contract, with an immediate start. The role is Inside IR35 and offers a competitive day rate of £600–£700 DOE. You will be working on a cutting-edge generative AI project, helping to integrate LLMs into complex, human-driven workflows. This is a remote role, though occasional travel to London, Sheffield, or Manchester may be required. The ideal candidate will have experience preparing data for LLMs and GenAI workloads, with strong technical ability in handling unstructured data and converting manual processes into structured, machine-readable formats. Experience working with secure or sensitive datasets and existing active SC clearance is essential. Key responsibilities include analysing and structuring messy datasets, engineering prompts, designing RAG datasets, and evaluating LLM outputs using a variety of metrics and methods. You will need to contribute independently and collaborate with a team of AI and data experts on fast-paced, high-impact projects. Essential Skills & Experience: Demonstrable passion for coding, data science, and open-source technologies. Active SC clearance and experience handling secure or regulated government data. Proven ability to work independently and deliver high-quality solutions with minimal guidance. Excellent Python skills, including both exploratory scripting and production-ready code. Strong experience with exploratory data analysis and generating actionable insights. • Deep understanding of data preparation for large language models, including:, • Prompt engineering techniques., • Working with embeddings and vector databases, • Designing and optimising Retrieval-Augmented Generation (RAG) datasets., • Evaluation methods such as retrieval scoring, LLM-as-a-judge, and hallucination detection. Ability to transform complex, unstructured data into structured formats suitable for LLM input. Strong skills in data validation, anomaly detection, quality assessment, and documenting assumptions. Clear and concise written and verbal communication skills for sharing technical findings. Familiarity with AWS environments is a plus. Flexibility to adapt to changing project requirements and a proactive mindset. This is an excellent opportunity to work at the forefront of AI adoption in the public sector, making a tangible impact on critical government services. If you're passionate about machine learning, LLM technologies, and working with complex data challenges—this role is for you.

Automation Engineer (Advanced Anti Bot and Captcha Handling) We are looking for an Automation Engineer with deep experience working around complex anti bot environments. This includes understanding how platforms like Cloudflare, DataDome, Akamai, Perimeter, Imperva, reCAPTCHA, and other captcha systems classify and challenge automated traffic. The focus is on building resilient, compliant automation tools that can operate reliably at scale despite these protective layers. This role suits an engineer who enjoys technical puzzles, understands how anti bot systems work internally, and can design automation workflows that remain stable, efficient, and legally compliant. Responsibilities • Building and maintaining high scale crawlers and automation scripts for complex, protected environments., • Designing browser automation that can adapt to anti bot systems such as Cloudflare, DataDome, Akamai, Perimeter, Imperva, and others., • Integrating captcha solving services where appropriate while respecting all legal and ethical guidelines., • Implementing fingerprinting, session handling, and behavioural simulation to improve automation stability., • Building systems that operate reliably under rate limits, behavioural analysis, and risk scoring models., • Monitoring bot detection feedback and refining approaches to improve performance and resilience., • Working with product and engineering teams to refine automation strategy as protection mechanisms change. Qualifications • Strong experience with Python, Node.js, or Go., • Expert level understanding of browser automation frameworks such as Playwright or Puppeteer., • Demonstrable experience working with anti bot environments including WAFs, behavioural scoring, and dynamic challenges., • Understanding of captchas, fingerprinting, traffic shaping, session management, and proxy infrastructure., • Experience designing scalable, distributed automation systems., • A creative, analytical mindset and strong technical ownership. Required Skills • Strong experience with Python, Node.js, or Go., • Expert level understanding of browser automation frameworks such as Playwright or Puppeteer., • Demonstrable experience working with anti bot environments including WAFs, behavioural scoring, and dynamic challenges., • Understanding of captchas, fingerprinting, traffic shaping, session management, and proxy infrastructure., • Experience designing scalable, distributed automation systems., • A creative, analytical mindset and strong technical ownership. Preferred Skills • Experience designing scalable, distributed automation systems., • A creative, analytical mindset and strong technical ownership.

For more than two decades, Orange Logic has empowered a wide range of clients with its digital asset management system, Orange Logic Platform. We’ve worked with almost every industry, from Finance to NGOs, Media giants to educational institutions, securing and organizing their assets. This role will enhance Orange Logic’s software by participating in the design, development, maintenance and testing process. What you can expect in your role: • Designing software architecture for our platform to meet functional requirements as well as security, quality, performance, and ease of maintenance, • Guiding and assisting the development team with an active involvement in the development process, • Obtaining requirement feedback from internal teams/clients to maintain/support the product development, • Supervising testing and deployment, • Performing code reviews on other team member’s work, • Collaborates with distributed teams in France, Vietnam, and the United States You are: • 8+ years’ practical experience on a web-based application, • Proficient with English (both verbal and written), • Proficient with any back-end programming languages (i.e. C#, Java, Python, C++, etc.), • Outstanding knowledge of software and application design and architecture, • Highly analytical mindset, with an ability to see both big picture and the details, • Experience with the database management tool SQL is a plus, but not mandatory Perks of joining the team: • Competitive compensation & benefits package, • Remote Work Environment How to get started: If you’re up for the challenge to be part of a growing engineering team we’d like to hear from you. Apply today! By submitting this application, I certify that all information provided herein is true, accurate, and complete to the best of my knowledge. I understand that any false or misleading information may result in disqualification from consideration or, if discovered after acceptance, may lead to immediate dismissal. Orange Logic is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all our employees. We respect your privacy. Learn more about how we handle applicant data in our ___.

Senior Data Engineer | Remote (UK or Europe) A leading prop trading firm is hiring a Senior Data Engineer to take ownership of their trading and market data infrastructure. Operating globally with connectivity to dozens of exchanges, the firm executes millions of trades daily with data playing a mission-critical role in every aspect of the business. This is a high-impact, high-autonomy role in a lean engineering environment. You’ll design and maintain real-time and historical data systems, power internal analytics tooling, and ensure data quality, reliability, and observability across production systems. Ideal for someone who thrives in fast-paced, trading-led environments where precision and performance are non-negotiable. Key Responsibilities • Build and maintain low-latency distributed data pipelines, • Develop and run real-time time-series data collectors, • Automate monitoring and data quality checks, • Create tools and APIs for data access, • Collaborate with traders and developers on data needs, • Ensure 24/7 pipeline reliability What We’re Looking For • Strong Python and SQL, • Experience with trading/market data in production, • Proven work on real-time, high-volume pipelines, • Familiar with distributed SQL/NoSQL Bonus Skills • Clickhouse and S3/data lakes, • C++ on Linux, • Terraform or similar IaC, • Network protocols and exchange data What’s on Offer • Fully remote role (UK or Europe only), • Flat structure, strong engineering culture, • Competitive base + performance-linked bonus, • Flexible working hours, • Biannual off-sites to meet the global team in person

About Pronetx Pronetx is a cutting-edge consulting firm that specializes in transformative customer experience (CX) solutions powered by AWS. With decades of experience deploying sophisticated CX solutions for industry leaders like Capital One, Social Security Administration, and Hilton, we're known for pushing the boundaries of what's possible in customer experience technology. Job Overview We are seeking a skilled Web Automation Engineer to design, develop, and maintain a robust web automation framework for API and functional testing. The ideal candidate will have hands-on experience in building scalable test frameworks using Playwright and Python, with a strong emphasis on reliability, maintainability, and rapid feedback for CI/CD pipelines. Key Responsibilities • Design, implement, and maintain a scalable web automation framework for API and UI/functional testing, • Develop test strategies, test plans, and automation suites using Playwright (Python) for web applications, • Create reusable, modular page objects and components to maximize test reuse, • Implement API testing strategies (REST/GraphQL) integrated with UI tests where appropriate, • Write clear, maintainable automated tests with robust assertions and meaningful reporting, • Integrate tests with CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, etc.), • Configure test data management, environment handling, and test environment provisioning, • Implement parallel test execution, flaky test handling, retry strategies, and test isolation, • Monitor test results, analyze failures, and provide timely root-cause analysis, • Collaborate with developers, QA, and product teams to ensure quality goals are met, • Document framework usage, coding standards, and onboarding guides, • Stay current with automation tooling trends and propose improvements Required Qualifications • 3+ years of hands-on experience in web automation testing, • Strong proficiency with Playwright (Python) for end-to-end web testing, • Demonstrated experience building automation frameworks from the ground up, • Proficient in Python, with good knowledge of software design patterns, • Experience with API testing (REST/GraphQL) and integrating API tests with UI tests, • Familiarity with test frameworks (pytest, unittest), • Solid understanding of CI/CD integration and test reporting, • Experience with version control (Git) and collaborative workflows, • Strong debugging, troubleshooting, and problem-solving skills, • Excellent written and verbal communication Nice-to-Have: • Xray Test Management for Jira for integrating test plans/results with Jira, • Behavior-Driven Development (BDD) experience and tooling (e.g., Gherkin, Cucumber, Behave) to express acceptance criteria and drive automated tests, • Knowledge of performance testing fundamentals, • Docker and containerized test environments, • Cloud-based test environments and device/browser farms, • Experience with test data management and data-driven testing, • Prior exposure to Agile/Scrum development processes, • Hands-on experience with Cyara / Hammer/ Botium for automated testing and of contact center and IVR/ Chatbot flows. Key Competencies • Automation design and architecture, • Test strategy and planning, • Code quality and maintainability, • Debugging and problem solving, • Collaboration and teamwork, • Continuous learning mindset Why Pronetx? Join a team of thought leaders who have shaped the evolution of cloud-based customer experience solutions. You’ll work on innovative projects implementing next-generation technologies while having the opportunity to influence the future of customer experience technology. Our collaborative culture encourages pushing boundaries while ensuring practical, scalable solutions for our clients Compensation & Benefits • Competitive salary commensurate with experience, • Health, dental, and vision insurance, • Professional development budget, • Fully remote work environment Equal Opportunity Employer: Pronetx is committed to creating an inclusive environment where all team members can thrive, regardless of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status

About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Job Overview: We are looking for a highly skilled Simulation Asset & Environment Specialist for an immediate project contract - initial duration will be 2 months with potential to extend beyond. This is a high-impact role bridging the gap between 3D art and Robotics Engineering. You will be responsible for transforming raw 3D models into fully functional, "simulation-ready" assets for NVIDIA Isaac Sim. This is not a pure modelling role; it requires a deep technical understanding of USD structures, physics properties (colliders, mass, friction), and Python scripting for automation. Key Responsibilities: • Asset Prep: Ingest 3D models (USD, FBX, OBJ) and configure them for perception tasks (semantic labelling) and physics interaction (collision geometry, articulation)., • Environment Assembly: Build and validate simulation scenes, ensuring performance optimization (LODs, proxy meshes) and physics determinism., • Pipeline & Logic: Use Python & OmniKit to write behaviour scripts and document the workflow for future scalability. Must-Have Qualifications: • NVIDIA Isaac Sim & Omniverse: Deep familiarity with the interface and toolset., • USD (Universal Scene Description): Strong understanding of layering, variants, and composition arcs., • Physics Simulation: Experience creating convex decomposition colliders, setting joint articulation, and tuning material properties., • Python Scripting: Ability to write scripts for Isaac Sim extensions or asset automation., • 3D DCC Tools: Proficiency in Blender, Maya, or Max for basic geometry adjustment. Contract Details: • Time Commitment: 20-40 hours per week, • Project Duration: Initially 2 months - extendable by mutual agreement, • Start Date: Immediate, • Location: Remote Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at ___, and earn money from your network.

