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Senior Python Full Stack Developer : Newcastle Upon Tyne (Hybrid) £42,000 – £62,000 (DOE) You’ll be working with a rapidly scaling engineering technology company developing world leading optimisation tools for advanced engineering environments such as offshore wind and marine operations. These tools transform complex algorithms into intuitive, high performance digital products — they are now seeking a Senior Python Full Stack Developer to help drive the next phase of growth. This role offers genuine technical ownership, exposure to cutting edge engineering R&D, and the chance to build products that directly support the global net zero transition. Why Join? High impact engineering: Your work directly powers optimisation tools used across major engineering sectors. Autonomy & influence: Shape architecture, propose new features, and drive technical direction. Small, high performing team: Work closely with a Lead Developer and engineering specialists. Variety & challenge: Full stack development, cloud architecture, background daemons, mapping tools, and more. Career growth: Opportunities to lead projects, mentor others, and influence product strategy. Innovation culture: Freedom to experiment, explore R&D ideas, and contribute to funded research proposals. Benefits and package details for the role of Senior Python Full Stack Developer : • Salary between £42,000 and £62,000 DOE, • Hybrid working - home / Newcastle office – completely flexible, • Railcard reimbursement, • Contribution to energy bills if you’re on a renewable tariff, • Bonuses based on company performance, • Enhanced sick pay, • Partial Professional membership support The Role : As Senior Python Full Stack Developer, you will: • Build and maintain cloud native web applications using Python, Python Flask, SQLAlchemy, and PostgreSQL., • Develop background daemons and orchestration services for parallel optimisation algorithms., • Good knowledge about Parallel Computing, Virtual Computing, Cloud Computing and Dockerization, • Architect system workflows, database structures, and cloud infrastructure., • Create intuitive, high quality front end interfaces using HTML, CSS, JavaScript, jQuery, and Jinja2., • Work with Docker, AWS (ECS, RDS, EFS, EC2, VPC), and Azure DevOps CI/CD pipelines., • Identify new features, contribute to R&D scoping, and support technical proposals., • Mentor junior developers and support their technical progression., • Represent the company at conferences, webinars, and industry events., • Conducting high quality code reviews About the Team : You’ll join a small, collaborative Full Stack Development team led by an experienced Lead Developer. The environment is: • Supportive: Open communication, shared problem solving, and no egos., • Engineering driven: Clean architecture, thoughtful design, and robust code matter., • Fast moving: Decisions are quick, ideas are welcomed, and your work is visible., • Interdisciplinary: Daily interaction with engineering, optimisation, and domain experts. This is a team where senior engineers thrive because they’re trusted, empowered, and encouraged to innovate. What You Bring to the role of Senior Python Full Stack Developer : • Strong full stack Python development experience., • Experience with cloud computing, Docker, and CI/CD pipelines., • Ability to design and build background services and parallel computing workflows., • Excellent communication skills — able to explain technical concepts clearly., • A collaborative mindset and willingness to mentor others., • Curiosity, creativity, and a passion for building elegant, scalable solutions. Technical Stack Back End: Python, Python Flask, MVT (Model – View – Template) structure, SQLAlchemy, PostgreSQL, multiprocessing/multithreading Front End: HTML, CSS, JavaScript, jQuery, DataTables, AJAX, Jinja2, NPM (Node package manager Cloud & DevOps: Docker + Docker Python API, AWS (ECS, RDS, EFS, Boto3 API, EC2, VPC, Firewall, Boto3), Azure DevOps (Repositories + CI/CD Pipelines) Additional Tools: OpenLayers (web mapping), Git / SourceTree Desirable: Certifications or CPD in AWS, Python, front end development, cyber security, etc. Training or experience in net zero engineering sectors For more information, or to apply for the position of Senior Python Full Stack Developer, please contact Ewen. At MacArthur Recruitment we are committed to maintaining the trust and confidence of our customers. We collect your information for the purposes of providing job-finding services only, and do not sell, rent or trade lists with other companies for marketing purposes. We don’t collect cookies on our website, or use analytical tools to monitor visitor behaviour. We believe that if you want to get in touch with us, you will. Any information you provide to us on your CV or via a job board is kept securely on our database and is shared with any potential employer only after you have given permission for us to do so. To find details on how we use this information, please read our privacy policy which can be found at www macarthurrecruitment co uk, where you can also find details of how to contact our Data Protection Lead, Stephanie Harding, should you wish to exercise your rights to view, amend, or delete the personal information that we hold.

JOB DESCRIPTION You will be a creative FF&E designer with a proven track record. You will have worked from concept to completion in accordance with the client’s brief, and have experience with managing project budgets, timescales, and the FF&E procurement process. KEY RESPONSIBILITIES & DUTIES Working alongside the design team, we are looking for a strong candidate to assist the project lead and director to develop the FF&E direction for the overall project and manage all elements allocated to them, including the designing and sourcing of FF&E from concept through to finished details. Key responsibilities will include: • Having a good understanding of the clients’ objectives and values, • Designing and sourcing FF&E from concept through to finished details including bespoke furniture and upholstery, • Contributing to the concept development, assisting research and supporting with in-design presentations, • Producing floor/furniture plan layouts and elevations & rendering plans/elevations/visuals, • Creating full schedules for all FF&E items, • Liaison with the design and purchasing teams to ensure FF&E is within budget parameters, • Assisting in preparing presentation packages, mood boards and sample boards under senior team instruction, • Attending interior fit outs throughout the UK and assist with the installation of FF&E alongside contractors and management team, • Participating in the establishment and maintenance of BI FF&E drawing standards, • Understanding of BI suppliers - building relationships with existing suppliers and sourcing new suppliers, • Project planning, monitoring, reporting and budgeting FF&E MAIN SKILLS & ABILITIES • The ability to source loose furniture, lamps, tables & consoles with artwork and accessories specific to projects, • Experience of specifying suitable fabrics, including drapery, upholstery, cushions and trims for residential and commercial use, • Experience working in EstiMac would be an advantage, • Proficiency in Microsoft Word, Excel, Outlook, AutoCAD, InDesign, and Photoshop, • Exceptional attention to detail with accuracy in all work produced, • Strong communication, planning and organisational skills including the ability to take minutes and distribute to client teams, • Understand budgets, design process and RIBA stages, • Trouble shooting any problems that may arise to ensure swift and positive resolution LIFE AT BERNARD INTERIORS We are deeply passionate about our people and committed to cultivating a world-class team of interior architects, designers, and procurement specialists. Through continual training, mentoring, and purposeful development, we empower our talent to grow, innovate, and excel, ensuring every client experiences the memorable, meaningful design excellence that defines our studio. Our team is built on our core values with individual skills and expertise layered together to deliver impeccable attention to detail. • Personal – We are a dedicated team of like-minded individuals with a ‘can do’ approach, • Polished – Everything we do is tailored to the vision of our clients with impeccable attention to detail., • Passionate – We are passionate about design and passionate about delivery., • Professional – Building strong relationships with everyone we work with is key to delivering truly exceptional design. Your application will be treated with the strictest confidence – please apply through LinkedIn or send your covering letter, cv and portfolio to

Central Employment are working in partnership with a fast growing Digital Marketing and Creative agency, who are looking to appoint a client facing Mid/Senior Designer (brand/digital). • Newcastle based x 4 days a week, 1 day from home, • Up to £35k DOE & quality of portfolio Mid/Senior Designer (brand/digital) profile: The Mid/Senior Designer is the creative and technical lead for there client portfolio. You are responsible for the entire lifecycle of a project - from shaping brand identities and digital strategies to executing the final front-end build. You’ll focus on creating functional, user-centric experiences that perform reliably and deliver measurable value to there clients’ businesses. You will act as a strategic partner to clients, translating their business goals into high-impact design. As a senior creative member of the team, you will also take an active role in mentoring others and improving internal workflows. Key Responsibilities Include: ● Own the evolution of brand identities for a diverse range of clients, ensuring every design is authentic, consistent, and resonates with the target audience. ● Lead the development of visual communication strategies. You’ll conduct market research and competitor audits to find opportunities for innovation that set our clients apart. ● Oversee project budgets and timelines, ensuring we deliver high-quality, impactful visual and technical output efficiently. ● Brand Guardianship: Set the standard for brand guidelines, ensuring all work - whether created by you or the wider team - maintains total brand integrity. ● Conceptualise and build high-quality assets across all channels. This includes everything from brand systems and marketing materials to responsive, front-end web development. ● Design and build intuitive UX/UI experiences. You’ll be responsible for the technical implementation of these designs, ensuring they are pixel-perfect and functional. ● Use data and performance metrics (like engagement and conversion rates) to identify what’s working and what isn't. You will proactively optimise designs to improve ROI for your clients. ● Clearly present design performance and technical results to clients, demonstrating the direct value our creative work brings to their business. ● Strategic Partnership: Serve as the lead creative contact for your client portfolio, building trust through expert advice and a deep understanding of their business goals. ● Confidently present complex design concepts and technical builds to stakeholders, ensuring they understand the "why" behind the work. ● Manage the revision process professionally, balancing client feedback with creative best practices to reach the best possible outcome. ● Guide and mentor junior designers and developers. You’ll foster a culture of learning by sharing best practices, conducting design reviews, and helping the team level up their skills. ● Work closely with copywriters, marketers, and developers to ensure projects are cohesive and meet all strategic objectives. ● Identify ways to improve how we work, from better design-to-dev handoffs to adopting new tools that make the team more efficient. ● Stay at the forefront of design trends, front-end technologies, and software (Figma, Adobe Creative Suite). ● Maintain a deep understanding of our clients' industries to ensure our work remains relevant and competitive. Essential Experience & Skills: ● A strong portfolio that demonstrates expertise in brand strategy, digital design (UX/UI), and front-end execution. ● Proficiency in Adobe Creative Suite and Figma is essential. Experience with motion graphics, video editing, or modern front-end frameworks is a significant plus. ● 3+ years of experience in a similar role with a solid understanding of brand positioning and digital marketing principles. ● Experience guiding projects from concept to completion and a natural ability to mentor others.

