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Become part of a mission-driven digital organisation shaping national services used by millions across the UK. The Driver and Vehicle Standards Agency (DVSA) is working with Inspire People to recruit a Lead Enterprise Architect with strong enterprise architecture expertise, strategic roadmap development, governance and large-scale digital transformation capability. 60% office-based in your designa... ZIPC1_UKTJ

Job Title: Architectural Technician Ref: BM135 Location: Bury Salary: £35,000 - £40,000 This is a fantastic opportunity to join a dynamic RIBA chartered practice who provide a wide range of expertise to the residential, commercial, healthcare, and industrial sectors. They are on the lookout for a proactive and talented Architectural Technician to join their team in Bury. Benefits for the role of Architectural Technician include: • Highly competitive salary, • Contributory pension scheme, • Hybrid working, • Generous holiday allowance, • Professional development, • Manage and deliver various projects from inception through to completion, • Prepare building regulation packages and submit planning applications, • Undertake site visits and surveys to ensure technical compliance and high quality, • Relevant degree within Architecture or Architectural Technology, • Strong post qualification experience as a Technician within a UK practice, • Proficiency with AutoCAD and Revit, • Experience managing projects across various sectors, • Strong working knowledge of UK building regulations, • Strong technical and design skills, • Strong attention to detail, • Excellent communication and organisational skills, • Ability to work well independently and within a team

Lead AI/ML Engineer - (Fintech/Lending & Decision Systems) - Dubai OR Remote The Opportunity A high-growth, technology-led business is building next-generation, AI-powered lending and decisioning systems from the ground up. This is a foundational leadership role—owning the architecture, strategy, and execution of intelligent lending infrastructure. You’ll operate at the intersection of AI, risk, and product, shaping systems that are autonomous, scalable, and grounded in strong ethical and regulatory principles. If you’re motivated by building production-grade AI systems that directly impact real-world decision-making, this role offers both ownership and scope. What You’ll Own • End-to-end design of AI-driven lending and decisioning systems (data → models → decision engines → feedback loops), • Development of agentic AI frameworks to automate and optimise underwriting, risk, and customer journeys, • Deployment of self-improving systems with continuous learning and real-time adaptation, • Technical vision and roadmap for AI within a regulated, high-stakes environment, • Cross-functional alignment across Product, Engineering, Risk, and Operations, • Leadership and scaling of a high-performing AI/ML team What You’ll Build • Intelligent risk and decisioning engines capable of operating with minimal human intervention, • Scalable data and model pipelines for high-volume, high-accuracy predictions, • Transparent, auditable AI systems aligned with regulatory and ethical standards, • Customer-centric AI experiences that improve speed, accuracy, and trust in lending Your Background • Led AI/ML teams in financial services or similarly regulated environments, • Built or scaled lending, credit, or decisioning platforms, • Deep expertise in machine learning and production AI systems, • Strong understanding of regulatory frameworks and risk management, • Ability to operate at both strategy and execution level, • Comfortable in high-growth, ambiguous environments Differentiators (Nice to Have) • Experience with agent-based systems or LLM-powered workflows, • Exposure to ethical AI and model governance frameworks, • Product or UX sensibility in customer-facing financial tools, • Experience scaling teams in early-stage or fast-growth environments, • Arabic or additional language capabilities

You will: • Work with a close team of passionate GPU architects with a relentless focus on efficiency, • Understand industry trends and their impact on the GPU, • Communicate with other stakeholders to gather new ideas and requirements for our GPUs, • Be responsible for the investigation, specification and delivery of detailed, architectural feature specifications, • Perform deep analysis in order to produce solutions that meet the required power, performance, area and bandwidth requirements., • Work with the research group to map novel algorithms to efficient implementations, • Work with the modelling team to explore and evaluate new ideas and produce performance targets, • Work with the product team to define a forward-looking technology roadmap that progresses in PPA and features every generation, • Assist the implementation team through design and verification, • Work with the performance team to review data and validate the power, performance, area and bandwidth of the completed implementations, • Participate in engineering reviews and recommend improvements, • Have the opportunity to influence and advance our long-term technology roadmap, • Liaise with key customers and industry standards bodies (such as Khronos) where required About you Committed to making your customers, stakeholders and colleagues successful, you’re an excellent communicator, listener and collaborator who builds trusted partnerships by delivering what you say, when you say. You’re curious, solutions orientated and a world-class problem solver who constantly seeks opportunities to innovate and achieve the best possible outcome to the highest imaginable standard. You'll have: • Experience with GPU architecture or similarly large, complex systems, • A good understanding of modern 3D graphics and/or compute APIs, such as Vulkan, D3D12 and OpenCL, • An understanding of digital ASIC design methodologies and constraints, • The ability to plan, estimate and track your own work, • Experience in independently driving architecture exploration activities that conclude with tangible and appropriate feature specifications, • An understanding of the design and verification challenges in order to make effective trade-offs to maximise engineering ROI, • The skill to clearly communicate technical issues and justify decisions to various audiences