Location: Bristol, Cambridge, London, Manchester Position Summary Connect to your Industry Do you want to be at the heart of some of the biggest and most ambitious programmes undertaken to keep our country safe? We are proud of the impact we have with our Defence & Security clients, the strength of our relationships, and the variety of our skills and expertise that we bring to help them achieve their mission. We’re growing our teams across all of Technology & Transformation. If you are cleared to DV level, and want to grow your career in this sector, we are very keen to hear from you. Connect to your career We drive progress. Using our vast range of expertise, we help our clients become leaders wherever they choose to compete. To do this, we invest in outstanding people. We build teams of future thinkers, with diverse talents and backgrounds, and empower them all to reach for and achieve more. What brings us all together? It’s how we approach the thousands of decisions we make every day. How we behave, our beliefs and our attitudes. In other words: our values. Whatever we do, wherever we are in the world, we lead the way, serve with integrity, take care of each other, foster inclusion, and collaborate for measurable impact. These five shared values guide every decision we make and action we take, helping us deliver impact where it matters most. Connect to your opportunity We're looking for people who are natural initiative-takers—individuals who bring out the best in others, are brilliant listeners, and can help grow our business without compromising standards, integrity, or culture. We are seeking a highly skilled and motivated Full Stack Developer to join our dynamic team in the public sector. The ideal candidate will possess a strong background in both front-end and back-end development, with a focus on creating innovative and efficient solutions for government-related projects. The successful candidate will play a key role in designing, implementing, and maintaining web applications that address the unique challenges and requirements of Defence & Security. Responsibilities: • Design, develop, and deploy robust web applications for public sector projects., • Contribute to the entire software development lifecycle in collaboration with cross-functional teams., • Create responsive user interfaces using modern front-end technologies and frameworks., • Develop secure and efficient server-side logic using relevant languages and frameworks., • Implement security best practices, ensuring compliance with government regulations., • Conduct regular security assessments and collaborate to address vulnerabilities., • Develop and maintain well-documented RESTful APIs for seamless system communication., • Work with project managers, UX/UI designers, and stakeholders to translate requirements into technical specifications. All applicants must hold (or be willing to obtain) UK security clearance to Developed Vetting (DV) level. Essential skills: • Proficient in modern front-end technologies: HTML5, CSS3, JavaScript, and frameworks like React, Angular, or Vue.js., • Strong skills in server-side logic using languages such as Node.js, Python, or Java., • Experience with both SQL and NoSQL databases, including data modelling for government applications., • Proficient in analyzing complex issues and implementing effective solutions for public sector challenges., • Flexibility to navigate changing project requirements in a dynamic public sector environment., • Familiarity with government processes, policies, and systems, enhancing the ability to tailor solutions to public sector needs., • Understanding of UX principles to create applications that are accessible and user-friendly for government officials and the public., • Proven ability to develop and maintain well-documented RESTful APIs for seamless system communication., • Experience with implementing and adhering to security best practices for government data.

ENGINEERING MANAGER LONDON OR MANCHESTER £80,000 - £110000 THE COMPANY This UK-based SaaS scale-up is on a mission to protect advertisers’ digital spend by detecting and blocking invalid or low-value clicks. Using machine learning and real-time behavioral analytics, they help agencies and large advertisers improve ROI and reduce waste—all while being cookieless and privacy-compliant. With £15M in Series A funding and integrations with major ad platforms, this is your chance to lead a high-impact engineering team in a fast-growing, data-driven environment. THE ROLE As an Engineering Manager, you’ll lead a team of 4 engineers while staying 50–60% hands-on with coding and architecture. You’ll own the technical direction of the Platform Team, working with real ML datasets, Rubix data, and large-scale ad traffic analytics. This role is about balancing leadership with deep technical contribution—you’ll review pull requests, write POCs, guide architectural decisions, and deploy to production twice a week. Specifically, you can expect to be involved in the following: • Technical tasks: Building features for the Data Science team, launching new ML models, and improving real-time traffic tracking., • Leadership tasks: Mentoring engineers, refining engineering processes, and collaborating with Product, Data Science, and the CPO to drive innovation. SKILLS AND EXPERIENCE The successful Engineering Manager will have the following skills and experience: • 5+ years of Python engineering experience, with a focus on big data, ML, or adtech., • Proven leadership experience managing 2+ engineers—this is not a pure management role; you must remain hands-on., • Strong full-stack fundamentals: Python (essential), JavaScript/TypeScript/React (understanding required, even if not writing it daily)., • Experience with large-scale datasets, AWS (Redshift is a bonus), or other cloud platforms (GCP/Azure)., • Familiarity with ad platforms (Meta Marketing API, Google Ads API) is a huge plus., • A computer science/STEM degree is preferred, but strong self-taught candidates will be considered., • Thrives in fast-paced, high-autonomy environments—stable tenure and a proactive mindset are key. BENEFITS The successful Engineering Manager will receive the following benefits: • £80,000–£110,000 salary (depending on location and experience), • Hybrid working policy: 2 days/week in-office (London/Manchester), • High-impact work: Shape the future of ad fraud detection and optimization., • Fast growth: Join a scale-up with a clear trajectory and work with cutting-edge ML and big data., • Twice-weekly production deployments: See your work make an immediate difference. HOW TO APPLY Please register your interest by sending your resume/CV to Joana Alves via the Apply link on this page.

Job Title: Junior Python Developer Location: UK Experience: 2–5 years Education: Master's in Science (IT/Computer Science/Engineer) Employment Type: Full-Time UK based candidates only. Looking for candidates with Master's Degree Only What are we looking for? Here at Information Tech Consultants Ltd (ITC) we are providing a unique opportunity for entry level Data Scientists to utilize our skills and expertise to become successful experienced Data Scientist, working with several highly recognized UK and International companies including multiple Fortune 500 and FTSE 100 Clients. You will provide professional consulting services working onsite for start-ups, medium and large sized companies. You will be working on large complex projects so you should be comfortable dealing with demanding stakeholders and providing time driven results. Innovation, Collaboration and Passion are the three core values that we look for in all our personnel. Who are we looking for: Applicants must be experienced working with the following: Essential Skills : · Machine Learning · SQL Server · Knowledge of Data analysis/Mining/Warehousing · Statistical Analysis · Linear Regression · Database Desired Skills : Experience with any of the following: · Python · Hadoop · R · Java/C++ Qualifications and Attitude: • Master’s (Required) in Data Science, Mathematics, Statistics, Economics, IT related fields and 2- 5 years of experience in Information Technology., • You should be entitled to work in the UK with legal work authorization status., • Must be willing to travel within the UK as per project/client requirements., • Excellent communication skills and teamwork skills.

Location • Remote, but requirement to meet up once a month for in-person collaboration day, • UK based About Akixi Akixi is a leading provider of SaaS analytics solutions for cloud-based communication platforms, helping service providers and enterprises gain actionable insights from their telephony and collaboration data. Our solutions span Microsoft Teams, Cisco BroadWorks, Webex Calling, and CRM integrations — delivering real-time and historical analytics that improve customer experience and business performance. We are expanding our platform to include advanced AI capabilities — voice and chat assistants, intelligent analytics, and predictive insights — and are seeking an AI Engineering Lead to define and deliver this vision. Job Summary & Purpose Own and drive Akixi’s AI and ML strategy — from concept and architecture through hands-on prototyping and deployment — to embed intelligence into Akixi’s products and analytics platforms. As the AI Engineering Lead, you will define and execute Akixi’s AI roadmap, combining leadership of architecture and engineering practice with hands-on development of prototypes and production features. You’ll partner with Product, Data, and Platform Engineering to design and integrate AI-driven capabilities such as voice/chatbots, natural-language analytics, and predictive models. This role balances strategic technical direction with hands-on implementation, ensuring Akixi’s AI initiatives deliver tangible business and customer outcomes. Key Responsibilities • Lead the definition and delivery of Akixi’s AI strategy and technology roadmap., • Architect scalable AI solutions integrated into Akixi’s SaaS analytics platform., • Prototype, develop, and integrate AI-driven components such as chatbots, voice assistants, ML models, and LLM-based analytics., • Apply prompt engineering and model-tuning techniques to optimize chatbot and LLM behaviour., • Conduct research, proof-of-concepts, and feasibility studies for emerging AI technologies., • Collaborate with Product Management to scope AI features and align them with business goals., • Partner with Data Engineering to operationalize models, manage training data, and implement monitoring and retraining pipelines., • Work closely with Development, DevOps, and QA teams to ensure smooth CI/CD integration and deployment of AI components., • Establish standards for AI code quality, ethics, and data governance., • Mentor engineers working on AI-related projects, fostering technical excellence and innovation., • Evaluate external AI vendors, tools, and frameworks for adoption or integration., • Stay ahead of developments in AI/ML, LLMs, and applied analytics, translating trends into practical opportunities for Akixi. Required Skills & Experience • 7+ years in software engineering, with at least 3+ years focused on AI/ML or data-driven product development., • Proven expertise in developing and integrating AI solutions such as chatbots, voicebots, ML models, or LLM-based analytics., • Strong proficiency in Python (preferred) and/or JavaScript/TypeScript., • Hands-on experience with AI frameworks (TensorFlow, PyTorch, LangChain) and LLM APIs (Azure OpenAI, OpenAI API, Anthropic, AWS Bedrock)., • Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms., • Deep understanding of prompt engineering and fine-tuning of large language models., • Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning., • Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI)., • Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS)., • Ability to design data pipelines, APIs, and microservice integrations supporting AI features., • Excellent problem-solving, communication, and cross-team collaboration skills., • Proven ability to lead technically while remaining hands-on in design and coding. Desirable Skills & Experience • Experience with call/contact-centre analytics, Microsoft Teams Graph API, or telephony platforms (BroadWorks, Webex Calling)., • Knowledge of data governance, model ethics, and MLOps practices., • Exposure to data visualization and predictive analytics for customer-experience metrics., • Advanced degree in AI, ML, Data Science, or related discipline., • ISTQB AI Testing or equivalent certification. Why Akixi At Akixi, you’ll play a pivotal role in transforming how businesses understand and act on communication data. You’ll define and deliver the intelligence layer of a platform used by thousands worldwide — in an environment that values innovation, experimentation, and technical depth. We offer a collaborative culture, hybrid flexibility, and the opportunity to lead meaningful, high-impact AI initiatives from vision to production.

