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Job Title: GCP DevOps Engineer Duration: long-term contract Location: UK based Remote We are seeking a skilled GCP DevOps Engineer to join our security-focused DevOps team. This role is critical in safeguarding our web applications and infrastructure by implementing, tuning, and automating Web Application Firewall (WAF) rules within GCP environments. You'll be hands-on with GCP, Terraform, and Python scripting, working closely with Security Operations (SOC) teams to enhance web security and OWASP protection. Key Responsibilities • Design, implement, and maintain GCP WAF solutions across various cloud workloads., • Integrate WAF solutions with CI/CD pipelines and automate security controls., • Monitor and optimize application security performance within AWS environments., • Support incident response teams during security investigations. Skills Requirements: • Proven experience with WAF platforms: Akamai, F5, Azure WAF, AWS WAF, Imperva, Vultr, NexusGuard., • Solid foundation in cloud security (AWS) including IAM, Shield, CloudWatch, CloudTrail

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

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

Engineering Manager - Start-Up/Scale-Up - Data/ML/AI Organisation £140,000 - £160,000 Central London Highly successful, award winning, high growth scale-up looking for an experienced and driven Engineering Manager to join their team. As Engineering Manager, you’ll play a pivotal role in shaping the next chapter of company technological journey. Working closely with the CTO, you’ll lead the design and delivery of AI focused systems that power the products, ensuring the Company continue to innovate while scaling reliably and efficiently. You’ll join a high-performing, cross-domain team spanning mobile, backend, and data science - acting as the glue that connects architecture, product, and engineering strategy. This is an opportunity to: • Own the technical roadmap,, • Drive best practices,, • Build systems that delight millions of users across the world. We are looking for an engineer and natural problem solver, with strong commercial acumen, able to connect technical decisions to business outcomes. You will have deep technical literacy across multiple domains: backend, data, and mobile. Experience in architecting and scaling complex software systems. Comfortable operating in a high-growth, product-led environment. Data-driven, detail-oriented, and capable of critical systems thinking. Background in AI and Machine Learning systems. Prior people management or team leadership experience is a must as is experience in start-up or scale-up environment. What we’re looking for: Partner with the CTO to refine and execute the technical strategy and roadmap. Lead the Engineering & Architecture and delivery of AI-powered systems that underpin Company products. Ensure cohesion across mobile, backend, and data platforms, enabling scalable and secure growth. Work hands-on where needed, diving into the details to understand and guide engineering challenges. Collaborate with product and data teams to ensure our AI systems deliver measurable business value. Champion engineering excellence, from code quality and data integrity to system resilience and performance. Contribute to hiring, mentoring, and enabling engineering teams. Engineering experience within some of the following: Go, Rust, Python, AWS, GCP is a must. Previous experience across IOS/Android is highly desirable. Engineering Manager - Start-Up/Scale-Up - Data/ML/AI Organisation

About NCR Atleos NCR Atleos, headquartered in Atlanta, is a leader in expanding financial access. Our dedicated 20,000 employees optimize the branch, improve operational efficiency and maximize self-service availability for financial institutions and retailers across the globe. Role: Software Engineer Location: Dundee Grade: G11 Salary: £48,000 - 55,000 p/a You will join the Services Engineering department within the COO’s organization, as part of the Smart Services team. Our mission is to deliver intelligent, automated solutions that transform how NCR Atleos supports its global customer base. Smart Services leverages cutting-edge technologies to enable predictive maintenance, remote diagnostics, and proactive service delivery, helping customers reduce downtime and optimize operations. This is an opportunity to work on high-impact projects that combine software engineering excellence with innovation in service automation. You’ll collaborate with talented engineers and product experts to build scalable, containerized applications that power NCR Atleos' next-generation service ecosystem. We are seeking a Software Engineer with strong expertise in Python development, containerization technologies, and SQL to join our dynamic team. This role involves designing, developing, and maintaining scalable software solutions that power mission-critical applications. Key Areas of Responsibility • Design, develop, and maintain software applications using Python., • Implement and manage containerized environments (Docker, Kubernetes) for deployment and scalability., • Write and maintain unit tests to ensure code quality and reliability., • Develop and optimize SQL queries and database schemas for high-performance data operations., • Collaborate with cross-functional teams to deliver robust and secure solutions., • Participate in code reviews, troubleshooting, and performance tuning., • Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent experience)., • 3-5 years' experience in Python programming and related frameworks., • Hands-on experience with containerization tools (Docker, Kubernetes)., • Strong understanding of unit testing frameworks (e.g., pytest, unittest)., • Solid knowledge of SQL and relational database design., • Experience with cloud platforms (AWS, Azure, or GCP)., • Knowledge of microservices architecture.

