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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.

FE Tech is a trusted Learning Technology Marketplace, bringing together suppliers, users and enthusiasts across further education. We help organisations adopt and embed AI, learning technology and digital transformation in practical, meaningful ways - that create real ROI. We’re looking for a proactive, technical and results-driven candidate to deliver FE Tech customer projects focused on AI, learning technology and digital transformation. This role sits at the intersection of strategy, technology and execution. You’ll work directly with customers to identify challenges, shape solutions, and support adoption of off-the-shelf tools - with light-touch configuration and delivery management. What you’ll do The role includes, but is not limited to: Discovery & Strategy • Working with customers across multiple sectors to understand business, operational and learning challenges, • Analysing complex data, insights and identifying where AI, automation and learning technology can deliver measurable value, • Translating challenges into clear, realistic digital and AI-enabled solutions, • Designing practical roadmaps that balance ambition with delivery Solution Design & Light-Touch Execution • Selecting and implementing off-the-shelf AI, automation and learning technology products, • Configuring platforms, workflows and integrations at a light-touch level (no heavy engineering required), • Supporting proofs-of-concept, pilots and early-stage deployments, • Knowing when to execute directly and when to involve specialist partners Technology Integration & Ecosystems • Supporting customers operating within Google Workspace, Microsoft 365 and Apple environments, • Understanding identity, access, onboarding and system management at a practical level, • Helping customers integrate AI and learning tools into existing digital ecosystems, • Acting as the bridge between business goals, technology capability and end users Customer Engagement & Delivery • Acting as a trusted, outward-facing consultant for FE Tech customers, • Managing customer relationships through the full lifecycle: discovery, design, delivery and optimisation, • Working closely with AI, edtech and digital learning partners, • Supporting change management, adoption and user confidence, • Desirable: comfortable facilitating customer enablement/ training sessions covering technical and AI-related topics Insight & Growth • Staying up to date with AI, learning technology and digital transformation trends across sectors, • Sharing insights and best practice with customers and the wider FE Tech community What does matter: • Experience working with AI, automation, digital learning or transformation initiatives, • Strong understanding of modern SaaS platforms and how they integrate, • Practical working knowledge of Google, Microsoft and Apple ecosystems, • Confidence translating between technical concepts and business outcomes, • Comfort executing light-touch configuration and integrations, • Curiosity, adaptability and a desire to stay ahead in a fast-moving space If you have the desire, attitude and capability to succeed...we’ll back you. Why FE Tech You’ll join a growing organisation with big ambitions - and the opportunity to shape customer success, delivery standards, and how FE Tech is seen as a trusted partner in AI and digital learning transformation.