About Us: Intezer is a leading provider of AI-powered technology for autonomous security operations. With a focus on innovation and quality, its Autonomous SOC Platform is designed to investigate incidents, make triage decisions, and escalate findings about serious threats like an expert Tier 1 SOC analyst (but without the burnout, skill gaps, and alert fatigue). Job Description: The Pre-Sales Engineer will be providing our customers with technical expertise and professional services to make sure they are meeting their objectives. They are a key component of our company’s success, working together with customers, partners, and their Intezer colleagues. Responsibilities: • Work with Sales Team and conduct a success POC, responsible for the POC process and management, • Understand each customer’s security process and make recommendations based on Intezer’s solution and best practices, • Customer ongoing communication – proactively reaching out to our customers and ensuring maximum utilization of our solution, while keeping their satisfaction levels up, • Establish highly effective relationships with senior executives and key decision-makers to ensure a close and successful long-term business relationship, • New customer onboarding – work with our new customers to design, deploy, configure and integrate Intezer solution in their environment and workflows, • Customer services – assist customers with their product questions and issues, and work with the Intezer teams to resolve the issues and answer questions, • Identify up-sell opportunities and communicate potential risks that would threaten renewals, • Pre Sales and/or Customer success experiences, • Experience in customer-facing roles, • Experience as a Security Incident Responder or SOC analyst/manager, • Linux system administration & troubleshooting experience, • Excellent verbal and written English language skills. Additional language - a plus, • Lead Cross-functionally - Collaborate with internal teams to drive alignment, understand customer perceptions and partner together to exceed customer expectations, • Work closely with Product and Professional Service teams to track optimization requests, best practices/technical recommendations and ensure account issues are resolved quickly

Job Title: Data Scientist/Machine Learning Engineer Location: UK Experience: 2–5 years Education: Master's in Science (IT/Computer Science/Engineer) Employment Type: Full-Time UK based candidates only. Looking for candidates with Master's Degree Only What are we looking for? Here at Information Tech Consultants Ltd (ITC) we are providing a unique opportunity for entry level Data Scientists to utilize our skills and expertise to become successful experienced Data Scientist, working with several highly recognized UK and International companies including multiple Fortune 500 and FTSE 100 Clients. You will provide professional consulting services working onsite for start-ups, medium and large sized companies. You will be working on large complex projects so you should be comfortable dealing with demanding stakeholders and providing time driven results. Innovation, Collaboration and Passion are the three core values that we look for in all our personnel. Who are we looking for: Applicants must be experienced working with the following: Essential Skills : · Machine Learning · SQL Server · Knowledge of Data analysis/Mining/Warehousing · Statistical Analysis · Linear Regression · Database Desired Skills : Experience with any of the following: · Python · Hadoop · R · Java/C++ Qualifications and Attitude: • Master’s (Required) in Data Science, Mathematics, Statistics, Economics, IT related fields and 2- 5 years of experience in Information Technology., • You should be entitled to work in the UK with legal work authorization status., • Must be willing to travel within the UK as per project/client requirements., • Excellent communication skills and teamwork skills.

Software Engineer (Contract) – Python / FastAPI 6 Month Contract - Fully Remote Daily Rate: £500 Outside IR35 Contact: We’re looking for experienced AWS Software Engineer (contractors) to join an established platform engineering team and help take a proof-of-concept Identity & Access Management (IAM) system into production. This is a hands-on engineering role suited to senior Python developers who enjoy building production systems from the ground up and working independently on application development, while collaborating closely with a wider AWS platform team. What you’ll be working on • Building a FastAPI-based headless service to manage REST APIs for user and group IAM relationships in AWS, • Designing and delivering a technical audit service for the IAM system, • Supporting the IAM syncing solution to meet production standards, • Implementing robust QA and testing strategies, • Ensuring non-functional requirements are met (scalability, performance, reliability), • Contributing strong software engineering skills to complement the existing platform team Core requirements • 5+ years of hands-on Python development, • Production experience with FastAPI, Django, or Flask (FastAPI preferred), • Strong experience building RESTful APIs, • Experience with relational and non-relational databases, • Proven experience building applications from scratch and taking them to production, • Experience supporting production systems handling high traffic AWS & cloud experience • 5+ years of AWS (or equivalent cloud) experience, • Strong understanding of distributed systems architecture, • Experience with serverless technologies, • Solid knowledge of asynchronous programming models, • Familiarity with Terraform concepts (writing not required) DevOps & delivery • Experience deploying applications via CI/CD pipelines (e.g. GitLab), • Comfortable taking systems live and maintaining production services

Data QA Engineer | New Contract Opportunity! I’m hiring a Data QA Engineer to work on a project for one of our global consultancy clients ☺️ ➡️ Requirements • SQL, • Python, • Data migration testing, • BONUS: Databricks and Amazon Redshift ➡️ Contract Details: • Visa sponsorship is not available., • Up to £735 per day., • Remote, rare travel to UK based client office., • 3 month contract initially., • Inside IR35 via Umbrella. If this sounds like you, please apply or send your CV directly to ☘️

AWS Software Engineer (Contract) – Python / FastAPI 6 Month Contract - Fully Remote Daily Rate: £500 Outside IR35 Contact: We’re looking for experienced AWS Software Engineers (contractors) to join an established platform engineering team and help take a proof-of-concept Identity & Access Management (IAM) system into production. This is a hands-on engineering role suited to senior Python developers who enjoy building production systems from the ground up and working independently on application development, while collaborating closely with a wider AWS platform team. What you’ll be working on • Building a FastAPI-based headless service to manage REST APIs for user and group IAM relationships in AWS, • Designing and delivering a technical audit service for the IAM system, • Supporting the IAM syncing solution to meet production standards, • Implementing robust QA and testing strategies, • Ensuring non-functional requirements are met (scalability, performance, reliability), • Contributing strong software engineering skills to complement the existing platform team Core requirements • 5+ years of hands-on Python development, • Production experience with FastAPI, Django, or Flask (FastAPI preferred), • Strong experience building RESTful APIs, • Experience with relational and non-relational databases, • Proven experience building applications from scratch and taking them to production, • Experience supporting production systems handling high traffic AWS & cloud experience • 5+ years of AWS (or equivalent cloud) experience, • Strong understanding of distributed systems architecture, • Experience with serverless technologies, • Solid knowledge of asynchronous programming models, • Familiarity with Terraform concepts (writing not required) DevOps & delivery • Experience deploying applications via CI/CD pipelines (e.g. GitLab), • Comfortable taking systems live and maintaining production services

👋 About Renude Renude builds AI-powered software for the beauty industry, helping brands deliver personalised, expertise-focused customer support through intelligent digital agents. Our technology powers e-commerce experiences including: skin analysis, product recommendation and LLM-based chat. We’ve been awarded by CEW, Beauty Innovation Awards, Tech Nation and more, and have raised over $3M from leading tech investors. Our team combines tech, formulation, dermatology, e-commerce and sales expertise. We’re looking for a mid-senior (4+ years experience) Machine Learning Engineer to help design, build, and scale our production ML systems with ownership from experimentation through to deployment. You’ll work end to end on LLM-powered conversational agents and support the training, optimisation, and deployment of computer vision models that power real customer interactions. 🔧 What We Offer • Train, evaluate and deploy agentic AI systems and computer vision models for real-world use, • Collaborate with product and engineering to integrate ML systems into user-facing features, • Develop and deploy production-quality machine learning frameworks, while maintaining robust MLOps pipelines, • Stay up-to-date with the latest advancements in AI, conduct research, and explore innovative techniques, • Influence key decisions on architecture and implementation of scalable, reliable, and cost-effective engineering solutions ✅ What We're Looking For Must-Haves: • 4+ years experience writing production ready code for machine learning systems, • 2+ years experience developing conversational AI, RAG, agentic systems or LLM-based products, • Familiarity with RAG orchestration frameworks such as LangChain or LlamaIndex.2+, • Experience with production optimisation for RAG systems, including latency, token cost control, context window constraints, monitoring and prompt versioning, • Strong Python skills and experience with PyTorch, TensorFlow or Keras, • Exposure to MLOps practices and hands-on experience with Sagemaker and/or Vertex AI, • Bachelor's degree in a technical field such as computer science or years of equivalent experience, • Comfortable working autonomously and taking ownership in a fast-moving, remote, startup environment Nice-to-Haves: • Masters or advanced degree in artificial intelligence, machine learning, natural language processing, computer vision, or related field, • 2+ years experience training and optimising computer vision models, • Proficiency working with vector stores, data chunking, embeddings, retrieval, ranking and recommendation systems, • Experience with Django or similar Python web frameworks, • Familiarity with Docker and containerised development, • Exposure to CI/CD pipelines and infrastructure-as-code 🌱 What We Offer • Competitive compensation (based on experience and location), • Remote-friendly culture with flexible working hours, • Opportunity to work with cutting edge technologies, • High ownership and real technical influence, • A supportive team that values product excellence and personal growth