About Us: At Creare Capital, we are on a mission to help realise the full potential of the creative industries. We believe that creative businesses are underserved and underprepared when it comes to accessing and utilising finance to grow their companies. We are on a journey to improve access to finance for creative industry businesses. In our current phase, we are a funding finding platform that helps creatives find 700+ grants, loans and investors. We have now been signed off by the regulators where we will shortly be turning on Open Banking to enable us to deploy our novel Investment Readiness Score and an AI assistant to guide founders on what to do next. We help creatives understand their funding options and prepare stronger applications for grants, loans and investment. The Role: We are now looking for a Senior Full Stack Engineer with real experience of building AI features in production to help us develop the next wave of product. If your only AI experience is through online courses or tutorials, this role is unlikely to be the right fit at this stage. You will work closely with the founding team to turn ideas into live features, with a particular focus on how we use large language models inside the product. You will design and build services that: • Analyse information about a business and its funding needs, • Recommend relevant funding opportunities in a structured, explainable way, • Help founders draft and refine application content in their own tone of voice, • Support more advanced workflows where different steps interpret data, take actions and generate outputs You will move between backend services, simple user interfaces and LLM orchestration, and you will help us evolve our current set up towards a more advanced model with our own data and logic layered on top. Responsibilities: • Build and maintain APIs and services that interact with LLM providers, • Design prompt patterns, tools and simple agent style flows for our use cases, • Work with our existing data models and contribute to how we capture new signals, • Collaborate on feature design, from technical constraints through to user experience, • Ensure solutions are robust, observable and cost aware, • Take part in code reviews and technical decision making This is your opportunity to be part of something authentically game-changing, where you can roll your sleeves up and passionately get involved in helping us help others. We are looking for someone who: • Has at least three years of professional software engineering experience, data science or related, • Has at least two years of hands on experience building machine learning / LLM based features in a live product used by real users, • Has strong full stack skills, for example TypeScript and Node, Python, or a similar modern stack, and is comfortable with a mainstream frontend framework, • Has practical experience with one or more LLM providers such as OpenAI or Anthropic, including prompt design and integration in code rather than only in a browser console, • Understands how to structure AI calls for reliability, safety, cost and performance, • Is confident working with APIs, authentication and structured data, • Can explain technical ideas clearly to non technical colleagues, • Experience in fintech, funding or credit related products Nice to have, not essential • Interest in creative sectors such as games, film, music, fashion or digital media, • Experience with AWS or similar cloud environments, • Line management / leadership roles previously held Location and compensation • Remote first within UK friendly time zones, with occasional in person sessions., • A competitive compensation package, with potential for equity participation as the company grows. How to apply: Please share • Your CV, • Answers to the three questions below, in a few short paragraphs each, • A link to a code sample or project you are happy to share, with a note on your role in it Application questions • Describe one AI or LLM feature you have built that is in production. What problem did it solve, what was your role, and what technologies did you use, • What LLM providers and models have you used directly in the last twelve months, and for what types of tasks, • Share a link to a code sample or repo that reflects your current standard of work. Briefly explain which parts you wrote and what you would improve if you had more time Shortlisted candidates will be invited to complete a focused technical exercise, around 60 to 90 minutes, that reflects the type of AI work we do at Creare Capital.