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 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 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 Quantiphi Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI driving measurable outcomes at the very core of their operations. Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value, not just technology for technology’s sake. Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact. We’ve been recognized with • 17x Google Cloud Partner of the Year awards in the last 8 years., • 3x AWS AI/ML award wins., • 3x NVIDIA Partner of the Year titles., • 2x Snowflake Partner of the Year awards., • We have also garnered top analyst recognitions from Gartner, ISG, and Everest Group., • We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators., • We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023. Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! For more details, visit:______ or___. Role: Cloud Data Architect Experience Level: 8-10+ years Work Location: United Kingdom (Remote) Job Overview: We are seeking a highly skilled AWS Data Migration & Data Engineering Consultant to lead end-to-end data migration initiatives across on-prem, cloud, and multi-cloud environments into AWS. This role focuses on defining and executing data migration strategies, including assessment, wave planning, migration execution, and post-migration stabilization, while ensuring data integrity, minimal downtime, and alignment with business SLAs. The ideal candidate brings strong experience in cross-platform database migrations (Oracle, SQL Server, MySQL, or cloud-native systems) combined with deep expertise in AWS data engineering services and modern data pipeline development. Key Responsibilities: • Lead end to end database migrations to AWS from diverse sources, including on-premises systems (e.g., Oracle, SQL Server, MySQL) and other cloud platforms (e.g., GCP, Azure)., • Lead end-to-end data migration strategy and execution, including assessment, dependency mapping, and wave planning, • Design and implement migration frameworks using AWS DMS, SCT, Glue, and Redshift, • Define and execute data validation, reconciliation, and cutover strategies ensuring zero/low data loss, • Enable CDC-based replication and minimal downtime migrations across heterogeneous systems, • Design and optimize ETL/data pipelines using AWS Glue, PySpark, or EMR, • Architect and implement scalable, secure, and highly available data platforms on AWS, • Drive schema conversion and modernization strategies (heterogeneous migrations where applicable), • Optimize performance of source and target systems pre- and post-migration, • Manage and govern S3-based data lakes and metadata using Glue Data Catalog, • Collaborate with application, infrastructure, and analytics teams for seamless migration and stabilization, • Implement monitoring, rollback, and failure recovery mechanisms, • Ensure adherence to security, governance, and compliance standards Required Skills: • 8+ years of experience in database migration and data engineering, • Proven experience in cross-platform data migrations (on-prem to cloud or cloud to cloud), • Strong hands-on expertise with: AWS DMS (Database Migration Service), AWS SCT (Schema Conversion Tool), AWS Glue (ETL & data integration), Amazon Redshift (data warehousing), • Experience designing and implementing data validation and reconciliation frameworks, • Strong experience in ETL/data pipeline development (Glue, PySpark, EMR, or equivalent), • Deep proficiency in SQL and data modeling concepts, • Experience working with S3-based data lakes and Glue Data Catalog, • Strong understanding of CDC, transaction consistency, and migration cutover strategies, • Hands-on experience with performance tuning, schema design, and query optimization, • Proficiency in Python/PySpark and scripting (Shell/Python), • Experience with Oracle, SQL Server, MySQL, PostgreSQL, or cloud-native databases Nice to Have: • Exposure to real-time replication tools (e.g., GoldenGate or equivalent), • Database Administration (DBA) expertise, including backup & recovery strategies, HA/DR design, database patching and upgrades, lifecycle management, capacity planning, performance monitoring, and security hardening., • Experience with Lake Formation and data governance frameworks, • Familiarity with Data Mesh and cross-account data sharing architectures, • Experience with CI/CD for data pipelines (CodePipeline, Jenkins, etc.), • Knowledge of Infrastructure as Code (Terraform / CloudFormation), • AWS Certifications (Solutions Architect / Data Engineer), • Experience in mentoring teams and leading large-scale migration programs. What’s in it for YOU at Quantiphi: • Make an impact at one of the world’s fastest-growing AI-first digital engineering companies., • Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues., • Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines., • Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.

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.

⚡ Senior Rust Engineer – High-Frequency Trading 🌍 UK Time Zone (Remote-friendly) 💲 £150,000 - £175,000 base + Benefits The Company Storm2's client is a London-based research and trading firm building a tier-one HFT platform. Small team, high bar, and serious about what they're building. You'd be their fifth Rust hire. The Role Most Rust roles aren't really Rust roles. This one is. You'll be building the systems that power live trading operations: data ingestion, order management, execution, and risk, in an environment where microseconds matter and the margin for error is essentially zero. There's also real scope to ideate and build logic for new instruments and markets, so this isn't purely optimisation work on existing systems. The expectation is that you drive the design of those systems yourself, not wait to be pointed at a problem. The team is lean, highly technical, and academically rigorous. They're not hiring someone to execute a spec. They want someone who grabs initiative, shapes the architecture, and takes genuine ownership of what they build. If you've founded something, led a platform from scratch, or consistently been the person in previous roles who defined how things were built rather than just building them, that matters a lot here. On the technical side, they want to see: • Real HFT or market making experience in Rust, or a background in ultra-high-performance, large-scale throughput systems where the engineering demands are genuinely comparable., • Years of experience matters less than the depth and context you've built: someone five years into the right career is more interesting to this team than someone ten years into the wrong one., • Trading background or exposure to market microstructure is a genuine differentiator and will make you significantly more valuable in this seat from day one. If you want to work on something technically uncompromising alongside people who will push you, it's worth a conversation. 📧 Click 'Easy Apply' or email ⚡ Storm2 is a specialist FinTech recruitment firm with clients across Europe, APAC, and North America. Visit storm2.com or follow us on LinkedIn for the latest roles and intel.

Software Developer - SC cleared\nPermanent | Hybrid (willing to travel to Newcastle) | Python | AI | BPSS\nWe are looking for Software Developers with strong Python and AI experience to work at an early stage alongside enterprise architects and senior engineers. You will help research, design and prototype the foundations of a new service, with particular emphasis on automation, integration and intelligent workflows.\nYou will join Peregrine who are supporting a large public sector organisation, starting an ambitious transformation programme focused on modernising how financial support services are delivered. The aim is to explore whether multiple existing approaches can be consolidated into a single, streamlined service.\nThis work is at Alpha stage, with a strong focus on research, prototyping and proving technical and architectural options.\nThis is a hands-on role suited to engineers who enjoy shaping solutions from first principles and working in exploratory delivery phases. The role is primarily remote, however travel to Newcastle may be required for sprint ceremonies and key workshops.\nResponsibilities:\nEngineers will contribute to research and development across:\n * Workflow orchestration and process design\n * Web portal options and user interaction patterns\n * Data models and schema design\n * Automation and AI, including AI assisted software development approaches\nSkills & Experience:\n * Strong experience with Python\n * Experience applying AI or machine learning in practical solutions\n * Focus on automation and system integration\n * Comfortable working in early stage, fast evolving environments (Alpha project experience)\n * AWS Services\n * Active BPSS, SC clearance or eligible for clearance\n * Desirable skills:\n * Experience supporting AI or data driven platforms\n * Knowledge of cyber security or fraud prevention domains\n * Experience working within government or critical national infrastructure environments\nAbout Peregrine\nWe build workforces that deliver tech and change programmes at leading UK organisations. By combining data science from Peregrine Intelligence, our industry-accredited Peregrine Academy, and market-leading attraction and diversity initiatives, we bridge capability gaps at all levels in public and private sector organisations. We work closely with our clients to understand their challenges and deliver flexible, long-term solutions that make a real difference. When you join Peregrine, you become part of a team that’s focused on growth, both yours, our clients’, and the sectors we support. You’ll also get access to a full range of benefits alongside your salary.\nHow Specialist Talent Works\nAs a permanent employee at Peregrine, you’ll be part of our Specialist Talent team. That means you’ll work on-site or remotely with our clients, supporting them on complex, high-impact projects in Data, Digital and Business Transformation. You’ll get the variety and challenge of consultancy work, with the stability and support of a permanent role. You’re not a contractor - you’re a valued member of our team, with access to all the same benefits, learning opportunities, and community.\nFind out more: peregrine.global or check out our LinkedIn page: peregrine-resourcing

Software Developer \n\nPermanent | Hybrid (willing to travel to Newcastle) | Python | Apache | Data | SC cleared \n\nHybrid work arrangement. Office attendance is up to 60%. Location is flexible: London, Leeds, Newcastle, Sheffield, Blackpool, Manchester and Birmingham. You must be willing to travel to Newcastle when required. \n\nThe Role:\n\nWe are looking for Software Developers with strong Python and data processing with Apache Spark responsible to lead the design, development, and operation of data‑driven applications and pipelines in a collaborative Dev and DevOps environment. \n\nThe role focuses on writing and improving application code while working closely with DevOps engineers to support automated deployments, infrastructure management, system monitoring, reliability, and scaling. The post holder collaborates with Product Owners, Business Analysts, and users to translate business needs into robust technical solutions, operates and improves production services, analyses data and system issues to identify root causes, and champions engineering best practices. They also provide technical leadership through coaching and mentoring junior colleagues and contributing to continuous improvement across development, delivery, and operational processes.\n\nResponsibilities:\n\nEngineers will contribute to research, development and delivery across:\n\næ Design, build, and operation of data ingest and publishing pipelines\n\næ Workflow orchestration and task scheduling using managed services\n\næ Collaboration with Product Owners, Business Analysts, and users to shape technical solutions\n\næ Production support, monitoring, and continuous improvement of system resilience, stability, and performance\n\næ Data analysis and investigation to identify root causes of defects and operational issues\n\næ DevOps collaboration, including supporting automated deployments, infrastructure management, monitoring, and scaling\n\næ Coaching and mentoring junior engineers and promoting engineering best practices\n\nSkills & Experience:\n\næ Understanding of data processing using Apache Spark \n\næ Use of Python, SQL, and familiarity with PySpark \n\næ Experience using Apache Airflow for task orchestration \n\næ Understanding of EMR and reviewing output logs \n\næ Use of Jupyter notebooks and/or Amazon Athena to query and validate data \n\næ Data analysis to identify root cause of issues \n\næ Understanding of dimensional data models and slowly changing dimensions/historic data capture \n\næ Use of AWS console and services such as, but not limited to; CloudWatch, IAM, S3, Glue, ECR, EC2, EMR, Dynamo DB, LakeFormation \n\næ Familiarity with Amazon Textract and Comprehend\n\næ Understanding of both server-side and client-side encryption \n\næ Use of GitLab for source code management pipelines for CI/CD \n\næ Use of GitLab Tags for component versioning in shared repositories\n\næ Understanding of Docker and containerization of solutions \n\næ IaC using Terraform \n\næ Experience of understanding how customer expectations transition to applied functionality \n\næ Familiarity with, and implementation of Engineering best practices\n\næ Use of gitlab for release tagging and deployments\n\næ Familiarity with basic data structures for constructing a solution\n\næ Active BPSS, SC clearance or eligible for clearance \n\nDesirable skills:\n\næ Experience supporting AI or data driven platforms \n\næ Knowledge of cyber security or fraud prevention domains \n\næ Experience working within government or critical national infrastructure environments\n\nFind out more: or check out our LinkedIn page

Metric has partnered with a leading quantum technology company developing next-generation quantum computing systems to hire a Quantum Software Engineer specialising in Quantum Error Correction (QEC)... hiring at the Senior level to! This role focuses on building the foundations of fault-tolerant quantum computation, designing and implementing error-correcting codes, decoding algorithms, and noise-resilient quantum protocols that translate theoretical QEC frameworks into practical, hardware-ready software. You will work at the intersection of quantum information theory, scientific computing, and experimental quantum hardware. You will collaborate closely with hardware, control, and research teams to model device noise, optimise syndrome extraction and decoding performance, and define logical performance metrics that guide system design. The work is highly cross-disciplinary, bridging theory, simulation, and real quantum hardware implementation. We are looking for candidates with: • Strong background in quantum information science, • Fault-tolerant quantum computing, • Scientific programming, • PhD (theoretical physics, mathematics, computer science, or another field closely related to quantum information science), • Strong publication record in QEC or related fields, • Experience with decoder design, quantum simulation frameworks, and hardware-aware algorithm development is highly desirable. This is an opportunity to contribute directly to the development of scalable quantum systems and help shape the future of reliable, fault-tolerant quantum computing. If this sounds like you... apply today!