Head of Data Science If you’re looking for a role where you architect the technical direction of a data organisation from the ground up — setting standards, priorities, and culture — this is a rare opportunity to do exactly that. Xcede is working with a venture-backed technology company building large-scale decision intelligence systems for regulated, data-intensive industries. Their platform sits at the intersection of advanced analytics, automation, and risk-sensitive decision-making, supporting organisations that rely on complex data to operate accurately and responsibly. They are now hiring a Head of Data Science to lead the evolution of their analytical capabilities as the business scales. This role combines deep technical judgement with leadership responsibility, owning how data science is applied across products, internal decision-making, and long-term technical strategy. You’ll be responsible for defining how modelling, experimentation, and evaluation are carried out across the organisation — from selecting appropriate statistical approaches to ensuring analytical outputs are robust, interpretable, and production-ready. Alongside this, you’ll guide how data science integrates with engineering, product development, and customer-facing use cases. Working closely with senior leadership and platform architects, you’ll balance hands-on technical oversight with forward-looking planning. Your work will directly influence system reliability, analytical credibility, and the company’s ability to operate confidently in complex, high-impact environments. Requirements • A strong academic background in a quantitative, technical, or scientific discipline, • Extensive experience operating at senior or leadership level within data science or applied analytics teams, • Advanced proficiency in Python and modern data science tooling, • Proven ability to design and govern analytical standards across multiple projects or teams, • Comfortable working in evolving problem spaces while providing clarity and direction for others, • Strong communication skills, able to explain technical reasoning to a wide range of stakeholders, • A collaborative leadership style combined with clear accountability for outcomes, • Strong systems thinking, connecting analytical decisions to operational and business impact, • Motivated by building data-driven systems that influence real-world decisions at scale If you are interested in this role or other senior data leadership opportunities, please contact Gilad Sabari — | 02074226861

Enable VIC: The Intelligence Layer for Luxury Travel Enable VIC is building the world’s first AI-powered intelligence platform for luxury travel management. We are transforming how elite lifestyle managers serve ultra-high-net-worth clients by creating a unified system that ingests, validates, and surfaces critical travel intelligence—from complex partnership commissions to personalized client preferences. We are solving a high-stakes data orchestration problem where accuracy is the foundation of reputation. We are looking for a Founding Engineer to co-architect the backbone of this platform. The Problems You’ll Solve • High-Fidelity Extraction: Build resilient pipelines to transform unstructured data (PDFs, contracts, emails) into a structured, high-accuracy registry using LLMs., • Personalization Engine: Develop logic to map complex "VIC" (Very Important Client) profiles against property attributes to surface hyper-relevant travel recommendations., • Intelligent Drafting: Build tools that assist managers in drafting complex itineraries, leveraging RAG to ensure every recommendation is backed by real-time perks and partnership data., • System Orchestration: Design reliable, async environments for LLM tasks, ensuring source traceability and 99%+ data reliability across 600+ travel-specific data points., • Phase 1: Audit the MVP, stabilize core patterns, and establish a scalable architectural roadmap., • Phase 2: Move from a functional prototype to a production-grade system capable of handling 10x data volume without regression., • Founding Mindset: 5+ years of experience building production-grade systems. You enjoy the 0→1 phase and take extreme ownership of the "how.", • AI/LLM Pragmatism: You’ve shipped LLM features to production. You understand prompt engineering, structured outputs, and the challenges of non-deterministic systems., • Full-Stack Depth: Strong in at least one backend language (Python, Node.js, Go) with deep knowledge of database design, schema evolution, and indexing. Why Enable VIC? • Real Influence: You aren't inheriting a legacy; you are building the foundation., • Complex Challenges: We are building the "Bloomberg Terminal for Luxury Travel"—a mix of high-speed data and high-touch personalization., • Direct Impact: Your work directly empowers advisors managing the world’s most complex travel itineraries.

Job Title: Senior Verification Engineer – RF/DSP Job Description: We are seeking a Senior Verification Engineer with strong expertise in RF/DSP signal-chain verification. The role focuses on driving end-to-end verification of complex DSP and RF blocks using UVM-based methodologies and advanced verification techniques. You will work closely with design and algorithm teams to validate signal-processing functionality and ensure high-quality silicon. Key Responsibilities: • Lead verification of RF/DSP signal-chain blocks using UVM, • Develop and maintain UVM testbenches and integrate VIPs, • Verify DSP algorithms such as FFT, FIR filters, and channelizers, • Create Python-based verification utilities and support CI/CD flows, • Strong hands-on experience with UVM and SystemVerilog, • Proven DSP verification experience (FFT, FIR, channelizers), • Proficiency in Python scripting and CI/CD environments, • MATLAB experience for algorithm modeling and validation

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

Data Scientist | Fully Remote | Health and Wellbeing We’re hiring an Data Scientist to help build and ship ML and LLM features in a regulated environment with sensitive data. You’ll work with engineering to move models from idea to production. Tech Stack: Python, scikit-learn, PyTorch, TensorFlow/Keras, LangChain, Pydantic, Spark, Kafka, Databricks, MLflow, Azure, Docker, Kubernetes. Salary: Up to £100k Working Environment: Fully Remote in UK What you’ll do • Research, prototype, and deploy LLM use cases (Q&A, summarisation, document processing), • Build and tune models using scikit-learn, PyTorch, TensorFlow/Keras, and XGBoost, • Create data pipelines for batch and streaming with Spark and Kafka, • Use Databricks and MLflow for experiments, deployment, and monitoring What you’ll bring • Hands-on Python for data science and ML, • Practical experience with LLM frameworks (e.g. LangChain), • Familiar with Spark/Kafka and End-to-end pipeline experience, • Databricks, MLflow, Docker, Kubernetes, • Clear communication with technical and non-technical stakeholders If you are interested apply below or email me directly

Are you a network engineer who’s moved beyond manual configuration and wants to build scalable, automated, software-driven networks? This Network Automation Engineer role is built for someone who enjoys solving complex networking problems through code, automation, and modern delivery pipelines. You’ll work in a consultative capacity, designing and delivering automation solutions for customers operating large, sophisticated network environments. If you’re comfortable working independently, enjoy autonomy, and want to apply deep networking expertise through Python, Terraform, and CI/CD - this is a genuinely grown-up, engineering-led role. 🚀 What You’ll Be Doing • Designing and delivering network automation solutions in a consultative, customer-facing capacity, • Translating traditional networking requirements into automated, repeatable workflows, • Building and maintaining automation using Python and Terraform, • Integrating automation into CI/CD pipelines for consistent, reliable network delivery, • Automating configuration, provisioning, and lifecycle management across Cisco-based networks, • Working extensively with REST APIs to interact with network and platform services, • Supporting cloud and containerised deployments, including Kubernetes-based environments, • Applying deep routing knowledge to automate complex network architectures, • Working independently in a fully remote setup, owning delivery from design through implementation, • Collaborating with customers and internal teams to drive adoption of automation best practices 🧠 What We’re Looking For • Strong experience in network automation and engineering roles, • Proven hands-on automation and scripting capability using:, • Python, • Terraform, • CI/CD tooling and pipelines, • Deep understanding of IP routing and service provider / large-scale network technologies, including: BGP, IS-IS, MPLS, L3VPN, L2VPN, & mVPN, • Solid understanding of REST API concepts (GET, POST, PUT, DELETE, etc.), • Experience working with Kubernetes and modern cloud deployment technologies, • Strong Cisco or Juniper networking background, • Ability to operate autonomously with minimal supervision in a remote environment, • Clear communicator who can engage customers in a consultative, solutions-led manner 💡 Why This Role? • Fully remote role with UK-wide flexibility, • High-impact work automating complex, large-scale networks, • Strong focus on engineering quality and modern network practices, • Exposure to cloud-native and containerised networking environments, • A role built around trust, autonomy, and technical depth 📩 Interested? If you’re a Network Automation Engineer with deep routing knowledge and a passion for building automated, programmable networks, I’d love to have a confidential conversation.

About TriloDocs TriloDocs is a growing company at the intersection of technology and life sciences. We help pharma and healthcare organizations transform scientific data into clear, structured documents. Our team is passionate about creating intuitive, reliable tools that make a real difference. The Role We're looking for a Mid-Level to Senior Python Developer with a strong STEM background — someone who can not only write clean, effective code but also understand and work with scientific tables and datasets. You’ll contribute to the design and development of scalable, secure software solutions, and collaborate closely with other developers, product managers, and domain experts. Responsibilities • Write clean, maintainable Python code., • Build and improve backend systems and APIs., • Work with structured scientific and clinical data., • Participate in code reviews, testing, and documentation., • Collaborate in Agile teams using Scrum or Kanban., • Stay up-to-date with best practices and emerging technologies. Qualifications • At least 2 years of experience as a developer in a B2B environment., • Bachelor's or Master's degree in a STEM field., • Solid understanding of Python fundamentals., • Understanding of software development life cycle and Agile methodologies., • Excellent analytical and problem-solving skills with attention to detail., • Effective communication and collaboration skills., • Ability to work independently and as part of a team., • Knowledge of the Pharma or healthcare industry is a plus. What we offer • A chance to join a driven team making a real-world impact., • Flexible, remote-first work environment., • A startup environment with global reach — based in London but working across borders., • Flat hierarchies and direct communication.

Location: Cheltenham, Gloucester Area INTRODUCTION We are looking to hire a skilled Software Developer to join our dynamic and innovative team. As a Software Developer, you will be responsible for designing, implementing, and maintaining high-performance, scalable software solutions using Python and related technologies. You will collaborate closely with cross-functional teams to develop and deploy robust web applications, leveraging your expertise in Flask, MongoDB, HTML, CSS, Bootstrap, JavaScript, RESTful services, Docker, AWS, Jenkins, and Git. RESPONSIBILITIES • Design, develop, and maintain Python-based web applications using the Flask framework., • Implement efficient data storage solutions using MongoDB., • Create responsive and visually appealing user interfaces using HTML, CSS, and Bootstrap., • Enhance user experience through dynamic client-side scripting with JavaScript., • Develop and integrate RESTful services to support seamless communication between frontend and backend systems., • Containerise applications using Docker for streamlined deployment and scalability., • Deploy and manage applications on AWS cloud infrastructure., • Implement continuous integration and continuous deployment (CI/CD) pipelines using Jenkins., • Collaborate with cross-functional teams to understand requirements and translate them into technical solutions., • Ensure code quality, performance, and security through rigorous testing and code reviews., • Utilise version control systems, particularly Git, for managing the codebase and collaboration. EXPERIENCE / REQUIREMENTS • Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent work experience)., • Proven experience (1.5 years) as a Python Developer, with a focus on web development., • Proficiency in the Flask framework and MongoDB database design and management., • Strong understanding of web technologies including HTML, CSS, Bootstrap, and JavaScript., • Experience building and consuming RESTful APIs., • Familiarity with containerisation technologies such as Docker., • Hands-on experience with cloud platforms, particularly AWS., • Knowledge of CI/CD tools such as Jenkins for automated deployments., • Solid understanding of version control systems, particularly Git., • Excellent problem-solving and analytical skills., • Strong communication and collaboration abilities. ADDITIONAL REQUIREMENTS • Occasional UK travel may be required to attend team or customer meetings, events, and training activities., • Flexible working arrangements are available; however, there is value placed on teams being co-located in offices. Applicants are encouraged to discuss what may be possible during the application stage.