About Mirantis Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable, production-ready developer platforms across any environment—on-premises, in the cloud, at the edge, or in sovereign data centers. As enterprises navigate the growing complexity of AI-driven workloads, Mirantis delivers the automation, GPU orchestration, and policy-driven control needed to manage infrastructure with confidence and agility. Committed to open standards and freedom from lock-in, Mirantis ensures that customers retain full control of their infrastructure strategy. Job Description Mirantis is inviting an experienced and client-focused Senior Solution Architect to join our dynamic client-facing technical team. You will develop trusted advisor relationships with prospects and customers by educating, presenting, demonstrating, and conducting POCs of Mirantis’ AI Infrastructure platform. This role offers the opportunity to work on ambitious, cutting-edge technology within the fast-evolving AI and cloud-native ecosystems. Responsibilities Partner with sales to support enterprise opportunities, and help customers understand the value of Mirantis’ industry-leading AI and Kubernetes-based solutions. Lead technical discovery sessions, demos, and proof-of-concept engagements with customers and partners. Translate customer requirements into solution architectures leveraging Mirantis’ products and best practices. Deliver engaging technical presentations and live demonstrations that showcase Mirantis’ platform capabilities, business value, and open-source innovation. Provide field feedback to influence product direction and go-to-market strategy. Serve as a trusted technical advisor – building and maintaining long-term relationships with client stakeholders while representing their needs within Mirantis. Represent Mirantis at industry events, conferences, and community meetups by delivering technical sessions, demonstrations, and thought leadership content. Qualifications 5+ years’ experience in a pre-sales, solutions architecture, or technical consulting role for cloud-native or enterprise software. A working knowledge of: Cloud infrastructure, including Kubernetes, OpenStack, Docker, microservices, and public cloud services (AWS, GCP, Azure) AI/ML infrastructure tools (e.g., Kubeflow, MLflow, NVIDIA AI), and how they integrate with cloud-native platforms DevOps and automation tools, including CI/CD pipelines Observability tooling, including open-source monitoring, logging, and alerting systems Strong understanding of the competitive landscape within the cloud infrastructure and open-source ecosystem. Track record of delivering outcomes for Fortune 500 clients and influencing senior IT/engineering leaders (CIO, CTO). Exceptional written, verbal, and presentation skills with the ability to communicate complex ideas clearly to technical and business audiences. Ability to travel to customer sites and events as needed. Preferred Qualifications Strong hands-on experience with Kubernetes, Docker, containers, virtualization technologies (vSphere, OpenStack), and leading public cloud platforms such as AWS, Google Cloud Platform, and Azure. Industry certifications (AWS, Azure, Kubernetes), especially Certified Kubernetes Administrator (CKA) Proven experience with enterprise-grade security, compliance, and regulatory frameworks. Comfortable operating in global, remote, and hybrid environments, with a demonstrated ability to manage complex projects across multiple teams and stakeholders. Soft Skills and Team Fit Proven problem-solving, consultative, and relationship-building skills. Entrepreneurial drive with a passion for learning and continuous improvement. High integrity, transparency, and a collaborative mindset. Additional Information What does Mirantis offer you? • Work with an established Silicon Valley leader in the cloud infrastructure industry;, • Work with exceptionally passionate, talented and engaging colleagues, helping Fortune 500 and Global 2000 customers implement next-generation cloud technologies;, • Be a part of cutting-edge, open-source innovation;, • Thrive in the high-energy environment of a young company where openness, collaboration, risk-taking, and continuous growth are valued;, • Professional development and training;, • Attend conferences and working groups;, • Company outings, happy hours, hackathons, and tech talks;, • Receive a competitive compensation package with a strong benefits plan. It is understood that Mirantis, Inc. may use automated decision-making technology (ADMT) for specific employment-related decisions. Opting out of ADMT use is requested for decisions about evaluation and review connected with the specific employment decision for the position applied for. You also have the right to appeal any decisions made by ADMT by sending your request to By submitting your resume, you consent to the processing and storage of your personal data in accordance with applicable data protection laws, for the purposes of considering your application for current and future job opportunities. We are a Leader for Container Management in G2 (#2 after AWS)!

Our client, an innovative and fast-growing AdTech company, is seeking a Senior Product Manager to drive the next stage of their product evolution. This organisation is a leader in digital advertising protection and performance intelligence, helping global brands maximise ROI across Google PPC, PMAX, and Affiliate Marketing channels. The Role: Reporting directly to the Chief Product Officer, you will take full ownership of product strategy, MVP planning, and launch execution. You’ll also manage a Product Owner and collaborate closely with Engineering, Sales, Marketing, and Customer Success. You’ll help shape the roadmap as the business expands its offering across e-commerce, retail, travel, gaming, and financial services - building products that deliver measurable improvements in advertising performance and revenue impact. Key Responsibilities • Lead product strategy as the company evolves into optimisation and performance-focused solutions, • Own MVP definition, delivery, and market rollout, • Partner closely with Sales to ensure alignment with customer needs and commercial opportunities, • Deliver high-impact product launches with strong value propositions, • Present roadmaps, feature specs, and performance insights to internal and external stakeholders, • Maintain deep market and competitive intelligence across the AdTech ecosystem, • Manage and mentor a Product Owner, • Conduct customer discovery across multiple verticals, • Define and track KPIs related to adoption, performance, and satisfaction Desired Experience: • 5+ years of product management and 5+ years of AdTech experience (concurrent experience acceptable), • Strong track record launching successful B2B SaaS products, • Deep understanding of Google Ads, PPC, PMAX, affiliate ecosystems, and advertising optimisation, • Strong command of key advertising metrics (ROAS, CPC, CAC, CTR, CPM, CVR, LTV, etc.), • Experience with analytics tools such as Google Ads reporting; Looker or FullStory is a plus, • Exceptional communication skills across technical and non-technical audiences, • Experience managing direct reports, • Strong analytical mindset and data-driven decision-making, • Understanding of API integrations and Agile methodologies Bonus: • Experience building optimisation or AI/ML-powered AdTech solutions, • Background growing products across multiple verticals, • Industry thought leadership or published content, • Experience working with enterprise clients and complex sales cycles, • Previous startup or scale-up experience, • Google Ads certifications What's on offer: • Direct partnership with the Chief Product Officer, • Leadership responsibility with a growing team, • Opportunity to influence strategy in a rapidly scaling AdTech organisation, • Flexible/remote working environment, • A collaborative, high-performing culture