AI Engineer / Workflow Automation Specialist Salary Up to £55,000-£60,000 DOE Location Fully Remote (UK-based) Type Full-time, Permanent About TRAKD TRAKD has partnered with a forward-thinking performance marketing agency pushing the boundaries of what's possible in the AI space. We've built out our own internal 'agency brain,' a self-hosted AI system running on Mac Minis via OpenClaw, pulling together data from across the entire business: Notion playbooks, Xero invoicing, Fireflies call recordings, Slack communications, and more. They're not just an agency that talks about AI; we're actively building the infrastructure to make every team member smarter, faster, and more effective. This hire is central to that mission. The Role We're looking for an AI Engineer to own, maintain, and expand our agency brain. This is a rare opportunity to work directly with our founder on genuinely cutting-edge internal tooling that most agencies haven't even started thinking about, especially in the UK. You'll be responsible for keeping existing AI workflows running reliably, building new agents and automations as ideas emerge from the team, and proactively bringing forward ideas that improve how we operate. Key Responsibilities Agency Brain Development & Maintenance • Own the upkeep and reliability of our OpenClaw-based agency brain, • Ensure integrations with Notion, Xero, Fireflies, Slack, and other platforms remain stable, • Diagnose and fix workflow breakages before they impact the team, • Continuously improve data ingestion, retrieval, and output quality AI Workflow & Agent Building • Design and build new AI-driven workflows based on internal briefs from leadership and ops, • Build agents for use cases such as: client sentiment analysis, churn detection, revenue opportunity spotting, and creative strategy generation, • Develop automated research-to-output pipelines — e.g. pulling TikTok/Instagram creative data and generating full brand strategy documents for strategists, • Explore and implement end-to-end creative workflows (e.g. pulling performance data → analysing → generating ad variations via AI video tools) LLM & Tooling Expertise • Stay at the forefront of developments across LLMs (Claude, OpenAI, Gemini, etc.) and agentic frameworks, • Identify cost-efficient ways to run workflows without burning unnecessary tokens or credits, • Evaluate and integrate new tools and MCP-connected services as they emerge About You Must-Haves • Hands-on experience building AI workflows and automations (n8n, Make, LangChain, or similar), • Deep familiarity with LLM APIs and prompt engineering, • Understanding of agentic AI systems, RAG pipelines, and vector databases, • Experience integrating third-party APIs (Slack, Notion, Xero, or similar), • Proactive, self-starting attitude you bring ideas, not just completed tickets Nice to Haves • Experience with OpenClaw or similar self-hosted agent runtimes, • Familiarity with sentiment analysis and NLP-based workflows, • Background in or exposure to performance marketing or creative agencies, • Experience with web scraping and social media data pipelines, • Knowledge of cost optimisation strategies for LLM usage at scale The Person Years of experience matter less than mindset. We're a team that subscribes to a 1% better every day philosophy; they want someone who shares it. You'll thrive here if you: • Keep your finger on the pulse of the AI world and get genuinely excited by new developments, • Spot opportunities to automate or improve things without being asked, • Communicate clearly and want to be part of a team, not just a coder in the corner, • Are comfortable working remotely but want to show up for team socials and culture What's On Offer • Salary up to £55,000-£60,000 depending on experience, • Fully remote working with flexibility, • Direct access to and collaboration with the founder, • The chance to build genuinely novel AI infrastructure this is not a maintenance role, it's a build role, • A fast-moving, ambitious team culture with regular socials, • Real scope for growth as the AI function expands

About Quantiphi: • Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI—driving measurable outcomes at the very core of their operations., • Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value—not just technology for technology’s sake., • Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact. We have been recognized with: • 3x AWS AI/ML award wins., • 3x NVIDIA Partner of the Year titles., • Recognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firms., • We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators., • We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023. Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! For more details, visit: ___ or ___. Role: MLOps Architect - AWS Experience Level: 8+ years Employment type: Full Time Location: Remote (UK) Description: • We are seeking an experienced MLOps/AIOps Architect who can drive end-to-end implementation of MLOps strategy and also contribute broadly across other enterprise AI/ML programs. This role demands a strong architectural mindset, hands-on technical depth, and the ability to design scalable, cloud-native machine learning operations across traditional ML and modern LLM workflows., • The ideal candidate will bring experience with SageMaker-based MLOps pipelines, evaluation of equivalent tooling stacks, hybrid MLOps/LLMOps automation, CI/CD orchestration, governance, monitoring, automation and production-grade scalability patterns. Key Responsibilities: • Architect and implement the MLOps strategy for the programme, ensuring alignment with the project proposal and delivery roadmap., • Design and own enterprise-grade ML/LLM pipelines covering model training, validation, deployment, versioning, monitoring, and CI/CD automation., • Build container-oriented ML platforms (EKS-first) while evaluating alternative orchestration tools with similar capabilities (Kubeflow, SageMaker, MLflow, Airflow, etc.)., • Implement hybrid MLOps + LLMOps workflows, including prompt/version governance, evaluation frameworks, and monitoring for LLM-based systems., • Serve as a technical authority across multiple internal and customer projects, contributing architectural patterns, best practices, and reusable frameworks., • Enable observability, monitoring, drift detection, lineage tracking, and auditability across ML/LLM systems., • Define and implement standards for model deployment, monitoring, governance, and automation to ensure production-grade reliability and scalability., • Collaborate with cross-functional teams — data engineering, platform, DevOps, and client stakeholders — to deliver production-ready ML solutions., • Ensure all solutions adhere to security, governance, and compliance expectations, particularly around handling cloud services, Kubernetes workloads, and MLOps tools., • Conduct architecture reviews, troubleshoot complex ML system issues, and guide teams through implementation across cloud-native ML platforms., • Mentor engineers and provide guidance on modern MLOps tools, platform capabilities, and best practices. Skills: • Expierence working in ML/AI engineering or MLOps roles with strong architecture exposure., • Strong experience in leading enterprise grade MLOps strategy and its execution., • Proven experience in implementing the adoption of enterprise-grade MLOps platforms with client data science teams., • Proven leadership in defining and executing enterprise MLOps strategy., • Demonstrated success in driving the adoption of enterprise-grade MLOps platforms with client data science teams., • Strong expertise in AWS cloud-native ML stack, including: SageMaker(primary), EKS, Lambda, API Gateway, CI/CD (CodeBuild/CodePipeline or equivalent)., • Hands-on experience with at least one major MLOps toolset and awareness of alternatives: MLflow, Kubeflow, SageMaker Pipelines, Airflow, BentoML, KServe, Seldon., • Deep understanding of model lifecycle management (feature engineering->training → registry → deployment → monitoring)., • Experience implementing or supporting LLMOps pipelines, including: prompt versioning, evaluation metrics, automation frameworks., • Deep understanding of ML lifecycle: data ingestion, feature engineering, training, evaluation, model packaging, CI/CD, drift detection, monitoring, and governance., • Strong experience with AWS SageMaker (Pipelines, Feature Store, Model Registry, Model Monitor)., • Experience implementing ML CI/CD pipelines including automated training, testing, validation, model promotion, and endpoint deployment., • Experience working on Infrastructure as Code (IaC) tools and CI/CD pipelines., • Experience with Kubernetes based development., • Experience with feature engineering pipelines and Feature Store management., • Understanding of lineage tracking: training data snapshot, feature versions, code versioning, metadata tracking, reproducibility., • Hands-on experience with AWS Bedrock and Agentcore service., • Experience with CloudWatch, SageMaker Model Monitor, Prometheus/Grafana., • Strong foundation in Python and cloud-native development patterns., • Solid understanding of security best practices, IAM, secrets management, and artifact governance. Nice to have: • Experience with vector databases, RAG pipelines, or multi-agent AI systems., • Exposure to DevOps and infrastructure-as-code (Terraform, Helm, CDK)., • Hands-on understanding of model drift detection, A/B testing, canary rollouts, and blue-green deployments., • Familiarity with Observability stacks (Prometheus, Grafana, CloudWatch, OpenTelemetry)., • SQL and data transformation experience using Snowflake, Databricks, Spark., • Ability to translate business goals into scalable AI/ML platform designs., • Strong communication and cross-team collaboration skills., • Ability to guide engineering teams through technical uncertainty and design choices. What is in it for you: • Make an impact at one of the world’s fastest-growing AI-first digital engineering companies., • Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues., • Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines., • Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.

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.