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

QAD Inc. is a leading provider of adaptive, cloud-based enterprise software and services for global manufacturing companies. Global manufacturers face ever-increasing disruption caused by technology-driven innovation and changing consumer preferences. In order to survive and thrive, manufacturers must be able to innovate and change business models at unprecedented rates of speed. QAD calls these companies Adaptive Manufacturing Enterprises. QAD solutions help customers in the automotive, life sciences, packaging, consumer products, food and beverage, high tech and industrial manufacturing industries rapidly adapt to change and innovate for competitive advantage. We are looking for talented individuals who want to join us on our mission to help solve relevant real-world problems in manufacturing and the supply chain. This role is fully remote in UK, with full work authorization already in effect. No Visa sponsorship is available. Job Description In a data-driven and AI-oriented environment, you will be responsible for the design, industrialization, and optimization of inter-application data pipelines. You will be involved in the entire data chain, from data ingestion to its use by data science teams and AI systems in production within a human-sized and multidisciplinary team. This role is within Process Intelligence (PI) team that combines functions such as Process Mining, Real Time Monitoring and Predictive AI Key responsibilities: • Design and maintain scalable data pipelines., • Structure, transform, and optimize data in Snowflake., • Implement multi-source ETL/ELT flows (ERP, APIs, files)., • Leverage the AWS environment, including S3, IAM, and various data services., • Prepare data for Data Science teams and integrate AI/ML models into production., • Ensure data quality, security, and governance., • Provide input on data architecture. Qualifications • 5+ years of experience in data engineering, including significant experience in a cloud environment., • Snowflake (MUST HAVE): Expertise in modeling, query optimization, cost management, and security., • AWS: Strong knowledge of data and cloud services including S3, IAM, Glue, and Lambda., • Languages: Advanced SQL and Python for data manipulation, automation, and ML integration., • Data Engineering: Proven experience in ETL/ELT pipeline design., • AI/ML Integration: Ability to prepare data for model training and deploy AI models into production workflows (batch or real-time). Nice to Have: • Experience with agentic AI architectures, including agent orchestration and decision loops., • Integration of agent-driven AI models into existing data pipelines., • Knowledge of modern architectures such as Lakehouse or Data Mesh.

Location: 1 day remote + 1 day on-site in London Contract: Freelance, approx. 3-month rolling project Reports to: Technical Lead Rate: £250 - £350 per day Start: ASAP Intro We’re looking for an experienced Senior Developer to join us on a short-term freelance basis, working directly on-site with our London-based clients two days a week. We’re looking for a self-motivated Senior Developer who’s confident in client-facing environments, able to advocate for the best use of their time, and skilled in shaping tasks as well as delivering work autonomously. You’ll help bring high-impact ecommerce projects to life, turning design concepts into fast, accessible and beautiful experiences that perform flawlessly. About UWP We’re Underwaterpistol, a creative and technical ecommerce agency built for brands that want to stand out. We design, build and grow Shopify Plus stores that deliver measurable results, blending creative thinking with technical precision. Our developers care deeply about quality, detail, and craft and we’re looking for someone who shares that mindset. This role involves working closely with our clients on-site, acting as a trusted technical partner. You’ll be responsible for shaping your workload, managing priorities directly with client teams as their primary solo developer and representing UWP with confidence and clarity. Role Overview As a Senior Developer, you’ll lead the build and implementation of front-end features, ensuring clean, reusable code and seamless collaboration with designers and strategists. You’ll be hands-on in translating UI/UX concepts into working digital experiences, maintaining our high standards for accessibility, performance, and maintainability. You’ll need to be comfortable working independently, shaping tasks proactively, and advocating for the most effective use of development time in a client-facing setting. Key Responsibilities • Build out design comps accurately and efficiently., • Write structured, well-organised, reusable code., • Inspect, debug, and troubleshoot bugs and QA issues., • Ensure the technical feasibility of UI/UX designs., • Collaborate closely with other team members and stakeholders., • Lead on assigned development projects, making technical recommendations, flagging risks, and supporting other developers when needed., • Help uphold and refine UWP’s development standards and best practices., • Contribute to internal policies, documentation, and component frameworks., • Communicate progress clearly with project and delivery teams, ensuring visibility on timelines and blockers. Skills and Experience Essential • Experience with Shopify, • Strong proficiency with HTML5, CSS3, and Vanilla JavaScript., • Experience working with Liquid (Shopify)., • Understanding of LESS and SASS pre-processing., • Strong grasp of cross-browser compatibility and responsive development., • Proficiency with Git (or similar version control)., • Understanding of SEO and UX best practices., • Excellent attention to detail and a good eye for design., • Strong communication and documentation skills., • Portfolio of live projects demonstrating your work. Nice to Have • Experience with Gadget, • Familiarity with JavaScript frameworks (React, Vue, Angular)., • Experience with Node.js, Python, Ruby, or PHP.

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

ABOUT US ___, part of Capgemini, tackles the hardest work in data for the world’s largest organizations. We combine intelligent software with deep data expertise to help the Fortune2000 tackle complex data challenges and drive measurable business outcomes with business-ready data. Syniti’s Data First strategy transforms data from an afterthought into a strategic asset—unlocking insights, reducing risk, and fueling growth. With over 5,000 successful projects, we support the full data lifecycle through a unified platform for migration, quality, replication, matching, master data management, analytics, governance, and strategy. Operating globally across industries, Syniti’s award-winning software, expert consultants give enterprises a unique edge in managing and maximizing their data. Syniti’s cloud-native platform sets new standards in enterprise data management, combining powerful SaaS solutions with deep domain expertise. Designed for agility and scale, our technology helps customers accelerate digital transformation, drive innovation, and make confident decisions with trusted data. Every product enhancement is built to solve real business challenges—empowering organizations to unlock value from their data faster and more effectively. THE ROLE The Senior Infrastructure Engineer – Azure will contribute to building scalable and secure cloud environments in Microsoft Azure for Syniti’s SaaS platform. This role supports the technical execution of infrastructure automation, cost optimization, and regional compliance. WHAT YOU WILL DO · Develop and maintain Terraform Azure IaC modules for PaaS services, networking, and resource governance. · Implement secure workload identity, service endpoint controls, and resource policies. · Partner with SRE and platform teams to optimize Azure region builds. · Support observability, tagging standards, and drift detection in Azure environments. WHAT IT TAKES · Strong infrastructure automation and operations troubleshooting capability. · Solid understanding of Azure managed services and infrastructure patterns. · Ability to work in an agile team environment with infrastructure-as-code practices. · Good understanding of cloud security, governance, and cost containment. · Effective communicator across teams and project stakeholders · 10+ years in infrastructure engineering. · 3+ years of Azure experience (AKS, AAD, App Services, VNet, Monitor). · 2+ years of Terraform Azure development for provisioning. · Must be experienced in coding modules in Terraform, not just configuring IaC deployments. · CI/CD tools (Azure DevOps, GitHub Actions). · Python or PowerShell scripting for task automation. Be fully aligned with our core values: • Think Big - Be courageous and bold. Aspire to greatness. Relentlessly pursue market innovation. Set the standard by which others follow. Create solutions that have a meaningful impact. Solve the challenges our customers don’t know they have., • Be Curious - Be a lifelong learner. Seek out new ideas to serve customers. Understand our competition and the world. Be permanently dissatisfied with the status quo. Challenge preconceptions. Focus on the future rather than yesterday., • Take Action - Be the first. Don’t wait. Take accountability. Inspire others by doing. Fail fast and learn from mistakes. Make a difference every day., • Stronger Together - Respect, trust and look out for each other. Celebrate diverse perspectives. Listen. Build connections and belonging. Act with integrity. Give back. One Syniti family. WHAT WE OFFER • Trust that you are proficient at what you do. At Syniti, you will find a supportive environment and access to learning tools, but micromanagement is not our thing., • Growth. We are growing rapidly and steadily solving the biggest challenges enterprise companies are faced with today. There was never a better time to join and grow with us. Most importantly, you will have the chance to shape our journey and share in our success story., • Support. We all rely on each other and enable each other to be successful. You won’t stand alone., • Curiosity and genuine interest in you. We all have our different stories, all equally fascinating, with each depicting a different journey, and we want to hear them all., • Recognition. We are the sum of individual achievements, and we always take the time to celebrate them., • An open organisation. Hierarchies are not our thing, and access is something we make sure of across the board. We are a family where everyone is just as important, everyone’s work is seen, and ideas are valued. OUR COMMITMENT TO INCLUSION At Syniti, we’re committed to creating a respectful, inclusive, and fair workplace where everyone belongs and thrives. We believe that diverse perspectives make us stronger — and we value the unique backgrounds, experiences, and voices each person brings to our team. We welcome applicants based on their skills and potential, and we’re dedicated to ensuring equal opportunities for all, regardless of personal background. If you need accommodations during the hiring process, please let us know — we’re here to support you.