About Esenda Esenda powers over £1.5bn of inbound and outbound payments annually, in the education space - from tuition and catering fees to supplier payments and payroll. We’re a revenue-generating startup with strong product-market fit, and we’re growing fast. Join us now and you’ll work on impactful features that directly shape our platform and make a real difference to our customers. What you’ll do • Design, build, and ship reliable backend services and APIs in Python (Flask) that power core product functionality., • Own features end-to-end: data modelling (Postgres), API design, testing, production rollout and ongoing improvements., • Help uphold strong engineering standards through thoughtful code reviews, testing discipline, clean architecture, and pragmatic decision-making., • Improve service reliability and operability: monitoring, alerting, logging, runbooks, and reducing on-call toil over time., • Work closely with the technical team to scope product ideas, focused on delivering customer-facing outcomes (not just “tickets”)., • Contribute to delivery practices: CI/CD improvements, incremental shipping, and maintaining a high-quality codebase., • You’ll join an on-call rotation (1 week in 4) compensation: paid as an extra £300 per on-call week. What we’re looking for • 5+ years experience building and operating production backend systems., • Strong experience with Python, and hands-on use of Flask (or similar frameworks)., • Solid understanding of Postgres (schemas, migrations, query performance, transactions)., • Experience designing and maintaining APIs (REST; event-driven experience is a plus)., • Comfortable shipping in cloud environments—ideally AWS—and working with modern CI/CD pipelines., • A strong quality mindset: you care about maintainability, security, reliability, and clear documentation. Bonus points for • Payments/fintech knowledge (reconciliation, idempotency, auditability, ledger concepts)., • Experience with distributed systems patterns (queues, background jobs, retries, rate limiting)., • Security experience (threat modelling, OWASP-style concerns, secure API design)., • Familiarity with Terraform. Why join us? • £60k salary + equity, • 40 days holiday (incl. bank holidays), • Pension scheme (3% employer contribution), • Fully remote, UK-based, with 3 in-person meetups per year, • A transparent, collaborative, and supportive culture Our stack (today) • Backend: Python, Flask, • Data: Postgres, • Cloud: AWS, • Edge: Cloudflare, • Infrastructure as Code: Terraform, • Delivery: CI/CD, automated testing, observability tooling How we work • Pragmatic, high-ownership teams with a bias to shipping, • Clear communication, strong collaboration, and continuous improvement, • Code reviews and sensible standards that keep quality high without slowing delivery Interview process • 30-min intro call (role fit, values, ways of working), • Practical exercise (small take-home or pairing session), • Technical interview (backend fundamentals, API design, production thinking), • Team chat + Q&A

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. Ideal Background: This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, and comparable institutions — though exceptional experience and skill always take precedence over pedigree. 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 — with a primary focus on Python across backend services, data pipelines, and ML infrastructure, alongside JavaScript (including ReactJS), C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? • Work on AI model training initiatives by curating code examples, building solutions, and correcting code — primarily in Python, with additional work in 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 and automated verification tools in Python that can verify the quality of 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 (3 years or more), • Strong expertise in Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software., • Experience building full-stack applications and deploying scalable 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, • Type: Contractor (no medical/paid leave), • Duration: 1 month (potential extensions based on performance and fit), • Location: Candidates must be based in the United States Evaluation Process: • The application process takes 15–30 minutes., • Completion of an AI video interview is required. 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.