We are addressing the "adapt-or-die" reality that brands face as search shifts from keyword-matching to AI-driven discovery in interfaces like ChatGPT and Google AI Mode. Leverage AI and data analysis (customer queries, first-party data, Google, ChatGPT, Perplexity) across 100+ markets to

Principal Data Engineer Location: United Kingdom Our Client They are a global content solutions company, powered by technology and human expertise. They help organisations grow the value of their ideas, data, and content by enabling them to be understood - everywhere. With over 45 AI patents, industry-leading technology, and expert talent, they support more than 80 of the world’s top 100 brands. Their teams operate across 60+ locations worldwide, delivering solutions that accelerate time-to-market, deepen customer engagement, and unlock new global opportunities. Role Overview As Principal Data Engineer, you will be a senior technical leader responsible for shaping the architecture, scalability, and evolution of the enterprise data platform. This role goes far beyond delivery. You will define technical strategy, design scalable data systems, mentor senior engineers, and partner closely with product, engineering, analytics, and business leaders to transform strategic goals into robust, data-driven solutions. You will have significant autonomy to influence architectural decisions, introduce best practices, and create a lasting technical legacy across the global data ecosystem. Key Responsibilities • Lead the design and evolution of scalable, secure, and reliable data architectures supporting BI, analytics, and ML workloads., • Define and drive data engineering standards, architecture patterns, and best practices across teams., • Influence technical strategy across engineering, product, and analytics through clear communication and stakeholder collaboration., • Anticipate future data needs, balancing long-term vision with pragmatic delivery., • Own reliability, performance, and observability of critical data systems, including SLO definition and operational resilience., • Mentor and develop senior data engineers through architecture reviews, technical coaching, and knowledge sharing., • Champion data quality, governance, monitoring, incident response, and cost optimisation., • Evaluate emerging tools and technologies, guiding adoption where they deliver genuine business value. Skills & Experience • Extensive experience designing and operating large-scale, cloud-based data platforms., • Deep expertise in data engineering fundamentals: data modelling, pipeline orchestration, distributed systems, and performance optimisation., • Strong architectural judgement, balancing technical excellence with business outcomes., • Proven leadership and influence across cross-functional teams., • Demonstrated success mentoring senior engineers and scaling team effectiveness., • Exceptional communication skills, including technical writing, documentation, and executive presentations., • Strong business acumen with the ability to connect technical decisions to measurable ROI. Desirable Experience • Hands-on experience with Google Cloud Platform (Big Query, Data form, Cloud Composer)., • Metadata management and data cataloguing (e.g., DataHub, Alation)., • Modern orchestration platforms (Airflow, Prefect, Dagster)., • Cloud-native architectures, including Kubernetes, serverless, and Infrastructure as Code., • Data mesh or decentralised data architecture implementations., • Model Context Protocol (MCP) for data assets., • Open-source contributions or active participation in the data engineering community.