Haut.AI is a pioneering BeautyTech startup at the forefront of personalized skincare solutions. We combine scientific research with artificial intelligence to deliver innovative solutions that actually work. Backed by leading European VCs and founded by AI scientists, we are positioned at the intersection of two explosive growth markets: AI and beauty tech. We are looking for a Mid-Level Computer Vision/Deep Learning Engineer to join our team. In this role, you won't just be researching models in a vacuum, but own the end-to-end ML lifecycle from prototyping computer vision algorithms to pushing production-ready deep learning models that directly impact our clients and their customers. What You’ll Do: • Build & Innovate: Design, train, and deploy advanced CV/DL models for skin image analysis, tackling challenges in image classification, segmentation, regression, and generation., • Own the Pipeline: Architect and maintain robust, comprehensive training pipelines covering data preprocessing, augmentation, training loops, and validation., • Ship to Production: Optimize and format ML models (using ONNX/TF-lite) for smooth, scalable deployment., • Monitor & Iterate: Track the performance of deployed models in the wild, ensuring high reliability and addressing data drift., • Collaborate & Prototype: Build Proofs-of-Concept (PoCs) and demo applications to translate research into tangible business value, while communicating technical insights to the broader team. What You Bring: • Experience: 3+ years of industry experience shipping ML/DL models to production, with a Bachelor’s degree in Computer Science, Math, Physics, or equivalent background., • Software Engineering: Strong proficiency in Python, enabling you to write clean, production-ready code. You are comfortable with OOP, Git workflows, and containerization using Docker., • ML & Deep Learning: expertise with deep learning frameworks (PyTorch, TensorFlow) and a solid grasp of CNN, transformer and hybrid architectures., • Computer Vision Foundations: Strong working knowledge of standard CV libraries (OpenCV, scikit-image, PIL) and classical CV algorithms (edge detection, thresholding, color spaces)., • Data Analytics Fluency: Experience working with standard data manipulation libraries (NumPy, pandas, scikit-learn, SciPy)., • Communication: Advanced English proficiency to collaborate effectively in a global environment. Bonus Points (Nice to Have) • Hands-on experience with Vision Transformers (ViTs)., • Familiarity with deploying and scaling models on cloud infrastructure (Azure, AWS, or GCP)., • Data visualization skills using tools like Plotly or Gradio. Your Tech Stack: Python, PyTorch, ONNX, OpenCV, Microsoft AzureML, GCP Vertex AI and PostgreSQL. We also heavily utilize modern workflow and productivity tools including Jira, Notion, Slack, GitHub, GitHub Copilot, Codex, Gemini, and OpenAI. Why Haut.AI? • Competitive compensation based on experience and skills., • Fully remote position with flexibility across UK and EU time zones., • Paid PTO., • Be part of a pioneering company revolutionizing the BeautyTech space., • Opportunity to collaborate with a talented, forward-thinking team while making a real difference in the industry., • Make a tangible impact on product development and company growth., • Opportunity to grow your skills and expertise at the intersection of science and beauty. To Apply: Please submit your CV in English for applying. We look forward to hearing from you!

If you are a Consultant Endocrinologist looking to introduce greater variety and flexibility into your working week — within a structure that can complement your existing professional commitments — this opportunity offers a high-impact way to apply your expertise within an innovative digital care model. Zest Scientific is partnering with a rapidly expanding, award-winning digital healthcare provider delivering specialist weight management services across the UK and Europe. This organisation is redesigning treatment pathways for obesity and metabolic disease within established healthcare systems — improving access, outcomes and long-term patient engagement. Why This Consultant Endocrinologist Role Is Different This is a senior Consultant Endocrinologist position within an established, multidisciplinary digital service — not a high-volume telemedicine post. As a Consultant Endocrinologist, you will: • Provide specialist consultant oversight within structured weight management programmes, • Lead on complex case review, diagnosis and optimisation of treatment plans, • Maintain clinical governance and high standards across GLP-1 pharmacotherapy pathways, • Contribute to service development and pathway refinement, • Collaborate closely with Dietitians, Psychologists, Obesity Nurse Specialists and Medical Leads, • Support quality improvement, education and potential research initiatives The service has supported close to one million patients across multiple European markets and continues to scale rapidly within the UK. Flexible by Design for a Consultant Endocrinologist • Permanent Consultant Endocrinologist position (part-time or full-time), • Fully remote working from anywhere in the UK, or optional hybrid model (London), • Flexible scheduling to align with existing clinical or portfolio responsibilities, • Home working allowance to create your ideal workspace Competitive Salary & Benefits • Highly competitive Consultant Endocrinologist salary, • Company pension scheme, • Enhanced parental leave, • Training and development allowance to support ongoing professional growth, • Opportunity to work within a high-growth, award-winning digital health service What We’re Looking For in a Consultant Endocrinologist • GMC registered Consultant Endocrinologist with inclusion on the Specialist Register, • Substantial experience in diabetes, obesity and metabolic medicine, • Consultant-level experience, ideally within weight management services, • Confidence working autonomously within a digital care model, • A collaborative, systems-thinking mindset The Opportunity for a Consultant Endocrinologist • Introduce meaningful variety into your professional portfolio, • Influence specialist pathways at scale, • Combine endocrinology expertise with digital innovation, • Deliver measurable, long-term patient impact, • Work within a clinician-led, outcome-focused environment This is a time-sensitive opportunity. If you are a Consultant Endocrinologist motivated by system-level change, professional autonomy, and delivering high-quality endocrine care in a modern, scalable model, apply now. We will schedule an exploratory call to discuss the role and your suitability for this exciting position.

About Plessey We’re building the hardware foundation for next-era computing. Plessey is a world-leading technology company driving the next generation of photonic devices and systems. With over 70 years of innovation, we combine research, materials science, process engineering, and manufacturing under one roof. We’re recognised as a global authority in microLED displays, optical computing, and optical interconnects. Join us to work on breakthrough technologies shaping the future of light-based technology and computing. Lead We don’t follow industry trends; we create them, pushing boundaries and setting standards others aspire to. Every team member has the power to make decisions, drive change, and deliver excellence. We support each other, challenge one another for the best solutions, and lead by example. Together, we build industries and technologies that shape the future and scale toward our vision of the next era of computing. Grow We expand our capabilities every day — deepening our expertise, improving how we work, and pushing the boundaries of what’s possible. Curiosity fuels us: we question assumptions, explore new ideas, and innovate with light-based technologies. By investing in and empowering our people, we strengthen Plessey’s impact and help shape the future of optical technology. Trust We operate like a family—honest, reliable, and supportive. We have each other’s backs, own our actions, and uphold the highest standards of integrity and safety. We trust each other to deliver, our customers to challenge us, and our expertise to guide the way. Together, trust enables the collaboration essential for breakthrough innovation and lasting impact. Location Located at our head office and state-of-the-art fabrication facility in Plymouth. About the Role We are seeking a senior Embedded Software Engineer to join the Product Development team and contribute to embedded firmware development and hardware–software integration. This is a hands-on role, working closely with the Principal Engineer and Senior Hardware Engineer to translate system architecture into reliable embedded implementations across prototypes, demos, and product platforms. Key Responsibilities • Design, implement, and maintain embedded firmware in C/C++., • Develop and maintain low-level drivers and application firmware., • Support bootloader development and firmware update functionality., • Implement firmware robustness, error handling, and recovery paths., • Support firmware bring-up on new hardware., • Debug hardware/firmware issues involving power, clocks, interfaces, and timing., • Work with schematics, PCBs, and lab equipment during development and debugging., • Support validation and test readiness of embedded systems., • Translate architectural intent into working embedded implementations., • Take ownership of defined subsystems with appropriate guidance., • Contribute to technical documentation and knowledge transfer., • Support integration with test environments and higher-level software systems. Skills, Knowledge and Expertise • Background in Electronic Engineering or similar discipline., • Experience in embedded software development (C/C++)., • Experience with microcontrollers (e.g. STM32 or similar)., • Experience with bare-metal and/or RTOS-based systems., • Comfortable reading schematics and understanding hardware design., • Experience with board bring-up and low-level debugging., • Experience using SWD/JTAG, logic analysers, and oscilloscopes., • Understanding of common interfaces (USB, SPI, I²C/I3C, UART). Advantage • USB device development experience., • Familiarity with embedded Linux or Zephyr., • Experience supporting prototype, demo, or pre-production systems.

Location: London (hybrid) Level: Director Reporting to: VP of Engineering The company This is a well-funded, fast-growing B2B SaaS company that's become one of the most talked-about in its space. They've hit unicorn status and are now in the middle of a significant scaling phase — the engineering org is ~50 people today and is expected to grow to 150+ over the next 12 months. The product is used by some of the world's fastest-growing companies. The team is distributed across the UK and Europe, with a strong technical bar and a no-nonsense engineering culture. People here came from Google, Meta, Vercel, and high-growth scaleups. The VP of Engineering spent 9+ years at Google managing infrastructure teams at significant scale before joining at an early stage. This is not a corporate environment. Founders are hands-on, technical, and have high standards. The people who thrive here have opinions, make decisions, and lead from the front. The role You'll be joining as one of two Engineering Directors, sitting between the VP of Engineering and a layer of engineering managers who each lead autonomous product squads. You'll own a significant portion of the engineering organisation and be accountable for how it performs, scales, and grows. This is a player-coach role in the truest sense of leadership — not hands-on coding, but close enough to the technical work that you can hold your own in a systems design conversation, challenge architectural decisions, and earn the respect of strong engineers. What you'll be doing: • Managing a set of engineering managers and senior ICs, acting as their line manager, coach, and technical sounding board, • Owning the health and output of multiple product squads — delivery, quality, morale, and hiring, • Partnering with the VP of Engineering on org design, technical strategy, and how engineering scales from here, • Driving hiring across your org — you'll be building something meaningful over the next 12 months, • Feeding into cross-functional decisions alongside product, design, and go-to-market leadership, • Being the person who makes the call when things are ambiguous, moves fast when speed matters, and is comfortable having hard conversations What we're looking for Must-haves: • Experience managing engineering managers (not just individual contributors) — you've operated a layer of abstraction above the squads, • A background that combines time at a well-engineered large company and time at a high-growth B2B SaaS scaleup — you understand both how great engineering is built and what it takes to ship fast with limited resources, • The technical depth to do a credible systems design conversation — you don't need to write production code but you need to understand the tradeoffs engineers are making, • Experience in the 50–200 engineer range — you've either been through a scaling journey like this or are close enough to it that you understand what breaks and why, • Comfortable with ambiguity, fast-changing priorities, and a culture where the people above you are also deeply capable Strong signals: • B2B SaaS domain experience — RevOps, developer tooling, or anything close to the product surface, • You've hired well at pace — you know what great looks like and you can move quickly to close, • You've let people go when it was the right thing to do, • You've worked in a distributed team and made it work, • You're the kind of person who's done their research before walking into a room Not a fit if: • You're looking for a quiet, process-heavy environment, • Your default mode is "let me set up a committee", • You describe your leadership style primarily as "servant leader" and leave it there, • You haven't been close to the technical work in several years The interview process • Track record conversation (45 min, remote), • Incident response / technical leadership (45 min, remote) Compensation Competitive base salary, meaningful equity, and benefits. Range discussed on first conversation.