*Banking/FS experience is must. Required Skills & Experience • Strong hands-on experience with Red Hat OpenShift (deployment, scaling, troubleshooting), • Proficiency in Ansible for configuration management and automation, • Solid understanding of Kubernetes architecture and container orchestration, • Experience with CI/CD tools (e.g., Jenkins, GitLab CI, Azure DevOps), • Strong knowledge of Linux/Unix systems administration, • Familiarity with Docker/containerization technologies, • Experience with cloud platforms (AWS, Azure, or GCP), • Good scripting skills (Bash, Python, or similar), • Understanding of networking, security, and monitoring tools

Role Overview We are seeking an experienced Scala Developer to join a dynamic team working on high-impact projects. The ideal candidate will have strong expertise in Scala and Play Framework, with a passion for building robust, scalable backend services and APIs. This is a fully remote contract role with an immediate start. Key Responsibilities • Design, develop, and maintain backend services and APIs using Scala and Play Framework., • Implement RESTful endpoints, manage request/response lifecycle, and handle authentication/authorization flows., • Write clean, idiomatic Scala code and apply functional programming principles where appropriate., • Develop and maintain automated tests (unit and integration) and support test automation initiatives., • Collaborate with product owners, UX designers, QA, and other engineers in an Agile environment (Scrum/Kanban)., • Participate in code reviews, architecture discussions, and pair programming sessions., • Troubleshoot and resolve production issues; contribute to reliability and observability (logging, metrics, alerts)., • Assist in defining CI/CD pipelines and deployment processes (e.g., Jenkins, GitHub Actions, Concourse)., • Produce concise technical documentation and handover notes. Must-Have Skills & Experience • 3+ years professional experience with Scala., • 2+ years hands-on experience with Play Framework (controllers, routing, forms, HTTP filters)., • Strong understanding of functional programming concepts and idiomatic Scala (immutability, monads; familiarity with Cats or Scalaz is a plus)., • Experience designing and consuming REST APIs, including JSON validation/serialization (Play JSON, Circe)., • Proficiency with relational databases (PostgreSQL) and/or NoSQL (MongoDB), including schema design and query optimization., • Proven experience writing unit and integration tests (ScalaTest, Specs2, Mockito, etc.)., • Familiarity with sbt and dependency management., • Experience with Git and branching strategies., • Good understanding of HTTP, web security best practices, and performance considerations., • Experience working in Agile teams and participating in ceremonies. If you're interested, feel free to reach out to me on

SEO Manager — Independent Digital Agency Location - Remote (UK-based) with monthly team meet-ups. Role Overview We’re looking for an experienced SEO Manager to lead organic search strategy across a portfolio of ecommerce and lead generation clients. This role is ideal for someone who thrives in an agency environment, enjoys working across multiple industries, and can balance strategic thinking with hands-on delivery. You’ll be responsible for planning and executing SEO campaigns that drive measurable growth in traffic, rankings, revenue, and leads. Working closely with content, development, paid media, and client services teams, you’ll help clients improve visibility across search engines while maintaining strong client relationships and commercial awareness. Key Responsibilities SEO Strategy & Delivery • Develop and execute SEO strategies for a range of clients across ecommerce and other sectors., • Conduct technical SEO audits and work with developers to implement fixes and improvements., • Lead keyword research, content gap analysis, competitor reviews, and search opportunity planning., • Optimise on-site SEO including metadata, internal linking, site architecture, and content recommendations., • Manage off-page SEO initiatives including digital PR, outreach, and backlink profile improvement., • Monitor algorithm updates and proactively adapt client strategies. Ecommerce SEO • Improve category, product, and faceted navigation performance for ecommerce clients., • Support SEO considerations for migrations, new site launches, and platform changes., • Work with merchandising and content teams to improve organic conversion performance., • Analyse organic revenue trends, product visibility, and customer search behaviour. Reporting & Analysis • Track and report on rankings, traffic, conversions, and revenue performance., • Build clear, actionable monthly reports and communicate insights to clients., • Use tools such as GA4, Search Console, Ahrefs/Semrush, Screaming Frog, and Looker Studio to identify opportunities and measure success., • Present recommendations and campaign updates confidently in client meetings. Client Management • Manage day-to-day SEO relationships with multiple clients simultaneously., • Translate technical SEO concepts into commercially focused recommendations., • Support upselling opportunities and contribute to client retention and growth., • Collaborate with account managers to ensure projects are delivered on time and within scope. Team Collaboration • Work closely with content writers, designers, developers, and paid media specialists., • Support junior team members through mentoring and knowledge sharing., • Contribute to internal process improvements and agency best practices. Skills & Experience Essential • 3+ years’ experience in SEO, ideally within a digital marketing agency., • Strong understanding of technical, on-page, and off-page SEO., • Experience managing multiple client accounts simultaneously., • Proven experience working with ecommerce websites and CMS platforms such as Shopify, WooCommerce, Magento, or BigCommerce., • Strong analytical skills with confidence interpreting SEO and GA4 data., • Excellent communication and presentation skills., • Experience using industry tools including:, • Google Analytics 4, • Google Search Console, • Screaming Frog, • Ahrefs, Semrush, or similar, • Looker Studio Desirable • Experience with international SEO and multilingual sites., • Familiarity with CRO principles and UX best practices., • Understanding of HTML, CSS, and JavaScript SEO considerations., • Experience supporting paid search or integrated digital campaigns., • Agency experience working across diverse sectors. What We’re Looking For • Organised and able to prioritise across multiple projects and deadlines., • Commercially minded with a focus on delivering measurable results., • Curious, proactive, and up to date with SEO trends and algorithm changes., • Comfortable working independently while collaborating as part of a wider agency team., • Someone who enjoys variety and solving different client challenges every day. Working Style • Fully remote role within the UK., • Monthly in-person meet-ups for collaboration, planning, and team socials., • Flexible working environment focused on outcomes and performance