I'm currently working with a consulting client looking for a contract Fullstack Data reporting engineer and Python software developer. Fullstack Data reporting engineer (Python/.Net) - Contract: Required Skillset: 5+ years Software engineering experience C# Full Stack .NET development SQL Server & SQL Server Reporting Services Python for data engineering and Power BI Strong SQL knowledge Git / GitHub React/Javascript Experience within NHS or Healthcare sector is a must have Python software developer - Contract: Required Skillset: 5+ years Software engineering experience with Python as the primary backend language, with support for Java and .NET Oracle SQL PL for maintaining existing services Experience with AWS, Azure, SQL Server, Postgres, GitHub, Azure DevOps, Linux, Docker and Kubernetes Understanding of continuous deployment with automated testing and monitoring Test-Driven Development (TDD), writing tests before code Experience within NHS or Healthcare sector is a must have Location: Remote Contract Type: 6 months (Possibility for extension) Start Date: Immediately Daily rate - £400 (inside IR35)

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

[Up to c. £150k Comp Package | Hybrid Working] Role Overview We’re supporting a specialist investment and technology firm that is expanding its infrastructure footprint in Europe and building out its networking capability in London for the first time. This hire will become the first network engineer based locally, working closely with a recently appointed Head of Networks in the U.S. and partnering with engineering and research teams across multiple regions. The role sits at the intersection of delivery and operations. You’ll contribute to new network build-outs while also supporting an existing low-latency estate that underpins trading and research systems. The environment spans traditional data centre networking, cloud connectivity, automation, and performance-sensitive routing - offering broad technical exposure rather than narrow ownership of a single domain. It’s well suited to an engineer who wants to deepen their network fundamentals while gaining hands-on experience across a modern, mixed infrastructure stack... Key Responsibilities • Assist with the design, rollout, and day-to-day operation of network infrastructure supporting trading, research, and corporate systems, • Troubleshoot and resolve network incidents across routing, switching, and connectivity layers in both on-prem and cloud environments, • Support low-latency systems, balancing reliability, performance, and operational resilience, • Contribute to network-related projects, including new deployments, upgrades, and capacity improvements, • Work with senior network leadership to standardise configurations, improve tooling, and document network design decisions, • Engage with engineers and researchers to understand connectivity requirements and translate them into practical network solutions, • Develop and maintain basic automation or configuration workflows to reduce manual effort and improve consistency, • Participate in an on-call rota, including occasional out-of-hours support when required What You’ll Bring… • A solid academic background, with a degree from a well-regarded university in computer science, engineering, or a related discipline, • Commercial experience in network engineering or infrastructure roles, ideally at a junior-to-mid level (3+ years), • A strong grounding in core networking concepts, including TCP/IP, routing and switching, and common L2/L3 protocols (e.g. BGP, OSPF), • Hands-on exposure to enterprise networking hardware from vendors such as Cisco, Arista, or Juniper, • Exposure to multi–data centre or latency-sensitive environments, • Practical understanding of network security fundamentals, including access controls, segmentation, and firewall concepts, • Experience working with Linux systems and familiarity with the Linux networking stack, • An interest in automation and modern NetOps practices, with some exposure to scripting or tooling (e.g. Python, Ansible, Terraform, Git), • Curiosity and adaptability - comfortable working across a wide technical surface area without needing to be an expert in every component, • Willingness to support on-call coverage and flexibility around non-compete timelines where applicable, • (Preferred) Experience with cloud networking in AWS, Azure, or GCP, • (Preferred) Familiarity with CI/CD-driven infrastructure workflows or network monitoring platforms ..

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

Heading to the New Year and thinking of a change for 2026? If you're a Lead or Senior software engineer with a track record of using C#, and the .NET framework we'd love to talk to you. We've been retained by our London client to help them find a senior leader for their engineering team as they look to re-engineer a highly successful platform relied on by some of the biggest names in asset management and banking. Core to the solution is their selection of C# / .NET framework to build the next generation of their software. This is a rare opportunity to join a greenfield project as the company look to design their run away success application from the ground up. New stack (C#, .NET) and new architecture - this represents a great chance to put your design and programming skills to work right at the start. Our client is a successful Fintech, underwritten by P.E. investment, growing 30% YoY, which has a very strong balance sheet and highly focused and motivated leadership team. We're looking forward to speaking to senior and lead C#, .NET engineers with the following profile:- • A minimum 8 years of professional software engineering experience, with extensive experience working with C# and the .NET framework., • Comfortable working in cloud environments, our client has selected AWS, but experience with other cloud techs - Azure, GCP also of interest, • Proven track record as a hands-on senior frontend engineer - you design and deliver production features while supporting team development, • Strong software engineering fundamentals: Object-oriented programming, design patterns, SOLID principles, automated testing, CI/CD, • API integration: Experience consuming REST APIs, handling asynchronous data, error handling, and loading states, • Modern database knowledge: Strong SQL skills, database design, and optimization You'll be happy producing high quality code and collaborating closely with key stakeholders, including Product. As a senior C# developer you'll also be comfortable guiding and mentoring more junior engineers. This is a role that comes with a high degree of autonomy and there is an expectation that you will be passionate about your craft and build that culture around you. If this sounds like the move you're looking for in 2026, please get in touch us (we're working over the festive period) and we'd be happy to share further details with you. TheDifferenceEngine is a recruitment agency, retained by our client to help them find the best in the market. Promising candidates can be assured of a typical 24 hour response from initial contact.