Location: Remote (UK or Greece) Salary: Competitive, based on experience Job Type: Full-Time Working for Krotos We revolutionize sound creation by making Hollywood-quality sound accessible to everyone. Our groundbreaking software, featured in blockbuster productions like Avengers and Game of Thrones, empowers creators to design high-quality sound faster and more intuitively. Our mission is to change the way people design and perform sound. As a fast-growing, remote-first company, we are pushing the boundaries of creativity and innovation in content creation. The role Join our R&D team as an ML specialist to research, develop and ship technologies that change how people create sound. We're building systems that understand, manipulate and generate audio in ways that feel genuinely intuitive to professionals and we're nowhere near done. You'll own problems end-to-end, from identifying the right approach to getting it in front of customers, working closely with product to make sure what we build actually matters. Key objectives • Research and develop multimodal AI technologies that improve the way people work with sound, • Build and optimise LLM-powered audio pipelines and extend our Qwen-based vision model for audio production use cases, • Identify opportunities to apply the latest advances in generative AI and multimodal research to the professional audio field Responsibilities • Work within the team and research engineers to solve problems for film makers & sound designers, • Design and maintain backend inference systems that meet the latency and quality demands of professional audio workflows, • Collaborate with product and engineering teams to implement ML research in commercial products, • Work with the product owner to identify where ML creates the most value for customers, • Clearly and effectively communicate ML concepts, model behaviour and tradeoffs to the wider business, • Provide technical guidance on model architecture, fine-tuning strategy and deployment decisions Skills and experience Essential: • A degree in a relevant field or extensive professional experience, • Experience in commercial machine learning research and development, • Strong hands-on experience fine-tuning and adapting large language models (LoRA, QLoRA, PEFT, DPO/RLHF), • Experience working with data, training and evaluating machine learning models, • Experience with multimodal architectures — audio-language, vision-language, or both, • Extensive audio and signal processing knowledge — spectral features, neural codecs, generative audio models, • Experience deploying models to cloud inference (AWS or GCP) with awareness of latency and cost tradeoffs, • MLOps competency — experiment tracking, model versioning, evaluation pipelines, ML CI, • Experience with Python and modern ML frameworks (PyTorch, JAX), • Excellent verbal and written English communication skills, • Excellent analytical and problem-solving skills, • A desire to innovate and push current practice Desirable: • Experience with vision-language models, particularly Qwen-VL or similar, • Experience with Agile software development practices, • Familiarity with VST/AU plugin architectures and real-time audio constraints, • Experience delivering ML technologies shipped in commercial audio software, • Knowledge of sound design and audio post-production workflows, • C++ reading ability, • Previously registered audio machine learning patents Team Core Values Inventive. Driven. Transparent. Our values define who we are and how we work: • Honesty & Transparency: We communicate openly, share the truth even when it’s difficult, and build trust through clarity, • Team Player: We collaborate, support each other, and put collective success above ego, • Problem Solver: We face challenges head-on and find creative, practical solutions., • Open-Minded: We listen to others, consider different perspectives, and recognise the complexity of good decisions, • Politeness & Respect: We treat colleagues and customers with courtesy and professionalism, • Curiosity & Growth: We love learning, experimenting, and continuously improving, • Data-Driven: We let insights and evidence guide our decisions, not guesswork, • High Standards: We take pride in excellence and pay attention to the details that matter, • Strong Work Ethic: We commit, follow through, and work hard to achieve ambitious goals Benefits • Competitive salary and benefits package, • Private health insurance, • Opportunities for professional growth and development, • Flexible, remote working environment, • Access to cutting-edge technology and tools, • Exciting projects in a fast-growing, innovative company Next steps Send your CV and a cover letter to explaining why you are the best candidate for this role, referencing the requirements above and including two to three brief examples of relevant results. Note: All offers are subject to eligibility to work in the UK or Greece and satisfactory references. At Krotos, we value diversity and are committed to fostering an inclusive environment. We encourage applications from candidates of all backgrounds. Reasonable adjustments are available throughout the application and interview process.

Machine Learning Engineer (NLP) Location: remote only within the UK Salary: up to £100,000 Job Purpose As a Machine Learning Engineer (NLP), you will work with our small but growing team and play an active role in building our Machine Learning/NLP capability. You will be responsible for developing and refining the NLP algorithms and infrastructure of our AI-powered design platform. You will apply SOTA NLP techniques to solve complex problems while collaborating with cross-functional teams. As Machine Learning Engineer (NLP), you will be responsible for: • Building and deploying NLP models using the latest techniques to solve real business problems at scale, and exposing them through APIs, • Working with unstructured data to extract insights and build robust data pipelines, • Evaluating, tracking, and improving the performance of NLP models through MLOps, • Driving innovation through research, experimentation, and rapid prototyping of MVPs and POCs, collaborating with engineers and product teams to validate findings and plan execution, • Communicating technical concepts and results to non-technical stakeholders, • Playing an active role in the wider team and growth of the business To be successful in this role you will have: • Building and deploying NLP models using the latest techniques to solve real business problems at scale, and exposing them through APIs, • Working with unstructured data to extract insights and build robust data pipelines, • valuating, tracking, and improving the performance of NLP models through MLOps, • Driving innovation through research, experimentation, and rapid prototyping of MVPs and POCs, collaborating with engineers and product teams to validate findings and plan execution, • Communicating technical concepts and results to non-technical stakeholders, • Playing an active role in the wider team and growth of the business, and building scalable systems, • Have experience working with Azure, AWS or GCP, • Be a relentless problem solver, understanding requirements and designing solutions, • An entrepreneurial spirit and an interest in building world-changing ethical AI solutions, • Excellent communication skills and be able to explain complex technical concepts to non-technical stakeholders, • Be detail-oriented and able to manage multiple projects simultaneously Start-up life is not for everyone! To really thrive with us you will be 'Start-up ready'. You are naturally proactive, open to change, have a continuous improvement mindset, are flexible, happy to go beyond your brief, enjoy working at pace and are comfortable with ambiguity. And finally, you will really resonate with our values: • Customer Focus - we are obsessive about delivering value and reducing complexity for customers, • Collaboration: we’re all about the team - collaborating, supporting and recognising everyone’s contributions, • Openness & Honesty: we are open, honest, and straight-talking with each other and our customers, • Authenticity & Humility: we bring our whole selves to work, and we have the humility and self-honesty to admit when we are wrong

Data Scientist / Machine Learning Engineer – Defence & Security Bristol, London, Manchester DV Cleared Required The Opportunity Join a growing Data Science & Machine Learning team working on some of the most ambitious and mission-critical programmes in the Defence & Security sector. This role offers the chance to apply cutting-edge AI techniques to real-world challenges, delivering impactful solutions that support national security. Key Responsibilities • Apply data science, machine learning, and AI techniques to solve complex, real-world problems, • Research, design, and implement innovative models and solutions, • Work across the full ML lifecycle from requirements gathering and prototyping to deployment and live service support, • Deliver high-quality, scalable solutions with measurable impact, • Collaborate with multidisciplinary teams in agile environments, • Contribute to new ideas, propositions, and project delivery, • Build strong relationships with stakeholders and communicate insights effectively Essential Skills & Experience • Proven experience applying data science or machine learning in Defence, Security, public sector, or academia, • Strong understanding of machine learning models (e.g. Transformers, CNNs, Generative AI) and their practical applications, • Excellent communication skills with the ability to present complex ideas clearly, • Experience working with stakeholders and cross-functional teams, • Track record of contributing to project delivery, innovation, or capability development Desirable Skills • Experience working with text, audio, image, or video data, • Familiarity with cloud platforms (AWS, Azure, GCP), • Strong Python skills and experience with ML libraries and frameworks (e.g. TensorFlow, PyTorch), • Knowledge of statistics and probability, • Experience with ML lifecycle tools (e.g. MLflow, Kubeflow, Argo), • Understanding of Ethical and Responsible AI principles Security Requirements You must hold active UK Developed Vetting (DV) clearance.

Metric have partnered with a leading quantum technology company developing next-generation computing systems. They’re hiring a Quantum Software Engineer to turn cutting-edge quantum research into practical, executable software. Location - London, UK (Hybrid or Remote) You’ll design and implement quantum algorithms across simulation, optimisation, and hybrid quantum-classical workflows, working closely with hardware and compiler teams to ensure efficient performance on real devices. RESPONSIBILITIES: • Develop and optimise quantum algorithms and applications, • Build scalable, production-grade quantum software, • Collaborate with cross-functional teams (hardware, research, engineering), • Deploy and improve software on cloud-based platforms, • Support users and contribute to technical projects REQUIREMENTS: • Master’s degree in a relevant field, • Strong Python and software engineering skills, • Experience with quantum frameworks (e.g. Cirq, Qiskit), • Ability to work in collaborative, fast-paced environments DESIRABLE: • PhD in a related field, • Knowledge of quantum computing concepts (e.g. error correction, VQAs), • Experience with cloud, backend systems, or CI/CD tools If this sounds like you... apply today!

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 Inworld Inworld is a product-oriented research lab of top AI researchers and engineers, developing best-in-class realtime multimodal models and the only realtime orchestration platform optimized for thousands of queries per second. We’ve raised more than $125M from Lightspeed, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta and Stanford, among others. Our technology has powered experiences from companies such as NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella and Bible Chat. We’ve also been recognized by CB Insights as one of the 100 most promising AI companies globally and have been named one of LinkedIn's Top 10 Startups in the USA. Who We're Looking For A year ago, reliably working agentic systems and sub-second multimodal inference at scale barely existed. Nobody has a decade of experience here. So we're not screening for a resume template — we're looking for strong people from varied backgrounds who learn fast, thrive in ambiguity, and can show us what they've built, broken, and understood. Experience We Find Useful You don't need all of this. But you need enough to make a case. • Inference Optimization. Deep understanding of modern serving frameworks and techniques like vLLM or TRT-LLM., • Model Acceleration. Hands-on experience with quantization, distillation, caching strategies , continuous batching, paged attention, and speculative decoding., • High-Performance Systems. Proficiency in C++, CUDA, Rust, or highly optimized Python. You know how to profile code and squeeze every ounce of performance out of NVIDIA GPUs., • Distributed Systems & Scaling. Experience with Kubernetes, Ray, custom load balancing, multi-GPU/multi-node inference, and reliably handling thousands of concurrent connections., • Public work. Non-trivial systems programming projects, open-source contributions to major inference engines, or deep-dive technical write-ups., • Full-cycle ownership. You can take a model from the research team, containerize it, optimize its serving, and ensure it runs reliably in production., • Background. PhD in CS, Physics, Math, or equivalent practical experience building backend or ML systems. Who Thrives Here • You don’t need a roadmap to start walking; you’re comfortable picking a direction and building the map as you go., • You believe engineering isn't finished until it’s shipped and stable. You have a bias for impact over purely theoretical optimizations., • You don't just ship code; you obsess over the why. You’re the first to question an architecture if you think there’s a better way to solve the core latency or throughput problem., • You aren't satisfied with "the PM said so." You thrive on deep context and want to understand the fundamental logic behind every decision we make. What Working Here Is Like We hand you unclear problems and expect you to make them clear. We value engineers who say "I don't know yet" and then design the benchmark or prototype that finds out. We treat performance, latency, and reliability as first-class product features, not a box to check before launch. Impact comes before everything else, though we support sharing work and open-source contributions that move the field forward. Your work should be visible. Flat structure, fast iterations, minimal process theater. The base salary range for this full-time position is £140,000 – £200,000. In addition to base pay, total compensation includes equity and benefits. Within the range, individual pay is determined by work location, level, and additional factors, including competencies, experience, and business needs. The base pay range is subject to change and may be modified in the future. Candidates must already have the legal right to work in the United Kingdom, as visa sponsorship is not available for this role. For candidates interested in relocating to the San Francisco Bay Area in the future, full U.S. visa and relocation support may be available, subject to business needs and applicable legal and work authorization requirements.