Scala Developer - UK/Remote My client are seeking a talented Scala Developer to join their engineering team and contribute to the design and development of scalable, high‑performance applications. This role involves working on modern distributed systems, building APIs, and collaborating with cross‑functional teams to deliver enterprise‑grade solutions. Key responsibilities: • Design, develop and maintain backend services and APIs using Scala and Play Framework., • Implement RESTful endpoints, manage request/response lifecycle, and handle authentication/authorization flows., • Write well-structured, idiomatic Scala and use functional programming patterns where appropriate., • Build and maintain automated tests (unit, integration), and support test automation efforts., • Collaborate with product owners, UX, QA, and other engineers in an Agile environment (Scrum/Kanban)., • Participate in code reviews, architecture discussions and pair programming., • Troubleshoot and resolve production issues; contribute to reliability and observability (logging, metrics, alerts)., • Help define CI/CD pipelines and deployment processes (e.g., Jenkins/GitHub Actions/Concourse)., • Produce concise technical documentation and handover notes. Must-have skills & experience: • Strong professional experience with Scala (minimum 3+ years)., • Hands-on experience with Play Framework (2+ years) — building controllers, routing, forms, and HTTP filters., • Solid understanding of functional programming concepts and idiomatic Scala (e.g., immutability, monads, cats/Scalaz familiarity advantageous)., • Experience designing and consuming REST APIs, JSON validation/serialization (Play JSON, Circe)., • Experience with relational databases (PostgreSQL) and/or NoSQL (MongoDB), including schema design and query optimisation., • Proven experience writing unit and integration tests (ScalaTest, Specs2, Mockito, etc.)., • Familiarity with build tools (sbt) and dependency management., • Experience with Git and branching strategies., • Good understanding of HTTP, web security best practices, and performance considerations., • Experience working in Agile teams and participating in ceremonies.

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. Ideal Background: This role is ideal for engineers who have worked at the frontier of AI — at companies like OpenAI, NVIDIA, Databricks, Palantir, Snowflake, or similar organizations pushing the boundaries of intelligent systems. We especially welcome graduates from leading programs such as Harvard, Columbia, Princeton, Yale, University of Pennsylvania, and comparable institutions — though exceptional experience and skill always take precedence over pedigree. 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, C/C++, Rust, Go, Java, and JavaScript (including ReactJS) — with particular emphasis on systems-level code, performance-critical applications, and infrastructure. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? • Work on AI model training initiatives by curating code examples, building solutions, and correcting code in Python, C/C++, Rust, Go, Java, and JavaScript (including ReactJS)., • Evaluate and refine AI-generated code with an emphasis on systems-level correctness, performance, and reliability., • Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks., • Build agents that can verify the quality of systems-level and infrastructure 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 (3 years or more), • Strong expertise in systems programming, infrastructure, or backend development using languages like Python, C/C++, Rust, and Go., • Experience building 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, • Type: Contractor (no medical/paid leave), • Duration: 1 month (potential extensions based on performance and fit), • Location: Candidates must be based in the United States Evaluation Process: • The application process takes 15–30 minutes., • Completion of an AI video interview is required. 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.