Senior Data Scientist: If you want a job where you actively shape how a data function operates — and directly define how your own role evolves as the company grows — this is it. Xcede has started working with a fast-growing leader in their emerging category of continuous AI auditing and independent model oversight. This AI trust & governance company want a senior data scientist to set the technical benchmarks used to assess the performance, reliability, and risk of mission-critical AI systems. This role brings together bias assessment, robust quantitative analysis, and practical insight into how real-world evaluation processes work. You’ll likely join with deep expertise in one area and build strength across the others over time, giving you the ability to influence how methodologies are designed, outcomes are interpreted, customer guidance is delivered, and product decisions align with a rapidly changing AI accountability environment. You’ll collaborate closely with technical leadership and those responsible for shaping the platform, contributing across in-depth investigative work, evaluation design, and strategic decision-making. Your work will raise the quality bar for analytical practice, reinforce confidence in their approach, and help define what robust, defensible AI assessment looks like in real-world use. Requirements: • A solid academic foundation in a relevant field, • more than five years of senior professional experience, • Strong in Python, • At ease working both in detail and in areas that are not yet fully defined, • Strong communicator, • Works effectively with others while taking clear ownership of outcomes, • Able to interpret details within their broader operational and business context, • Driven by the opportunity to make a meaningful difference through their work, • demonstrated depth across at least 2 of the following areas: -Hands-on work evaluating and mitigating systematic risk within deployed AI models, including assessment techniques that support transparent and defensible outcomes • Experience working with people-focused data in decision-making contexts, including evaluating outcomes, assessing differential effects, and supporting evidence-based assessment approaches, • Proven experience applying robust quantitative methods in environments where analytical decisions carry significant risk, with a strong command of statistical reasoning and repeatable analysis practices If you are interested in this or other Data Scientist positions, please contact Gilad Sabari @ | 02074226861

Senior Cloud DevOps Engineer - Fully Remote (UK only) - Up to 85k High impact role. Modern AWS environment. Real engineering influence. Our global tech client builds advanced cloud and data platforms for large scale, distributed environments. This group is investing heavily in AWS, automation and data driven solutions, and they are hiring a Senior Cloud DevOps Engineer who wants ownership, autonomy and the chance to shape future cloud standards. This is an ideal opportunity for someone who enjoys solving complex engineering challenges and wants to work with a wide range of cloud, container and data technologies. Your core responsibilities Cloud Engineering Design, build and maintain AWS environments and ensure they meet industry security standards. DevOps Enablement Promote DevOps culture, automation thinking and strong engineering practice across the team. Security and Architecture Reviews Lead technical assessments, risk reviews and architectural improvements for data and cloud workloads. Infrastructure as Code Create reusable templates and patterns using Terraform and CloudFormation to support consistent cloud deployments. Cloud Operations and Administration Manage identity and access, support cloud integrations, analyse performance and recommend improvements to keep systems robust and resilient. Skills and experience required • Degree in computer science, engineering or a similar technical field., • Five or more years experience in Cloud DevOps, Cloud Architecture or Platform Engineering., • Strong understanding of AWS across compute, networking, identity and databases., • Solid experience with Terraform and CloudFormation., • Strong Python skills., • Confident with SQL, MySQL, Postgres and S3 based storage., • Comfortable with Linux and shell scripting., • Experience with Git, GitHub and CI or CD pipelines., • Strong analytical and problem solving mindset with the ability to collaborate in a fast paced environment., • Strong grasp of modern DevOps, cloud tooling and configuration management. Nice to have • AWS certifications., • Working knowledge of SOC 2, GDPR or related compliance requirements., • Networking certifications such as CCNA or CCNP., • Experience with Kafka, MQTT or other streaming technologies., • Hands on experience with serverless, ECS or EKS., • Agile or Scrum exposure., • Strong communication skills., • Interest in Data Engineering, AI or ML. Why this role stands out • Work with a mature AWS ecosystem that includes EKS, Lambdas, MWAA, Confluent and Timescale., • Help drive the cloud vision and influence standards, guardrails and best practice., • Join a collaborative team of software, systems and network engineers., • Build secure, scalable data and analytics platforms used across the organisation., • Make an impact in an environment that values engineering quality, automation and innovation. Why candidates choose this role • You gain ownership over cloud direction and standards., • You join a team that encourages learning, experimentation and the use of new technologies., • You work in an environment that values both independence and collaboration., • You build platforms that directly support real time analytics and high value data solutions.

The role The AVEVA PI Engineer will be responsible for implementing, configuring, and maintaining AVEVA PI systems to support real-time data collection, storage, and visualization for industrial operations. This role involves working closely with operations, IT, and engineering teams to ensure seamless integration and optimal performance of PI infrastructure. Key responsibilities • Install, configure, and maintain AVEVA PI Server and related components., • Develop and manage PI tags, interfaces, and data flows from various sources (DCS, PLC, SCADA)., • Implement PI Asset Framework (AF) and Event Frames for structured data modeling., • Create and maintain PI Vision dashboards and reports for operational insights., • Troubleshoot PI system issues and ensure high availability and data integrity., • Collaborate with stakeholders to gather requirements and deliver PI-based solutions., • Ensure compliance with cybersecurity and data governance standards. What we’re looking for • Bachelor’s degree in Engineering, Computer Science, or related field., • Hands-on experience with AVEVA PI System (formerly OSIsoft PI)., • Strong knowledge of PI Data Archive, PI AF, PI Vision, and PI Interfaces., • Familiarity with industrial protocols (OPC, Modbus, MQTT)., • Basic scripting skills (PowerShell, Python) for automation., • Excellent problem-solving and communication skills. Nxzen is a diverse organisation and understands everyone has different needs and many of our employees enjoy flexible working enabling them to deliver results whilst having a good work life balance. Our hybrid working model allows for flexibility in working from home for up to two days per week, once you have settled in to your role, with three days per week working with the team in our bright open plan offices in Solihull.

AI/ML Engineer (Generative AI / LLMs) Location: Fully Remote (UK-based) The Role We’re hiring a Senior Machine Learning Engineer to lead the design and production of Generative AI and Large Language Model (LLM) applications. This role sits at the heart of an AI-focused engineering team, delivering scalable, production-grade systems using GCP and Google’s AI ecosystem. You’ll be a senior, hands-on engineer owning complex technical problems end to end, with a strong influence over architecture, tooling, and the future direction of LLM-powered products. What You’ll Be Doing • Design, develop, and deploy advanced machine learning and deep learning models into production., • Architect scalable LLMOps pipelines on GCP / Vertex AI, including fine-tuning, vector search, and low-latency inference., • Build end-to-end LLM applications, leveraging RAG (Retrieval-Augmented Generation), agentic workflows, and prompt engineering., • Implement robust evaluation frameworks to monitor LLM quality, hallucinations, token usage, and content safety., • Develop and deploy autonomous or semi-autonomous agents using modern agent frameworks and Google AI tooling., • Collaborate with product and engineering teams to translate complex business requirements into ML-driven solutions., • Monitor, optimise, and continuously improve models in live production environments., • Contribute to the architecture and evolution of the AI platform and supporting data infrastructure., • Stay current with emerging research, tools, and best practices across ML and Generative AI. What We’re Looking For Essential • 5+ years’ experience in machine learning engineering or applied AI roles., • Recent, demonstrable experience with LLMs, Generative AI, and/or RAG-based systems., • Strong Python skills using frameworks such as PyTorch, TensorFlow, Hugging Face, or Google GenAI., • Experience with vector databases and retrieval-based architectures., • Proven experience designing and operating large-scale ML systems in production., • Strong experience with GCP Vertex AI (or equivalent cloud ML platforms)., • Solid software engineering fundamentals: APIs, Docker, CI/CD, and Git., • Strong understanding of deep learning, statistical modelling, and optimisation techniques. Nice to Have • Experience with agentic design patterns (e.g. ReAct, Chain-of-Thought, tool use)., • Familiarity with LLM evaluation frameworks such as RAGAS or TruLens., • Experience fine-tuning large models or working with reinforcement learning techniques., • Background in mathematics, statistics, or theoretical computer science., • Understanding of data governance, bias mitigation, or model interpretability. Why Join • Work on real, production-grade GenAI systems with clear business impact., • High autonomy and ownership in a senior, hands-on engineering role., • Fully remote working with a collaborative, distributed team., • Opportunity to influence architecture and long-term technical direction., • Competitive salary

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

Machine Learning Research Engineer - LLM post-training/mid-training Our team is partnered with a materials discovery stealth venture based in San Francisco and London, led by former Oxford and Isomorphic Labs leaders in AI and experimental science. The team is pioneering large-scale language models that reason, adapt, and accelerate discovery workflows. They are combining experimental validation, synthetic data generation, and scalable infrastructure to push the boundaries of autonomous research. This is a rare chance to be part of the founding team, shaping technical direction and building systems that redefine how science is done. The Role • You will design and implement novel approaches for model adaptation and reasoning, exploring techniques that improve generalization, controllability, and scientific understanding., • This includes mid-training strategies, post-training alignment, and inference-time optimization for complex workflows., • You'll also develop new reasoning paradigms such as retrieval-augmented and tool-augmented approaches and build robust evaluation frameworks for applied scientific contexts. Qualifications: • PhD. or equivalent experience in Computer Science, Machine Learning, or a closely related discipline, • Practical experience working with LLM training pipelines, including pre-training, mid-training, or post-training stages, • Strong grasp of transformer architectures, optimization techniques, and representation learning principles, • Proficiency in Python and familiarity with major ML frameworks such as PyTorch, DeepSpeed, or JAX, • Knowledge of alignment and reasoning strategies, including in-context learning, chain-of-thought, tool integration, or retrieval-augmented approaches, • Ability to combine innovative research thinking with pragmatic engineering to deliver scalable, high-performance systems