Vysta PMG manages $200M+ in annual Google and YouTube ad spend across 150+ ecommerce brands. We're hiring a Data Scientist to own the measurement stack that proves what our spend is actually driving. Most ecommerce brands don't trust the ROAS their ad platforms report — and they're right not to. Last-click attribution overstates what paid is contributing, platform models double-count across channels, and the number on the dashboard rarely matches the number on the P&L. We're building the proof layer underneath all of it: geo-based incrementality testing, conversion lift studies, and Media Mix Models that reconcile Google with Meta, TikTok, and the rest of the funnel. What You'll Own • Design and run geo holdout incrementality tests across top-spending client accounts, • Stand up our MMM pipeline — white-labeled on Measured initially, then proprietary on Google Meridian for S-tier accounts spending $500K+/month, • Translate model output into client-facing proof of incremental impact, working alongside senior media buyers and account leads, • Partner with our engineering team on the data infrastructure that feeds the models (BigQuery, dbt), • Build the test design playbook that scales across 150+ accounts without requiring you in every conversation What We're Looking For • 4+ years running incrementality and/or MMM in production at an agency, brand, or measurement platform, • Strong Bayesian fundamentals — hands-on experience with Meridian, Robyn, PyMC, or a homegrown framework, • Strong Python, SQL, and BigQuery, • Working knowledge of the Google Ads and Meta ecosystems, • Ability to explain causal inference to a media buyer or client in plain English Why This Role Is Different Cross-account data from 150+ ecommerce brands is something no in-house team and no point-solution vendor can replicate. The frameworks you build get applied to $200M+ in active spend, and the work ships directly into client conversations — this is not a research role parked in a notebook. *

Location • Remote, but requirement to meet up once a month for in-person collaboration day, • UK based About Akixi Akixi is a leading provider of SaaS analytics solutions for cloud-based communication platforms, helping service providers and enterprises gain actionable insights from their telephony and collaboration data. Our solutions span Microsoft Teams, Cisco BroadWorks, Webex Calling, and CRM integrations — delivering real-time and historical analytics that improve customer experience and business performance. We are expanding our platform to include advanced AI capabilities — voice and chat assistants, intelligent analytics, and predictive insights — and are seeking an AI Engineer to define and deliver this vision. Job Summary & Purpose Own and drive Akixi’s AI and ML strategy — from concept and architecture through hands-on prototyping and deployment — to embed intelligence into Akixi’s products and analytics platforms. As the AI Engineer, you will define and execute Akixi’s AI roadmap, combining leadership of architecture and engineering practice with hands-on development of prototypes and production features. You’ll partner with Product, Data, and Platform Engineering to design and integrate AI-driven capabilities such as voice/chatbots, natural-language analytics, and predictive models. This role balances strategic technical direction with hands-on implementation, ensuring Akixi’s AI initiatives deliver tangible business and customer outcomes. Key Responsibilities • Lead the definition and delivery of Akixi’s AI strategy and technology roadmap., • Architect scalable AI solutions integrated into Akixi’s SaaS analytics platform., • Prototype, develop, and integrate AI-driven components such as chatbots, voice assistants, ML models, and LLM-based analytics., • Apply prompt engineering and model-tuning techniques to optimize chatbot and LLM behaviour., • Conduct research, proof-of-concepts, and feasibility studies for emerging AI technologies., • Collaborate with Product Management to scope AI features and align them with business goals., • Partner with Data Engineering to operationalize models, manage training data, and implement monitoring and retraining pipelines., • Work closely with Development, DevOps, and QA teams to ensure smooth CI/CD integration and deployment of AI components., • Establish standards for AI code quality, ethics, and data governance., • Mentor engineers working on AI-related projects, fostering technical excellence and innovation., • Evaluate external AI vendors, tools, and frameworks for adoption or integration., • Stay ahead of developments in AI/ML, LLMs, and applied analytics, translating trends into practical opportunities for Akixi. Required Skills & Experience • 4+ years in software engineering, with at least 2+ years focused on AI/ML or data-driven product development., • Proven expertise in developing and integrating AI solutions such as chatbots, voicebots, ML models, or LLM-based analytics., • Strong proficiency in Python (preferred) and/or JavaScript/TypeScript., • Hands-on experience with AI frameworks (e.g. TensorFlow, PyTorch and/or LangChain) and LLM APIs (e.g. Azure OpenAI, OpenAI API, Anthropic and/or AWS Bedrock)., • Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms., • Deep understanding of prompt engineering and fine-tuning of large language models., • Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning., • Familiarity with cloud AI/ML services (e.g. Azure Cognitive Services, AWS SageMaker, and/or GCP Vertex AI)., • Experience deploying and monitoring AI workloads in CI/CD environments (e.g. Jenkins, Docker, Kubernetes, and/or AWS)., • Ability to design data pipelines, APIs, and microservice integrations supporting AI features., • Excellent problem-solving, communication, and cross-team collaboration skills., • Proven ability to lead technically while remaining hands-on in design and coding. Advantageous Skills & Experience • Experience with call/contact-centre analytics, Microsoft Teams Graph API, or telephony platforms (e.g. BroadWorks, Webex Calling)., • Knowledge of data governance, model ethics, and MLOps practices., • Exposure to data visualization and predictive analytics for customer-experience metrics., • Advanced degree in AI, ML, Data Science, or related discipline. Why Akixi At Akixi, you’ll play a pivotal role in transforming how businesses understand and act on communication data. You’ll define and deliver the intelligence layer of a platform used by thousands worldwide — in an environment that values innovation, experimentation, and technical depth. We offer a collaborative culture, hybrid flexibility, and the opportunity to lead meaningful, high-impact AI initiatives from vision to production.

Job Description for Design Engineer (Mechanical/Chemical/Process) Environmental Control Systems Location: Remote (UK-based) with travel to client sites Grade: S4 – Intermediate Project/Design Consulting Engineer Salary: £42,000 – £48,000 per annum (dependent on experience) Contract: Permanent, full-time (40 hours/week, flexible) Reports to: Managing Director / Senior Engineer OUR COMPANY MECHON is an independent environmental control systems consultancy. We design ventilation, LEV, specialist HVAC, and air pollution control systems for manufacturing, defence, pharmaceutical, and R&D environments across the UK and internationally. Our clients include major defence contractors, automotive manufacturers, chemical companies, and research facilities. We are not a contractor or installer. We are the consulting engineers who assess the problem, design the solution, write the specifications, and oversee delivery. Our work combines chemical and mechanical engineering — from workplace exposure assessment and DSEAR risk analysis through to full system design, dispersion modelling, and commissioning support. We are looking for a Design Engineer to join our team at Intermediate level (Grade S4), with a structured 2–4 year development pathway toward becoming a fully independent consulting engineer. WHAT YOU'LL DO You will work under the guidance of senior engineers to deliver environmental control system designs from concept through to completion. This is a consulting engineering role — the primary outputs are engineering calculations, risk assessments, technical reports, and design specifications. We have a dedicated CAD team; drawing production is not your core function. Your responsibilities will include: • Engineering calculations for LEV and process HVAC systems (airflow, pressure drop, thermal loads, exposure benchmarking), • ite surveys and audits to assess existing systems and gather design information, • Risk assessment work including COSHH exposure assessment and DSEAR under senior supervision, • Technical report writing and design specifications for clients, • Client liaison - attending design meetings, presenting findings, managing technical relationships, • Supporting project delivery from concept through to commissioning and handover WHAT WE NEED FROM YOU We don't expect you to arrive as a ventilation specialist. We do expect a solid grounding in engineering fundamentals that we can build on. Essential: • Degree in Mechanical Engineering, Chemical Engineering, Process Engineering, or closely related discipline, • Minimum 3 years' post-graduation engineering experience (does not need to be in ventilation, • process engineering, chemical plant, risk assessment, building services, or similar are equally relevant), • Working knowledge of fluid dynamics, thermodynamics, and heat transfer applied in a professional setting, • Strong written English and the ability to produce clear, structured technical reports, • Full UK driving licence, • UK right to work Desirable: • Experience with risk assessment methodologies (HAZOP, DSEAR, COSHH, or similar), • Exposure to consultancy or client-facing technical roles, • Professional registration or working toward CEng/IEng, • Competence with CAD software (AutoCAD, Revit, or similar) THE KIND OF ENGINEER WHO DOES WELL HERE Our environment is different from a large consultancy. There's no layer of project managers between you and the client. You won't have a team of 20 around you. What you will have is direct responsibility, genuine autonomy, and senior engineers who will invest time in your development. Our most successful engineers share certain qualities: they take ownership of problems without waiting to be told, they communicate clearly under pressure, they're motivated by the quality of their work rather than their job title, and they have the patience to develop genuine expertise in a specialist discipline. Our most successful hires have come from a range of backgrounds including chemical engineering, process engineering, and mechanical engineering. What matters more than your specific discipline is how you think, how you communicate, and whether you take pride in producing work that stands up to scrutiny. WHAT WE OFFER • £42,000 – £48,000 depending on experience, • Fully remote working with UK-wide site visits, • Structured development programme with senior engineer mentoring, • Funded CPD and professional development (training courses, BOHS qualifications, chartership support) 22 days annual leave plus bank holidays, increasing to 25 at the next grade, • Pension with employer contribution, • Travel expenses for site visits fully reimbursed, • A specialist consultancy where your engineering skills are the product, not a support function HOW TO APPLY Please submit your CV and a brief covering statement (no more than 300 words) explaining why this role interests you and what you would bring to MECHON. We are particularly interested in the breadth of your professional experience and how you approach unfamiliar technical problems. We don't use automated screening. Every application is reviewed by the team.