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. Ideal Background: This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from leading programs such as Harvard, Columbia, Princeton, Yale, University of Pennsylvania, and comparable institutions — though exceptional experience and skill always take precedence over pedigree. 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 across the full stack — in Python for backend and ML workflows, and JavaScript (React, Node.js) for frontend and API layers, alongside C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? • Work on AI model training initiatives by curating code examples, building solutions, and correcting code across both Python and JavaScript (React, Node.js), with additional work in C/C++, Java, Rust, and Go., • Evaluate and refine AI-generated code across backend and frontend contexts 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 across full-stack applications., • 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 (3 years or more), • Strong expertise in building full-stack applications using Python and JavaScript (React, Node.js), with the ability to work across backend and frontend codebases., • Experience 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, • Type: Contractor (no medical/paid leave), • Duration: 1 month (potential extensions based on performance and fit), • Location: Candidates must be based in the United States Evaluation Process: • The application process takes 15–30 minutes., • Completion of an AI video interview is required. 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.

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: • 3+ years of software engineering experience., • 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. Know amazing talent? Refer them at ___, and earn money from your network.

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. Ideal Background: This role is ideal for engineers who have shipped high-impact products at fast-moving companies like Stripe, Airbnb, Cloudflare, Datadog, Coinbase, or similar high-growth engineering environments. We especially welcome graduates from programs with strong CS foundations such as University of Washington, University of Illinois Urbana-Champaign, UT Austin, University of Michigan, Purdue, and comparable institutions — though exceptional experience and skill always take precedence over pedigree. 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 across the full stack — in Python for backend and ML workflows, and JavaScript (React, Node.js) for frontend and API layers, alongside C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? • Work on AI model training initiatives by curating code examples, building solutions, and correcting code across both Python and JavaScript (React, Node.js), with additional work in C/C++, Java, Rust, and Go., • Evaluate and refine AI-generated code across backend and frontend contexts 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 across full-stack applications., • 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 (3 years or more), • Strong expertise in building full-stack applications using Python and JavaScript (React, Node.js), with the ability to work across backend and frontend codebases., • Experience 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, • Type: Contractor (no medical/paid leave), • Duration: 1 month (potential extensions based on performance and fit), • Location: Candidates must be based in the United States Evaluation Process: • The application process takes 15–30 minutes., • Completion of an AI video interview is required. 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.

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. Ideal Background: This role is ideal for engineers who have shipped high-impact products at fast-moving companies like Stripe, Airbnb, Cloudflare, Datadog, Coinbase, or similar high-growth engineering environments. We especially welcome graduates from programs with strong CS foundations such as University of Washington, University of Illinois Urbana-Champaign, UT Austin, University of Michigan, Purdue, and comparable institutions — though exceptional experience and skill always take precedence over pedigree. 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 across the full stack — in Python for backend and ML workflows, and JavaScript (React, Node.js) for frontend and API layers, alongside C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? • Work on AI model training initiatives by curating code examples, building solutions, and correcting code across both Python and JavaScript (React, Node.js), with additional work in C/C++, Java, Rust, and Go., • Evaluate and refine AI-generated code across backend and frontend contexts 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 across full-stack applications., • 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 (3 years or more), • Strong expertise in building full-stack applications using Python and JavaScript (React, Node.js), with the ability to work across backend and frontend codebases., • Experience 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, • Type: Contractor (no medical/paid leave), • Duration: 1 month (potential extensions based on performance and fit), • Location: Candidates must be based in the United States Evaluation Process: • The application process takes 15–30 minutes., • Completion of an AI video interview is required. 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.