At Orange Logic, we’ve been solving complex content challenges for over two decades—driven by innovation, curiosity, and a passion for impact, our intelligent Digital Asset Management (DAM) system, Orange Logic Platform, empowers organizations across industries to manage, access, and leverage their digital assets more effectively. We’re not just building powerful software—we’re building a team of bold thinkers, collaborators, and problem-solvers who care deeply about delivering real value. The DevOps Engineer introduces processes, tools, and methodologies to balance needs throughout the software development life cycle, from coding and deployment to maintenance and updates. Your Role at Orange Logic: • Infrastructure provisioning, optimization and management., • Cloud architecture & system administration., • Manage and improve the observability stack (metrics, logs, traces, alerting, visualization)., • Dealing with security requirements and automations proposing a good balance., • Acts as the DevOps advocate; helps evangelize and educate the DevOps way across the organization., • Develop new system and application plans to ensure operational reliability., • Assist in managing and maintaining a network of hosted servers., • Enforce / help about security good practices at dev level to prevent breaches., • Participate to optimize cloud costs. Ideal Qualifications: • Experienced Infrastructure as Code with CloudFormation/Terraform., • Experienced on containers approach with Docker (Linux and Windows)., • A Subject Matter Expert on cloud infrastructure (e.g. AWS, Google Cloud, Azure)., • Experience with CI/CD pipelines (Jenkins, TeamCity, Azure Pipelines) and ElasticSearch, • Experience with configuration management tools (e.g. Chef, Puppet or Ansible)., • Experience in cloud native approach and containers orchestration tools (e.g. Kubernetes)., • Proficient with Windows/Linux systems using a terminal (e.g. Bash, Powershell)., • Hands-on experience with developer toolset and practices such as using source control, giving and receiving code reviews, writing unit tests and familiarity with agile principles., • Strong understanding of common system architecture, provisioning and automation. Perks of joining the team: • Competitive compensation and benefits designed to support you now and as you grow, • Remote-first culture that values flexibility, trust, and work-life balance, • Join a high-growth company where your work directly shapes the product, the team, and your long-term career trajectory How to get started: If you’re up for the challenge to be part of a growing DevOps team we’d like to hear from you. Apply today! Note: Orange Logic only communicates with candidates through official company email addresses ending in @orangelogic.com or directly via LinkedIn from an official Orange Logic Talent Acquisition employee. We do not conduct interviews via text message, nor do we ever ask candidates to purchase equipment or provide payment information at any stage of the hiring process. 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 ___.

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.

Reports to: Technology Director / Executive Sponsor Location: Remote with occasional travel to London (2 times a month) Contract: Full-time, permanent Base Salary: £70,000 – £80,000 location and experience dependent + 10% company bonus scheme and sales commission scheme Why This Role Exists Serve Legal is entering a new chapter: evolving beyond compliance auditing into AI enabled, data-driven products, platforms, and services that shape the future of compliance and consumer intelligence. To make this happen, we’re launching an Innovation Labs function—an agile environment to rapidly design, build, and test new client-facing digital products and AI Agents. The Senior Product Engineer will be at the heart of this, working alongside the Technology Director and the Innovation Labs' Data Scientist. You’ll own the end-to-end engineering and leverage AI tooling to develop prototypes, MVPs, and productised tools and AI Agents—bringing Serve Legal’s data and insights to life for clients. You already have solid engineering foundations and work with AI enabled IDEs (Cursor, Windsurf, etc), but you are keen to use AI powered platforms to develop applications (e.g. Lovable, Replit, Bolt). This is a startup-style role inside an established SME, with freedom to experiment, fail fast, and iterate—balanced with accountability to deliver deployable, client-ready digital products. What You’ll Do • Design & Build Prototypes: Leverage AI tools to engineer digital prototypes and MVPs that translate Serve Legal’s datasets into usable, scalable products. Develop APIs, dashboards, and interactive client tools and agents for compliance and consumer insight., • Run Innovation Labs Engineering: Partner with the Data Scientist to test, refine, and productionise algorithms and models. Apply lean/agile principles to develop proof-of-concepts quickly and effectively., • Incorporate AI-enabled platforms, low-code/no-code accelerators into the team´s workflow., • Product Engineering & Deployment: Build robust, cloud-native environments that allow rapid experimentation and easy scale-up. Ensure seamless transition of prototypes into production in collaboration with Serve Legal’s data team., • Champion Product Innovation: Translate business and client needs into clear product engineering solutions. Act as a bridge between technical prototypes and client-facing experiences. Core Skills & Mindset • Inventor + Builder – enjoys building tangible products that bring AI, data and algorithms to life., • AI supportive - believes that the right AI tooling can help inform and expedite delivering value., • Full-Stack Thinker – comfortable across front-end, back-end, API and AI development., • Agile Operator – thrives in MVP cycles, rapid prototyping, and iterative delivery., • Commercial Awareness – understands client-facing product needs, UX, and scalability., • Collaborative Spirit – works fluidly with data scientists, commercial teams, and ops leaders. Hard Skills Required • Software Engineering: Strong in at least one modern language (JavaScript/TypeScript, Java, Python), • Web & Product Development: Frameworks (React, Node.js, Django/Flask), • AI, GenAI and LLMs: OpenAI, Gemini, Grok, Llama, • Agentic AI: Frameworks (langchain, langgraph, Google ADK), • AI enabled code tooling: Cursor, Windsurf, GitHub copilot, • AI powered platform development: Lovable, Replit, Bolt, • APIs & Microservices: RESTful APIs, GraphQL, microservice architectures, • Cloud & DevOps: AWS, Azure, or GCP; Docker; CI/CD pipelines, • Data Integration: Products integrating ML/AI models, databases, BI tools, • UI/UX Awareness: Collaborate on interfaces, data visualisation, user journeys, • Other: Version control (Git/GitHub), testing frameworks, security & optimisation Experience That Helps • 6–10+ years in software/product/AI engineering with a track record of building client-facing products, • Proven experience in rapid prototyping, innovation labs, or product R&D teams, • Commercial experience with AI enabled products using GenAI (LLMs) or Machine Learning, • Familiarity with compliance, retail, FMCG, or operational intelligence systems (advantageous), • Prior startup or SME experience where engineers own end-to-end delivery is highly valued What’s in It for You • The chance to design, build, and launch new digital products inside a market-leading SME, • Freedom to experiment and engineer with AI in a greenfield innovation function, • Remote-first flexibility, with in-person collaboration when needed, • Access to unique compliance and consumer datasets, • Competitive salary and the opportunity to shape Serve Legal's future offering