Product Manager Ownership of end-end product vision Why? PE backed SaaS Vendor Location - office visits on day 1 and monthly - Reading area • Do you have experience of working with digital time recording, billing and/or payments tools in regulated / business-critical software?, • Do you have proven Product Management experience owning a product end-end? A growing SaaS vendor is looking for an experienced Product Manager to be responsible for the commercial, strategic and delivered outcomes of an product area (time keeping and recording, billing workflows, and payment management). This role operates as a standalone end-to-end Product Manager for a defined product area. You will own the product strategy and roadmap including discovery, analysis, release, and commercials. This is a great opportunity to take ownership of a fast growing product suite and ultimately have accountability for the product success. Product Manager - Responsibilities • Product strategy & discovery - define and own product roadmap and vision, • Carry out market analysis, customer research and user interviews to create user stories, • Own and manage the product backlog - plan releases and delivery phases in collaboration with Development teams, • Build and maintain business cases, ROI and KPIs/success metrics, • Define pricing and packaging with commercial stakeholders, • Communicate and collaborate with stakeholders at all levels Product Manager - Requirements • Demonstrable experience in a Product Manager, Senior Product Manager, or equivalent product-led role, with clear accountability for end-end product outcomes, • Experience designing and developing products with integrated time-tracking, billing workflows, and/or end-to-end payment management capabilities (example industries include legal / case management, architecture, project management, accounting, or HR), • Excellent understanding of UK Tax Legislation and accountancy compliance, • Experience working in a commercial, regulated, and/or business-critical software environment, • Hands-on experience working with cross-functional delivery teams (e.g. engineering, design, QA, delivery), • Evidence of data-informed decision making, including defining success measures and using qualitative and quantitative insight to guide prioritisation, • Beneficial - exposure to compliance-driven or regulatory change, working alongside specialist legal or compliance functions For more information, please contact Katie at Matched Group.

Hiring: Intelligence Architect | Software Engineering → Architecture → AI | London / Remote Conquer AI is hiring an Intelligence Architect to help design and deliver AI systems for enterprise clients. This is a client-facing role for someone who started their career in software engineering, built strong technical depth, and has since moved into architecture, AI, and solution design. We are not looking for data scientists who have moved sideways into AI. We are looking for people who come from an engineering-first background and understand how to turn real operational problems into working systems. The role You will work with clients from discovery through to delivery. That means: leading discovery sessions and technical workshops understanding business processes, operational pain points, and technical constraints shaping solution architecture across AI, APIs, data sources, integrations, and governance translating ambiguous problems into clear technical approaches working closely with engineering teams to deliver production-ready systems giving clients confidence through clear, credible technical leadership This role sits between engineering, architecture, and client engagement. It needs someone who can think clearly, communicate well, and stay close enough to delivery that solutions actually get built properly. What we’re looking for strong background in software engineering moved into architecture, technical design, or solution ownership over time experience working with AI systems, LLMs, intelligent workflows, or related technologies in real delivery environments comfortable owning technical conversations with clients and stakeholders able to operate well in ambiguity and bring structure to open problems confident working across discovery, design, and delivery strong judgement, strong communication, and a high bar for quality This role is likely a fit if you have started as a backend, full-stack, platform, or solutions engineer gone on to lead architecture or end-to-end technical design worked directly with clients, users, or senior stakeholders helped shape systems, not just build tickets experience delivering in fast-paced environments where ownership matters This role is not for recent graduates early-career engineers purely academic or research-led AI profiles data scientists without strong software engineering foundations candidates who have used AI tools but have not designed and delivered real systems Location We are based in London, UK, but this role can be remote for the right person. If this sounds like you, or someone you know, get in touch.

Salesforce Engineer Remote - need to be based in the UK or Ireland up to £50k + 4% bonus No visa sponsorship offered The Role: We're looking for a Salesforce Engineer who goes well beyond clicks and configuration. You'll be embedded in a small Enterprise Systems team, developing across Sales, Service and Community Cloud - writing Apex, building Lightning components, designing flows, and owning work from first requirement to live release. What You'll Be Doing: • Build and maintain robust Salesforce features - Apex, triggers, flows, Lightning pages and custom objects, • Take ownership across the full delivery cycle, from scoping and design through to testing and deployment, • Work closely with internal teams and external partners to understand problems and ship solutions that actually land, • Use AI development tools intelligently - speeding up the work without skipping the critical thinking, • Keep quality high across every stage, with an eye on real-world, user-facing behaviour, • Contribute to planning, estimates and release activities as a trusted member of a small, high-ownership team What We're Looking For: • Solid Salesforce development experience (3 - 5 years), with strong Apex and Lightning skills, • Familiarity with Salesforce APIs - REST, SOAP, Bulk and Metadata, • Comfort with modern tooling: SFDX, Git, Salesforce CLI and CI/CD pipelines, • Experience with or curiosity about AI-assisted development tools, • A Salesforce Developer certification is a plus, as is Agile/Scrum experience, • Someone who works well independently, communicates clearly, and takes pride in what they ship ADVERT DISCLAIMER Research indicates that men will apply to a role when they only meet 50-60% of the descriptions, however, when looking at women and other minority groups, they can look for up to a 99% match in order to apply to a role. If you feel you are a fit for our role, please still apply, don’t worry if you don’t tick every single box. We’d still love to hear from you. We encourage underrepresented talent to apply to all our roles & support accessibility needs

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.

🚀 We’re Hiring: Data & DevOps Engineer (Biotech) Help shape the future of immune therapies. A fast-growing biotech company is on a mission to tackle immune dysfunction — a root cause of many cancers, autoimmune conditions, and infectious diseases. By developing first-in-class antigen modulation technologies, the team is pioneering a new approach to controlling how the immune system recognises and targets cells. As the company enters its next phase of growth, we’re looking for a Data & DevOps Engineer to join the IT function and play a key role in building scalable, secure, and reproducible data systems that support cutting-edge science. 🔍 The Role This position sits at the intersection of IT, data, and scientific teams (including Bioinformatics). You’ll lead on designing and delivering modern data infrastructure and DevOps practices that enable high-quality, reproducible research and analytics. 🛠 What You’ll Be Doing • Design and maintain secure, scalable cloud infrastructure (AWS), • Build and optimise CI/CD pipelines for scientific workflows (e.g. Nextflow), • Implement containerisation (Docker) for reproducibility and traceability, • Develop infrastructure-as-code (e.g. CloudFormation), • Architect data pipelines and platforms for structured and unstructured data, • Integrate analytics tools (e.g. Power BI, Spotfire, Microsoft Fabric), • Enhance data governance, lineage, and auditability, • Collaborate closely with scientists and bioinformaticians, • Produce clear technical documentation, • Manage external vendors supporting cloud infrastructure, • Continuously improve systems and processes ✅ What We’re Looking For • Experience in DevOps, Platform Engineering, or similar within biotech, pharma, or life sciences, • Strong expertise in AWS, Docker, and CloudFormation, • Hands-on experience with Linux systems and CI/CD pipelines, • Experience designing data pipelines and ETL processes, • Understanding of data modelling and master data management, • Ability to collaborate effectively with scientific stakeholders ⭐ Nice to Have • Experience in regulated or research-driven environments (data governance, reproducibility), • Exposure to Microsoft Fabric, Azure data services, or modern BI tools, • Experience with AI services (e.g. Amazon Bedrock), • DevOps/security certifications, • API integration experience 🌱 Why Join? • Be part of a company driving a fundamental shift in disease treatment, • Work at the cutting edge of science, data, and engineering, • Collaborate with world-class researchers and technologists

Founded by ___, creator and co-founder of ___ (Series B, $425M valuation), Colossal is building at the intersection of generative app development and commerce infrastructure. Think: Lovable for commerce. We're backed by Tier 1 investors: ___, ___, ___, and are planning to raise our seed round later this year. Why Colossal? We're building the world's first AI-native commerce infrastructure platform, working with bleeding edge technologies and paradigms to redefine how businesses sell online. Join our early team and help shape the future of AI commerce. We’re still in stealth, so get in touch to learn more. 🥷 What we’re looking for • 5+ years experience building service-oriented software products end to end, ideally at early-stage startups, • A strong understanding of AI-based developer tools, methods and paradigms, • Generalist mindset with experience across the full stack, • Strong understanding of CI/CD, cloud infrastructure, observability, and developer tooling, • Comfortable owning products and features end to end, and taking responsibility for performance and optimisation, • Strong communicator, able to distribute knowledge across the team effectively through documentation, talks, demos and presentations What you’ll do • Build and own core backend services for our commerce infrastructure tools, including billing, workflows, and financial operations, • Build features that integrate AI into real-world product experiences, • Play a key role in software architecture design, including research, writing POCs for further refinement How we hire • Initial call with the founder (30 mins), • Complete a take home exercise, • Task review and pair programming with a team member (1 hour), • Meet with the product team for 2-way interview (30 mins), • Offer stage (including reference checks) To apply, please send your resume and a brief intro describing your interest to:

Python Software Developer Permanent | Hybrid | Python | AI | BPSS We are looking for Software Developers with strong Python and AI experience to work at an early stage alongside enterprise architects and senior engineers. You will help research, design and prototype the foundations of a new service, with particular emphasis on automation, integration and intelligent workflows. You will join Peregrine who are supporting a large public sector organisation, starting an ambitious transformation programme focused on modernising how financial support services are delivered. The aim is to explore whether multiple existing approaches can be consolidated into a single, streamlined service. This work is at Alpha stage, with a strong focus on research, prototyping and proving technical and architectural options. This is a hands-on role suited to engineers who enjoy shaping solutions from first principles and working in exploratory delivery phases. The role is primarily remote, however travel to Newcastle may be required for sprint ceremonies and key workshops. Responsibilities: Engineers will contribute to research and development across: Workflow orchestration and process design Web portal options and user interact...