The Oracle Cloud Infrastructure (OCI) Offensive Security team provides OCI with the capabilities to ensure our systems and services meet the security objectives we communicate to customers. The Offensive Security group performs security assessments, vulnerability research, static and dynamic analysis research, penetration testing, red-teaming, and security tool development. We ensure the security of the software and hardware that runs our cloud infrastructure and strive for continuous improvement. The OCI Offensive Security group works as a team. We don't fit people into predefined roles. We bring together the right people who enhance team capability and build roles around each team member's skills and interests. Offensive Security Engineer Oracle Cloud Infrastructure Group The Oracle Cloud Infrastructure (OCI) Offensive Security team provides OCI with the capabilities to ensure our systems and services meet the security objectives we communicate to customers. The Offensive Security group performs security assessments, vulnerability research, static and dynamic analysis research, penetration testing, red-teaming, and security tool development. We ensure the security of the software and hardware that runs our cloud infrastructure and strive for continuous improvement. The OCI Offensive Security group works as a team. We don't fit people into predefined roles. We bring together the right people who enhance team capability and build roles around each team member's skills and interests. Values are OCI's foundation and how we deliver excellence. We strive for equity, inclusion, and respect for all. We are committed to the greater good in our products and our actions. We are continually learning and taking opportunities to grow our careers and ourselves. We challenge each other to stretch beyond our past to build our future. You can learn more about us by visiting ___. Are you interested in building large-scale distributed security systems and tools for the cloud? Do you love the idea of working in an environment with the excitement of a start-up, but the financial backing of a Fortune 100 company? This role offers huge upside potential, high visibility, and fast career growth without the risks of a typical start-up. We are growing fast, maturing, and working on results-oriented initiatives. A security-focused leader can have significant technical and business impact. This is a unique opportunity to work with smart people to solve complex problems in distributed systems, security, and multi-tenant Infrastructure-as-a-Service (IaaS) operating at massive scale. The biggest challenges for the team is the dynamic and fast growth of the business, driving us to improve our systems, tools, and automation to scale to our security expertise several orders of magnitude greater than what we can support today. We understand that software is living and needs investment. The challenge is making the right tradeoffs, communicating those decisions effectively, and crisp execution. We hope you like working at scale as much as we do because Oracle has no shortage of it! Craft the future of one of the largest clouds on earth with us! Our ideal candidate is a hardworking and hands-on engineer who cares about security and improves their knowledge every day. We're looking for hands-on cloud hackers with expertise and passion in identifying and exploiting complex security problems in distributed, multi-tenant services and infrastructure. We operate distributed systems at a high scale, worldwide. These are the foundations of our cloud environment. Our customers run their businesses on our cloud, and our mission is to provide them with a best-in-class and ever-expanding set of cloud-based services. A security-focused engineer at any level can have significant technical and business impact. Come shape the future of one of the largest clouds on earth with us. To get you excited, here is a list of some of the projects over the last year this team has worked on: • Big iron - ExaLogic, ExaData, UltraSPARC, InfiniBand, • Firmware reverse engineering of various hardware components, • Developing custom fuzzing platforms for code-coverage analysis, • Several different hypervisors, • Linux and Windows kernel mode non-sense Responsibilities • You enjoy diving into complex source code audits to reveal subtle security vulnerabilities, • Writing new tools such as fuzzers in languages such as C/C++, Python, Ruby, Go or Java,, • Tearing apart an undocumented file format or network protocol, • Coming up with novel techniques to solve unique and interesting security problems, • Review new services, including their integration points with existing services, • Guide security projects beyond the scope of performing assessment work, • Identify and disclose vulnerabilities to 3rd party vendors, • Design complex systems and services that improve quantity or quality of offensive security output, • You'll reviews new features of moderate complexity in existing systems, identifying areas of new risk created; work with service teams to explore and recommend mitigations; and collaborate across service teams and security stakeholders., • Review new services, including their integration points with existing services, • Guide security projects beyond the scope of performing assessment work: identifying and disclosing vulnerabilities to 3rd party vendor or design of complex systems and services that improve quantity or quality of offensive security output, • You'll drive organization wide improvement in the form of engineering practices, security architecture, operation practices or development practices., • 6+ years of experience in vulnerability discovery / security engineering / application security, • Threat modeling experience of microservice architectures, • Experience working in a large cloud or software company, • Extensive research or experience with multiple classes of security bugs, • Evidence of contribution to the security community in the form of conducting training / thought leadership / conference talks / publications, • Improve security throughout the organization, identifying areas of risk or opportunities for improvement and piloting them, • Be a subject matter expert in at least one business-critical area (e.g. cryptography, hardware security, operating systems, authentication protocols, fuzzing, DoS mitigation, networks, distributed systems), • Collaborative track record working between internal teams and external organizations, • Excellent organizational, verbal and written communication skills, • Intermediate knowledge of Linux OS Internals, • Undergraduate or Graduate degree in Electrical Engineering, Computer Science, or another related field or equivalent work experience., • Hands-on experience developing services on a public cloud platform (e.g., AWS, Azure, Oracle), • Building continuous integration/deployment pipelines with robust testing and deployment schedules, • Experience working with internal customers and translating requests into prioritized work or features, • Expertise in applying risk identification techniques to develop security solutions, • Experience and understanding of Cryptographic algorithms, standards, implementation and application, • Experience and understanding of threat modeling, penetration testing, reverse engineering and attacks on software, • Experience working with large enterprise customers

Lead AI Engineer UK - Remote Portugal - Remote There are NO limits to your career: come shape the future and be part of a truly unique global culture at OutSystems! About This Role As a Lead AI Engineer in our Artificial Intelligence Group, you will be working on our Mentor line of products. Your main role will be to design and bring to life AI products and features applied to the problem of Enterprise Vibe Coding (vibe coding for “serious software”), covering the full Software Development Lifecycle. To do this, you will work alongside the rest of the group to push the state-of-the-art and build the next generation of AI-native developer tools. The sky's the limit and you’ll help us get there. Key Responsibilities • Stay up to date with the state-of-the-art in Artificial Intelligence and Machine Learning, and apply it to the problem of Enterprise Vibe Coding;, • Make use of techniques such as In-Context Learning (Prompt Engineering & Retrieval Augmented Generation) and Tool Calling to guide Agents to perform as intended;, • Work in an “eval-driven development” methodology, applying evaluation techniques such as model-based critiques, semantic accuracy benchmarks, and tool-use success rates as the basis for developing robust, reliable, and production-ready LLM Agents;, • Work across the entire lifecycle of product development, from ideation, through prototyping and designing to implementation and evaluation;, • Collaborate with cross-functional teams to ship and iterate on production-grade AI products;, • Own the end-to-end development of AI features of a customer-facing product, ensuring software quality, observability and scalability;, • Be a thought leader in the space, advancing the field by putting the most forward ideas into practice in a large-scale project. Qualifications / What You Need To Succeed • Ph.D. or MSc degree in Computer Science, Electrical Engineering, Artificial Intelligence, Machine Learning, or related technical fields is highly valued., • 7+ years of work experience in Machine Learning and AI Engineering roles, preferably building with LLMs and/or Agentic Systems, from development to production., • Hands-on experience with LLM frameworks (e.g. langchain, langgraph, llamaindex, langsmith), AI platforms (e.g. Databricks, mlflow) and containerization solutions (e.g. Docker) is valued., • Strong software engineering fundamentals and proficiency in Python are a must., • Be creative, ambitious and curious. Be resourceful and innovative. The Longer Story: OutSystems enables enterprise teams to build AI-powered applications and agents that reduce manual work, streamline internal operations, and accelerate impact. A proven low-code foundation combined with agentic AI and AI app generation capabilities empowers teams to move up to 10x faster with the assurance of security, scalability, and governance built in. As the future becomes agentic, our customers need us now more than ever. AI has opened the door to extraordinary possibilities—but inside the enterprise, things are moving fast and feeling chaotic. Some early adopters are making progress in production, but for many, AI tools are sprawling without governance, data isn’t ready, and talent isn’t there yet. Enterprises are still drowning in application backlogs and struggling with legacy systems. But with the right platform, AI doesn’t have to add to the chaos. It can become the breakthrough that brings clarity—and drives real, enterprise-wide impact. At OutSystems, we’ve built that platform, providing the tools necessary for enterprises to overcome these hurdles. We are looking for passionate, talented, and motivated people to join us in helping our customers build, deploy, and scale apps and agents—fast, helping them accelerate innovation while enabling secure, governed human-AI collaboration. OutSystems is a truly global company, with more than 850,000 developer community members, 1,700 employees, more than 500 partners, and thousands of active customers in over 75 countries and across 21 industries. Founded in 2001, OutSystems has offices in the United States, United Kingdom, the Netherlands, Portugal, Germany, the UAE, Japan, Hong Kong, Malaysia, Australia, India, and Singapore, and of course has a thriving, worldwide community of remote employees. Amongst our customers are some of the world's most recognizable brands across diverse industries—brands like Toyota, Heineken, Bosch, KeyBank, and UCLA. These customers are the reason we have a 4.6 star rating on G2. Their success is ours, and their stories demonstrate tangible ROI and transformational impact. We are a 9x Gartner Magic Quadrant Leader for Low-Code Application Platforms and a multi-year leader in the Forrester Wave. We’re recognized not just as leaders but as visionaries with a strong ability to execute, now extending our leadership into the AI and agentic application development arena. Working at OutSystems Our goal is to ensure that OutSystems is a place for bright, happy, and motivated people who share a common purpose and take pride in doing excellent work to pursue our vision of providing the AI-powered low-code development platform enterprise leaders trust to build, secure, and evolve their business applications, agents, and core systems. Our culture is focused on our core values of trust, customer success, innovation, and alignment. Our team members operate with transparency, integrity, and accountability, define success through the lens of the outcomes we deliver for our customers, push the boundaries with excellence, and work together toward our shared vision to deliver on what matters most. What do we have to offer you? • A company that is always growing, changing, and innovating. We challenge each other to innovate in our products, in our team, and how we use our own technology. And we give our teams space to be proactive and creative., • Real career opportunities. We care about growth and development. Yes, vertical career progression is a possibility, but it's not the only one. From lateral moves and joining different teams to mastering specialized skills, we support your growth no matter what your goals are., • Work colleagues that are as smart, hard-working, and driven as you. We act as one global OutSystems team, taking ownership and working together toward a shared vision., • Disrupting the status quo is in our DNA. In fact, it’s why our company exists., • We ask “why” a lot. It helps us connect our individual work to the bigger picture and sometimes even uncover a better way. Are you ready for the next step in your career? Then we’d love to hear from you! OutSystems nurtures an inclusive culture of diversity, where everyone feels empowered to be their authentic self and perform at their best. A company that embraces the creativity and innovation that comes through diverse perspectives. We are committed to creating a team that reflects society through inclusive programs and initiatives and are proud to be an equal opportunity employer. All qualified applicants receive equal consideration regardless of race, place of origin, color, age, marital status, religion, sex, sexual orientation, gender expression or identity, protected veteran status, disability status or any other status protected by law.