STAFF ENGINEER 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 behavioural 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 a Staff Engineer, you’ll be a technical leader in the Platform Team, focusing on hands-on development, architecture, and mentorship. You’ll work with real ML datasets, Rubix data, and large-scale ad traffic analytics, building features for the Data Science team and launching new ML models. This role is not about people management—it’s about owning technical design, writing high-quality code, and driving innovation. Specifically, you can expect to be involved in the following: • Technical tasks: Improving real-time traffic tracking, deploying new ML models, and optimizing big data pipelines., • Collaboration: Working closely with Product, Data Science, and engineering teams to solve complex problems. SKILLS AND EXPERIENCE The successful Staff Engineer will have the following skills and experience: • 5+ years of Python engineering experience, with a focus on big data, ML, or adtech., • Deep hands-on expertise in Python and an understanding of JavaScript/TypeScript/React (even if you won’t write 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., • Thrives in fast-paced, high-autonomy environments—stable tenure and a proactive mindset are key. BENEFITS The successful Staff Engineer 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.

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

A governmental transport department in the UK is seeking a Lead Data Engineer to lead the development and operation of secure data pipelines on Google Cloud Platform.This role involves managing live data services and mentoring engineers while ensuring high data delivery quality.The successful candid

Strong experience across a range of SEO and CRO tools (Not limited to Google Tag Manager, Google Analytics, VWO, Instapage, Data Studio, HotJar, Optimizely, Optimize, SEM Rush; Ahrefs; Screaming frog; Webtrends etc). Knowledge of SEO best practice. We strongly encourage integration across all discip

Familiarity with data analytics platforms and delivery would be a distinct advantage including experience working with data engineering, data analytics, data visualisation and data science teams using platforms such as Alation, Soda, Microsoft SQL Server, Google Cloud Platform, DBT, Snowflake Cloud

Software Engineer, Data Infrastructure & Acquisition - Leeds, United Kingdom.The mission of Speechify is to make sure that reading is never a barrier to learning.Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news art

A leading tech company in the UK is seeking a Data Center Strategic Negotiator to support its infrastructure needs. The role involves managing vendor relations, negotiating agreements, and overseeing development strategies for data centers.

Responsibilities include conducting quantitative analyses, utilizing SQL for data management, and implementing automated solutions to enhance reporting processes. Proficiency in data visualization tools and strong communication skills in multiple languages are preferred.

Invest in appropriate data governance and access management controls; ensure both assets and underlying data are well‑governed, discoverable, and trustworthy (leveraging existing Google tools and knowledge where appropriate). Data Engineering, Analytics, or Data Science), including significant exp

In this role, you will manage complex projects, ensuring reliability and efficiency in data center environments.

You will focus on administering and developing the Snowflake data platform, building robust ETL/ELT data pipelines, and transforming data for analytics and marketing. A leading data solutions company located in Brighton is seeking an experienced Data Engineer (Snowflake) to join its team. The ideal

The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that blend the best of Google AI, software, and hardware. Develop comprehensive knowledge of Google data struc

This role involves managing and optimizing Google Ads campaigns, focusing on performance and data-driven decision making. Ideal candidates will have 1–3 years of experience in Google Ads management and possess strong analytical and communication skills.