Our values: Ambition. Humility. Care. We're fixing fashion's $300 billion fit problem - before clothes are even made. 71% of returns are fit-related, generating 4 billion pounds of textile waste annually and contributing to <10% of global carbon emissions. We use AI and data science to help fashion brands get the cut right in production, preventing returns and waste at the source rather than just predicting them. Our platform acts as an AI co-pilot for buying and production teams, turning 30 years of fashion expertise into data-backed decisions. Founded by Phoebe Gormley, we've just closed the UK's largest female-founded pre-seed ($4m) led by Albion and SuperSeed, setting us up to build the team and product that will fix fashion's fit problem. The role: Fit Collective's success depends on deeply understanding customer data and putting it to work. Working alongside a cross-functional data and engineering team you’ll contribute to key product initiatives, including: • Customer-facing web app: Develop the interface that surfaces actionable insights to buying and production teams at the right moment, • AI pre-production co-pilot: Build the next-generation product that guides designers through the creation process, preventing fit issues before garments are made, • Customer onboarding platform: Allow our customers connect their systems (PLMs, Shopify, returns data) to our platform through a guided, self-service flow, • AI-powered features: Working alongside our data team, you'll build the interfaces that surface predictions and insights to users, • E-commerce integrations: Create plugins that inject personalized size recommendations directly into product pages in real-time. Your work will directly impact returns, revenue, and waste for major fashion brands. Our tech stack: • Languages: TypeScript, JavaScript, Python, • Frontend: React, • Backend: FastAPI, Cube.dev, • Database: Postgres, Snowflake, • Cloud & Infrastructure: Docker, AWS (ECS/ECR, Lambda, RDS, S3, Cloudfront, etc.), • Cache & Search: Redis (ElastiCache), Elasticsearch (AWS OpenSearch) What We’re Looking For: Must-haves: • 3+ years software engineering experience: ideally with TypeScript and Python, in production environments, • Frontend expertise: Strong React skills - you can build responsive, polished interfaces that users love, • Backend fundamentals: Experience building APIs (FastAPI or similar) and working with relational databases, • Cloud-native mindset: You've deployed and maintained production systems on AWS (or similar) and understand how to build for scale, • Startup DNA: You've either worked at an early-stage company or built and shipped side projects from scratch that people actually use. Nice-to-haves: • Background in ML infrastructure or serving models in production, • Experience building AI-powered features or LLM integrations, • Worked with Redis or Elasticsearch, • Experience integrating with third-party platforms (Shopify, PLMs, ERPs), • Understanding of the fashion/retail industry What matters most to us: • You ship. You balance quality with speed and aren't precious about perfect code when good code solves the problem, and take full ownership of getting features into production, • You're product-minded and customer obsessed. You care about the "why" behind features and can push back constructively when something doesn't make sense, • You're pragmatic about AI. You use LLMs to improve your productivity, freeing up your time to focus on solving difficult problems Overview: • Location: UK-based, • Work Style: Hybrid (~2 days per month in the office in London), • Employment Type: Full-Time, • Salary: £60-100K/year (depending on experience), • Equity: via employee share option scheme, • Holiday: 25 days + bank holidays, and a day off on your birthday Why Fit Collective? We’re not just looking for a Full Stack Engineer; we’re looking for someone who wants to make a difference. Join us in creating a friendly, innovative, and high-performing culture where your contributions will have an immediate impact on our customers. If you want to build products that directly reduce waste in a trillion-pound industry while working with a small, focused team, we can’t wait to meet you!