Lead Machine Learning Engineer – Conversational AI Platform Location: Remote / Flexible Contract Type: Permanent We’re partnering with a pioneering technology business that’s redefining how humans interact with AI at scale. Their platform powers millions of personalised conversations every day, and they’re looking for a hands-on technical leader to drive the next evolution of their large language model (LLM) capabilities. This is a rare opportunity to take ownership of the architecture, optimisation, and deployment of cutting-edge models in a high-growth environment. You’ll lead a small, highly skilled team while remaining deeply involved in coding and problem-solving. Key Responsibilities • Lead from the front: Architect solutions, mentor engineers, and contribute production-level code (Python/PyTorch)., • Optimise the conversational engine: Enhance context handling, retrieval pipelines, and inference speed for real-time performance., • Own the model lifecycle: Define strategies for fine-tuning, RLHF/DPO, and evaluation; oversee data sourcing and curation for improved steerability and diversity., • Design advanced safety systems: Build classifiers and moderation frameworks that go beyond binary decisions, ensuring compliance without compromising user experience. What we’re looking for • Proven delivery at scale: 6+ years in engineering, with significant experience shipping ML/LLM solutions to large audiences., • Technical depth: Strong Python/PyTorch skills and familiarity with modern LLM stacks (e.g., Hugging Face, vLLM, fine-tuning pipelines)., • Practical alignment expertise: Understanding of how prompts, sampling, and architecture influence model behaviour., • Execution mindset: Ability to prioritise shippable solutions over academic perfection., • Ownership mentality: Committed to performance, safety, and user experience beyond initial deployment. The environment • Team: Small, senior engineering group reporting into you, with close collaboration across DevOps and product., • Culture: High autonomy, rapid decision-making, and direct access to leadership., • Tech stack: Python, PyTorch, vLLM, Hugging Face, RAG pipelines, custom moderation systems.

Playrix — одна из самых успешных компаний по разработке мобильных игр в мире. По доходам среди всех мобильных приложений мы входим в топ-3 в мире, а в Европе мы первые. Наши игры установили 2,3 миллиарда раз (треть населения Земли), каждый день в них играет более 30 миллионов людей по всему миру! У нас большие планы на развитие и рост наших проектов, именно поэтому мы ищем сильнейших экспертов в наши команды разработки. Если ты работаешь с Unity, но хотел бы попробовать свои силы в С++, мы готовы тебе помочь. Команды разработки для нас - ядро компании, благодаря которому наши игры растут и развиваются уже 21 год. Lead Software Engineer – драйвер технического развития продукта, который ведет и развивает команду с точки зрения архитектуры, качества, культуры разработки и инженерных практик. В каждом проекте у нас есть основные направления: • Фичевое: разработка событий и мини-игр с нуля (от различных соревнований до мини-игр типа Merge);, • Техническое: оптимизация, поддержка технической стабильности, SDK (сокращение скорости загрузки, потребление памяти и др.);, • Match-3 и мета: работа с графикой и основной механикой игры (добавление нового функционала, рефакторинг и оптимизация). Задачи, которые предстоит решать: • People management: ответственность за развитие, найм/увольнение, оценку команды;, • Развитие процессов внутри команд (как на уровне команды, так и на уровне всей разработки на проекте);, • Продюсирование: решение сложных технических проблем на проектах, разработка архитектуры решения и обеспечение быстрой реализации;, • Контроль стабильности и качества программной части игры;, • Code review и design review;, • Программирование и рефакторинг игровой логики. Наш стек: • Языки: С++, для единичных задач Lua и Python;, • Графика: OpenGL ES и Metal;, • Собственный движок, похожий на Unity или Unreal, который мы постоянно развиваем (___);, • Продвинутый CI/CD, автоматическое тестирование, процессы code review и многое другое;, • AI-ассистенты: используем Cursor для автоматизации и ускорения разработки (от рутинных задач до планирования и декомпозиции). Мы ожидаем: • Опыт разработки коммерческих проектов на С++ и/или Unity не менее 3 лет,, • Опыт разработки проектов, выпущенных в production;, • Опыт управления командой программистов (3+ человек) не менее года. Будет плюсом: • Уверенное владение современными стандартами С++ 14/17, а также STL;, • Опыт работы с популярными игровыми движками (Unity, Unreal, Godot, Cocos2D, Defold и т.д.);, • Опыт работы с AI-помощниками для разработки (Cursor, Copilot и др.);, • Опыт разработки мобильных казуальных игр. У нас классно, потому что у нас есть: • Открытая коммуникация и прозрачность в принятии решений, обмен опытом внутри команд., • Фокус на качестве и надежности кода., • Упор на развитие продуктового видения у каждого специалиста в компании. Наши разработчики представляют, как та или иная фича будет работать у пользователя, и сами играют в игры, которые разрабатывают., • Возможность менять процессы и подходы на более эффективные без долгих согласований и бюрократии., • Понятные возможности развития в технического директора, программинг менеджера или проджект менеджера., • Мы активно используем Cursor и другие AI-инструменты в процессе разработки — у тебя будет возможность работать на переднем крае технологий, делиться опытом и формировать лучшие практики их применения. Мы предлагаем: Гибкость в работе: у нас гибкий график, и сотрудники могут работать из любой точки мира (кроме РФ и РБ). Для нас не важно, где и как вы выполняете свою работу — мы оцениваем только результаты. Забота о здоровье и well-being: • Предоставляем ДМС для сотрудников и их детей, компенсируем онлайн-сессии с психологом., • Сохраняем 100% зарплату во время отпуска или больничного без лишних справок. А для особых случаев предоставляем дополнительные выходные., • Оплачиваем участие в профильных конференциях и курсах, проводим внутренние конференции., • Регулярно проводим развлекательные и рабочие мероприятия в офлайн-режиме: встречи команд, крупные корпоративные вечеринки и более лайтовые пати в офисах., • Также регулярно проводим развлекательные конкурсы, квизы, хакатоны, спортивные челленджи в режиме онлайн., • Собственный магазин мерча с внутренней валютой, где можно купить уникальные подарки. Валюту дарим на значимые даты, также ее можно заработать, участвуя в мероприятиях и брендовых активностях. Отправляя отклик на нашу вакансию, вы соглашаетесь, что ваши персональные данные, собранные во время собеседований в Playrix, будут обрабатываться в соответствии с условиями (___). Вы можете отправить запрос в отношении ваших персональных данных по адресу: .

Playrix — одна из самых успешных компаний по разработке мобильных игр в мире. По доходам среди всех мобильных приложений мы входим в топ-3 в мире, а в Европе мы первые. Наши игры установили 2,3 миллиарда раз (треть населения Земли), каждый день в них играет более 30 миллионов людей по всему миру! У нас большие планы на развитие и рост наших проектов, именно поэтому мы ищем сильнейших экспертов в наши команды разработки. При этом опыт работы на С++ и/или в геймдеве совсем необязателен: у нас отличная система адаптации для комфортного перехода новичков с Unity и из других индустрий. Команды разработки для нас - ядро компании, благодаря которому наши игры растут и развиваются уже 21 год. Lead Software Engineer – драйвер технического развития продукта, который ведет и развивает команду с точки зрения архитектуры, качества, культуры разработки и инженерных практик. В каждом проекте у нас есть основные направления: • Фичевое: разработка событий и мини-игр с нуля (от различных соревнований до мини-игр типа Merge);, • Техническое: оптимизация, поддержка технической стабильности, SDK (сокращение скорости загрузки, потребление памяти и др.);, • Match-3 и мета: работа с графикой и основной механикой игры (добавление нового функционала, рефакторинг и оптимизация). Задачи, которые предстоит решать: • People management: ответственность за развитие, найм/увольнение, оценку команды;, • Развитие процессов внутри команд (как на уровне команды, так и на уровне всей разработки на проекте);, • Продюсирование: решение сложных технических проблем на проектах, разработка архитектуры решения и обеспечение быстрой реализации;, • Контроль стабильности и качества программной части игры;, • Code review и design review;, • Программирование и рефакторинг игровой логики. Наш стек: • Языки: С++, для единичных задач Lua и Python;, • Графика: OpenGL ES и Metal;, • Собственный движок, похожий на Unity или Unreal, который мы постоянно развиваем (___);, • Продвинутый CI/CD, автоматическое тестирование, процессы code review и многое другое;, • AI-ассистенты: используем Cursor для автоматизации и ускорения разработки (от рутинных задач до планирования и декомпозиции). Мы ожидаем: • Опыт разработки коммерческих проектов на С++ и/или Unity не менее 3 лет,, • Опыт разработки проектов, выпущенных в production;, • Опыт управления командой программистов (3+ человек) не менее года. Будет плюсом: • Уверенное владение современными стандартами С++ 14/17, а также STL;, • Опыт работы с популярными игровыми движками (Unity, Unreal, Godot, Cocos2D, Defold и т.д.);, • Опыт работы с AI-помощниками для разработки (Cursor, Copilot и др.);, • Опыт разработки мобильных казуальных игр. У нас классно, потому что у нас есть: • Открытая коммуникация и прозрачность в принятии решений, обмен опытом внутри команд., • Фокус на качестве и надежности кода., • Упор на развитие продуктового видения у каждого специалиста в компании. Наши разработчики представляют, как та или иная фича будет работать у пользователя, и сами играют в игры, которые разрабатывают., • Возможность менять процессы и подходы на более эффективные без долгих согласований и бюрократии., • Понятные возможности развития в технического директора, программинг менеджера или проджект менеджера., • Мы активно используем Cursor и другие AI-инструменты в процессе разработки — у тебя будет возможность работать на переднем крае технологий, делиться опытом и формировать лучшие практики их применения. Мы предлагаем: Гибкость в работе: у нас гибкий график, и сотрудники могут работать из любой точки мира (кроме РФ и РБ). Для нас не важно, где и как вы выполняете свою работу — мы оцениваем только результаты. Забота о здоровье и well-being: • Предоставляем ДМС для сотрудников и их детей, компенсируем онлайн-сессии с психологом., • Сохраняем 100% зарплату во время отпуска или больничного без лишних справок. А для особых случаев предоставляем дополнительные выходные., • Оплачиваем участие в профильных конференциях и курсах, проводим внутренние конференции., • Регулярно проводим развлекательные и рабочие мероприятия в офлайн-режиме: встречи команд, крупные корпоративные вечеринки и более лайтовые пати в офисах., • Также регулярно проводим развлекательные конкурсы, квизы, хакатоны, спортивные челленджи в режиме онлайн., • Собственный магазин мерча с внутренней валютой, где можно купить уникальные подарки. Валюту дарим на значимые даты, также ее можно заработать, участвуя в мероприятиях и брендовых активностях. Отправляя отклик на нашу вакансию, вы соглашаетесь, что ваши персональные данные, собранные во время собеседований в Playrix, будут обрабатываться в соответствии с условиями (___). Вы можете отправить запрос в отношении ваших персональных данных по адресу: .

Here’s a taste of what you will be doing as a Backend Engineer (C# Node Python) at Nottingham Building Society: Build and Maintain Services – Design, develop and support backend servi

This role requires expert knowledge in cloud environments, hands-on experience with scheduling platforms like Control-M, and proficiency in Shell scripting and Python.