A global technology company is seeking a Network Implementation Engineer to design and oversee the deployment of data networks.

A leading technology company is seeking a Network Implementation Engineer to drive deployment and operations of private data networks globally. Responsibilities include drafting design sets, planning for construction in colocation facilities, and reviewing proposals related to data center builds.

See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire. To all recruitment agencies: Google does not accept agency resumes. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-dis

A leading technology company located in Greater London is seeking a Technical Program Manager to oversee complex data center projects. The ideal candidate will have substantial project management experience, especially in data center environments, along with a bachelor's degree.

See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. Google's hybrid workplace includes remote roles. The Data Center team designs and operates some of the most sophisticated electrical and HVAC systems in the world.

From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. Maintain the security and integrity of data, track various forms of media to check for non-standard data security issues (e. See also Google's EEO Policy

A leading technology firm in the UK is seeking a Technical Program Manager for Data Center Capacity Planning. Responsibilities include understanding space and power management for data centers, developing metrics related to infrastructure capacity, and collaborating closely with operations and engin

The role involves investigating and improving data quality, setting agendas for development, and collaborating with teams. The ideal candidate has over 3 years of experience in data processing and LLM evaluation. They will be expected to bring technical skills in Python/C++ to develop high-quality d

Experience with developing data warehousing, data lakes, batch/real-time event processing, streaming, data processing (ETL/ELT), data migrations, data visualization tools, and data governance on cloud native architectures. Experience with big data technologies or concepts, such as analytics warehous

As a Technical Program Manager at Google, you’ll use your technical expertise to lead multi-disciplinary projects from start to finish. Google is proud to be an equal opportunity workplace and is an affirmative action employer. Ability to deliver clear, concise, and effective communications, tailo

A global technology company in London seeks an experienced Industry Manager to lead relationships with retail clients.This role involves managing C-level partnerships, developing effective marketing strategies, and driving growth.The ideal candidate will have extensive experience in digital advertis

In this role, you will design and deliver cutting-edge data center infrastructure while collaborating with internal groups and engineering firms. The ideal candidate has a strong background in architecture and data center design, with at least 5 years of experience, particularly in mission-critical

A tech giant in Greater London is seeking a Data Center Technician III to deploy and maintain cutting-edge data center infrastructure. This opportunity promises collaborative engagement with diverse teams and a commitment to the highest standards of data security.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Understand space and power management for data center environments.

A leading technology firm is seeking an experienced Applied Data Scientist for a Fixed Term Contract in London. The role involves leveraging advanced SQL and Python skills to analyze data and drive strategic decisions related to People & Culture.

This position requires flexibility in working hours and involves maintaining data security.

A leading technology company in the United Kingdom is seeking a Technical Program Manager, Data Center Design.

A leading technology company is seeking a Civil Engineer to provide expertise in design-related activities for data center sites. Candidates should have a Bachelor's degree, 10 years of experience in civil/structural engineering, and experience with data centers.

Experience with developing data warehousing, data lakes, batch/real-time event processing, streaming, data processing (ETL/ELT), data migrations, data visualization tools, and data governance on cloud native architectures. Experience with big data technologies or concepts, such as analytics warehous

From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. You will partner with the Google Data Center Engineering team, Hardware Operations, Network Infrastructure, and third-party data center vendors and opera

A leading global technology firm is seeking a Data Analytics Sales Specialist to enhance their Data Analytics business. Ideal candidates will have over 10 years of experience in sales, especially within enterprise software and data management. Strong knowledge of big data technologies and cloud comp

A leading technology firm in the United Kingdom is seeking a Technical Program Manager to lead complex data center design projects. The ideal candidate has a strong background in task prioritization, planning, and data center design.

Working closely with colleagues across the Data & Analytics Engineering teams, you will help architect, build, and optimise new data platforms or migrate existing solutions to Google Cloud. Serve as an expert in data transformation, storage, retrieval, security, and governance, ensuring scalable, se

The role involves managing data center planning, developing infrastructure supply plans, and working closely with stakeholders to ensure accountability and on-time performance.

Experience conducting research or other innovative analyses, involving methodologies or data sources and working with text data or datasets. Maintain effective working relationships with partners across Google, including GDM, Research, Public Policy, Search, Google Trends, Behavioral Economics, to l

From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. The Data Center Engineering team takes the physical design of our data centers into the future. Note: Google's hybrid workplace includes remote roles.