Introduction Saab UK is part of Scandinavia's largest defence company, bringing together the best of Swedish and British innovation. Saab offers world-leading solutions and services in defence, aviation, space, and civil security to keep people and society safe. Our UK presence has been growing at pace, meaning we can offer a wide range of opportunities for personal fulfilment and career growth. We currently employ over 600 people across eight sites in the UK, and our specialisations include software engineering, underwater robotics, radars, AI, and armed forces training. The Role: To design and implement software solutions for underwater robotics applications in line with the company's business needs through innovation, creativity and professionalism. Able to demonstrate expertise and experience in software used on industrial/vehicle/vessel systems. Reporting to the Software Manager the Software Lead role involves taking responsibility for the delivery of projects and leading multidisciplinary teams to deliver technically complex software projects for subsea vehicles and associated robotic functions. Typically requiring input from several differing software and engineering disciplines and supporting functions the software lead is able to bind these inputs together to successfully deliver the software content for Saab products. Qualifications and Skills: Required skills: * A minimum of 7 years' experience as a Senior Engineer. * A Degree in a relevant Engineering Discipline. * Broad understanding of software from embedded though to applications * Leading multi-disciplined teams of software engineers * Able to develop a software architecture for complex systems from scratch * Sound understanding of modern software methods and technologies * Able to maintain a system level approach and not get lost in the detail * Able to develop system level requirements and derive lower level requirements to achieve these * Sound understanding of safety concepts and design * Able to interface directly with customers * Able to act as a technical authority * Able to communicate technical concepts to non-technical stakeholders * Able to estimate work content and duration * Able to plan work loading for teams ensuring no team member is overloaded * Able to develop and instigate processes to ensure industry best practice is achieved * Able to ensure appropriate levels of Software Quality are achieved for projects * Able to mentor and develop junior engineers * Ability to delegate tasks * Able to manage resources and budgets * Practical understanding of standards and application of standards * Appreciation of Cyber Security and the impacts on design In addition, you will be Able to demonstrate software skills in some of the following technologies on both Windows and Linux: * C++ * Javascript * Python * XML * JSON * HTML * CSS * Web backend servers (Angular, Django, NodeJS, React, Apache or similar) * Web Sockets * Docker * TCP-IP / UDP * SQL or other databases * Dev tools (Wireshark, system log interrogation etc..) * Databases * Cyber Security Desirable: * Exposure to IP video and video routing * Familiarity in design and testing of control software * Familiarity with Systems serving Real Time Information via Web Sockets * Use of DDS and interfacing with it * Message Queues (Active MQ/Rabbit MQ/ZeroMQ) * GUI Development experience (.Net GUI framework, Qt 6.2 or previous versions) * Developing and debugging software for application software in Visual studio (2013, 2017, 2022) * Customer facing API's using web technologies By submitting an application to Saab UK you consent to undertaking workforce screening activities that may include but are not limited to: Baseline Personnel Security checks, National Security Vetting, reference checks, verification of working rights and in all circumstances preferred candidates will be placed through a security interview.

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: • 3+ years of software engineering experience., • 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. Know amazing talent? Refer them at ___, and earn money from your network.

Job Title: Architectural Technician Ref: BM135 Location: Bury Salary: £35,000 - £40,000 This is a fantastic opportunity to join a dynamic RIBA chartered practice who provide a wide range of expertise to the residential, commercial, healthcare, and industrial sectors. They are on the lookout for a proactive and talented Architectural Technician to join their team in Bury. Benefits for the role of Architectural Technician include: Highly competitive salary Contributory pension scheme Hybrid working Generous holiday allowance Professional development Personal developmentDuties for the role of Architectural Technician include: Manage and deliver various projects from inception through to completion Prepare building regulation packages and submit planning applications Undertake site visits and surveys to ensure technical compliance and high quality Liaise with clients and consultants to ensure successful delivery of projectsSkills and experience for the role of Architectural Technician: Relevant degree within Architecture or Architectural Technology Strong post qualification experience as a Technician within a UK practice Proficiency with AutoCAD and Revit Experience managing projects across various sectors Strong working knowledge of UK building regulations Strong technical and design skills Strong attention to detail Excellent communication and organisational skills Ability to work well independently ...

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