About Quantiphi: • Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI—driving measurable outcomes at the very core of their operations., • Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value—not just technology for technology’s sake., • Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact. We have been recognized with: • 3x AWS AI/ML award wins., • 3x NVIDIA Partner of the Year titles., • Recognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firms., • We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators., • We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023. Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! For more details, visit: ___ or ___. Role: Cloud Data Architect (AWS) Experience Level: 8+ years Employment type: Full Time Location: Remote (UK) Description: • We are seeking a highly skilled AWS Data Migration & Data Engineering Consultant to lead end-to-end data migration initiatives across on-prem, cloud, and multi-cloud environments into AWS., • This role focuses on defining and executing data migration strategies, including assessment, wave planning, migration execution, and post-migration stabilization, while ensuring data integrity, minimal downtime, and alignment with business SLAs., • The ideal candidate brings strong experience in cross-platform database migrations (Oracle, SQL Server, MySQL, or cloud-native systems) combined with deep expertise in AWS data engineering services and modern data pipeline development. Key Responsibilities: • Lead end to end database migrations to AWS from diverse sources, including on-premises systems (e.g., Oracle, SQL Server, MySQL) and other cloud platforms (e.g., GCP, Azure)., • Lead end-to-end data migration strategy and execution, including assessment, dependency mapping, and wave planning., • Design and implement migration frameworks using AWS DMS, SCT, Glue, and Redshift., • Define and execute data validation, reconciliation, and cutover strategies ensuring zero/low data loss., • Enable CDC-based replication and minimal downtime migrations across heterogeneous systems., • Design and optimize ETL/data pipelines using AWS Glue, PySpark, or EMR., • Architect and implement scalable, secure, and highly available data platforms on AWS., • Drive schema conversion and modernization strategies (heterogeneous migrations where applicable)., • Optimize performance of source and target systems pre- and post-migration., • Manage and govern S3-based data lakes and metadata using Glue Data Catalog., • Collaborate with application, infrastructure, and analytics teams for seamless migration and stabilization., • Implement monitoring, rollback, and failure recovery mechanisms., • Ensure adherence to security, governance, and compliance standards. Skills: • 8+ years of experience in database migration and data engineering., • Proven experience in cross-platform data migrations (on-prem to cloud or cloud to cloud)., • Experience designing and implementing data validation and reconciliation frameworks., • Strong experience in ETL/data pipeline development (Glue, PySpark, EMR, or equivalent)., • Deep proficiency in SQL and data modeling concepts., • Experience working with S3-based data lakes and Glue Data Catalog., • Strong understanding of CDC, transaction consistency, and migration cutover strategies., • Hands-on experience with performance tuning, schema design, and query optimization., • Proficiency in Python/PySpark and scripting (Shell/Python)., • Experience with Oracle, SQL Server, MySQL, PostgreSQL, or cloud-native databases., • Strong hands-on expertise with:, • AWS DMS (Database Migration Service)., • AWS SCT (Schema Conversion Tool)., • AWS Glue (ETL & data integration)., • Amazon Redshift (data warehousing). Nice to Have: • Exposure to real-time replication tools (e.g., GoldenGate or equivalent)., • Database Administration (DBA) expertise, including backup & recovery strategies, HA/DR design, database patching and upgrades, lifecycle management, capacity planning, performance monitoring, and security hardening., • Experience with Lake Formation and data governance frameworks., • Familiarity with Data Mesh and cross-account data sharing architectures., • Experience with CI/CD for data pipelines (CodePipeline, Jenkins, etc.)., • Knowledge of Infrastructure as Code (Terraform / CloudFormation)., • AWS Certifications (Solutions Architect / Data Engineer)., • Experience in mentoring teams and leading large-scale migration programs. What is in it for you: • Make an impact at one of the world’s fastest-growing AI-first digital engineering companies., • Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues., • Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines., • Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.

About the role If you want to make a difference working with the largest names in pharmaceuticals and at the frontier of pharmaceutical marketing and educational content generation, read on. Circuit Medical is transforming how pharmaceutical companies generate educational and marketing content. Our leading platform is already being used at numerous leading pharmaceutical companies. We’re looking for leading AI Engineers who can take real-world customer and market requirements and turn them into working, scalable products; fast. You’ll own the full journey from prototype to scalable, production-grade systems. The level of role e.g. Principal, Senior will be dependent on candidate experience. What we need Someone who is equally comfortable whiteboarding an agentic architecture, scaling prototypes, and shipping the code behind it. You live at the intersection of R&D and product delivery, and you’re motivated by building products and features that scale and demonstrate returns, and not just those that demo well. Your job · Translate customer and market requirements into AI-powered product features, swiftly moving from concept to working software · Design and build agentic architectures using LLMs: from single-agent workflows to multi-agent systems · Lead on R&D cycles: research new approaches, prototype rapidly, evaluate rigorously, and ship what works in a rapid timeframe · Build scalable, production-ready systems: not throwaway prototypes · Collaborate across product, engineering, and commercial teams to ensure what you build solves real problems · Ship improvements continuously, driven by data and user feedback You should be · Someone who can demonstrate experience with LLMs, AI agents, and agentic design patterns e.g. tool use, RAG, planning, orchestration · Able to translate requirements into clear technical direction, and then execute on it · Genuinely curious: you read papers, run experiments, and stay close to the frontier · Entrepreneurial: you treat each challenge as an opportunity to shine and are tenacious · Motivated by building unique, scalable products that demonstrate impact in a real-world setting · Resilient and comfortable operating with ambiguity; you don’t wait for perfect specs, but continuously ask questions and offer improvements · Independent and self-driven, and a strong collaborator · Driven by customer feedback and customer centricity · Able to demonstrate at least 5 years’ experience in similar roles Stack · Python, React, data engineering pipelines, implements evals to drive robust product performance understanding, API integrations, CI/CD, AWS cloud infrastructure experience · Bonus: experience deploying models in different languages, working to ISO27001 ISMS standards, experience with biotech/pharma This role isn’t for you if… · You need a fully defined roadmap before you start building · You prefer deep specialisation in one narrow area over breadth and ownership · You’re looking for a slow, predictable environment What we offer · Competitive salary and benefits · Opportunities for professional growth · Flexible work hours and remote work · Collaborative, inclusive work environment · Chance to work on cutting-edge AI technologies with real-world impact Selection process · Screening interview with HR · Introductory interview with hiring manager/technical exercise · Capability interview with CEO/team members About Circuit Medical Circuit Medical is a well-established, research-driven global consultancy and AI solutions provider, that maximises the value of medical affairs for the biopharmaceutical industry, supporting leading companies like AstraZeneca, Roche, and Takeda. We're expanding our digital offerings with products designed to enhance quality, efficiency, and performance for clients that ultimately help them to improve patient care. We thrive on curiosity, innovation, collaboration, and delivering high-quality work. We’re a small, fast-moving team that values curiosity, ownership, and shipping over talking. If you want high autonomy, meaningful problems, and the chance to shape products from the ground up then we’d love to hear how you can add to our welcoming and innovative team. We're an inclusive team that celebrates diverse backgrounds and perspectives, providing equal opportunities regardless of race, colour, religion, age, sex, sexual orientation, gender identity, national origin, or disability.

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.

Senior AI Engineer (NLP / LLMs) – remote (UK based) £70-100k depending on experience A high-growth SaaS company is hiring a Senior AI Engineer to help build intelligent, mission-critical systems used in highly regulated environments. The platform applies machine learning and large language models across complex, end-to-end data workflows, solving real-world problems with measurable social impact. The Role As a Senior AI Engineer, you’ll design, build and deploy advanced NLP and LLM-based solutions, taking models from research through to production. You’ll work closely with AI, data, MLOps and product teams to translate business and regulatory requirements into scalable, reliable AI systems. This is a hands-on role for someone who enjoys owning outcomes, balancing experimentation with real-world delivery. What You’ll Be Doing • Designing and developing NLP and LLM-driven solutions for complex, real-world use cases, • Fine-tuning and adapting foundation models using domain-specific data, • Building evaluation frameworks, prompt testing tools and data preprocessing pipelines, • Monitoring, optimising and maintaining deployed models for performance, cost and reliability, • Implementing explainability, fairness and bias-mitigation strategies, • Collaborating on MLOps pipelines, CI/CD workflows and production deployments, • Mentoring junior engineers and promoting best practices across the team, • Staying current with advances in AI, NLP and MLOps to drive continuous improvement What We’re Looking For • Proven experience as an AI or Machine Learning Engineer with end-to-end model ownership, • Strong expertise in NLP and LLMs (transformers, fine-tuning, RAG, agents), • Experience translating research and experimentation into production systems, • Solid understanding of MLOps, including CI/CD, monitoring and model lifecycle management, • Hands-on experience with Docker and Kubernetes, • Experience working in regulated or sensitive domains, • Exposure to graph-based retrieval techniques, • Experience with Azure ML and DevOps integrations

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 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 — 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 • 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.

Mirada is a global medical imaging company with over 2000 sites using our technology worldwide. Our mission is to accelerate cancer care by equipping clinicians and healthcare professionals with the world’s best medical imaging. We blend the scale of an established business with the fast-moving pace of a start-up. With over 1.5 million patients treated each year using Mirada products, our work makes a real difference throughout oncology and cancer care. Mirada’s Development Team are seeking a self-motivated software engineer with an interest in the medical imaging domain to participate in the design and development of Mirada’s global software systems. Working collaboratively within small multi-discipline project teams, you will take a role specialising in the development of Mirada’s medical software products and being involved in all aspects of the product lifecycle to bring new versions to market. RESPONSIBILITIES Functional • Software development including analysis, architecture and design, development, testing and all associated documentation, • Estimation and regular updating of progress of all tasks, • Active participation in reviews of the work of own and others, • Proactively participates in company and functional improvement initiatives, • Actively participate in the quality process and contribute to its continuous improvement, • Work individually or as part of a team, and interacting with all functional groups as required, • Support and maintenance activities for software issues including, where necessary, site-visits, • Research, investigation and prototyping in new areas when requested, • Validation of internal and 3rd party software, • May coordinate and lead the work of small teams, reporting progress to Technical Leads, • May be expected to become the lead or specialist in one or more technologies or disciplines, • Pursue learning and self-development and sharing of knowledge with others, • Complying with the requirements of the Quality Management System and Information Security Management System and all policies and procedures, • Reporting Non-Conformances, Reportable Events and Information security Incidents, • Providing feedback on any QMS or ISMS improvements SKILLS AND EXPERIENCE Essential Skills • BSc computer science or relevant Science/Engineering degree, • Experience in Java development, including the use of Swing, • Experience of working with IDE, source control systems, issue tracking systems and build systems., • Experience of developing software to requirement specifications, • Understanding the full software development lifecycle, • Ability to work as part of a multi-disciplinary team, • Ability to gather input from key stakeholders during design phase, • Excellent time management skills, with ability to estimate work and meet deadlines individually and as part of a team, • The ability to analyse and use initiative to solve technical challenges, • Takes a methodical and structured approach to tasks, • Eager and self-motivated to learn and assist others Advantageous Skills • Experience working in a regulated environment, • Familiarity with UML or other design methodologies, • Ability to effectively communicate with technical and non-technical users, • Comfortable dealing with customers and representing Mirada and its values Why Mirada: • We are a socially impactful company. At Mirada, you will see how the products we create make a difference in the treatment of cancer., • We are a company that is proud of people’s careers and want to give you the skills to progress and grow. We offer countless opportunities to learn new skills through coaching, mentoring and formal training., • We actively emphasise the importance of a good work-life balance, as such we are a company that can flex to the commitments you have outside of work., • We are a company that actively promotes wellbeing and champions a stigma-free environment. With numerous health and wellbeing initiatives, everyone at Mirada has the help and support to thrive both at work and away from work.

Are you an experienced Electron Microscopy Scientist seeking a dynamic customer-facing role? This is an exciting opportunity to join a fast-growing, cutting-edge technology business developing advanced imaging software for electron microscopy. In this is a hands-on, customer-facing role you’ll provide pre-and-post sales support to customers. You will sit at the intersection of science, software and applications, helping translate innovative technology into real-world impact across academic research and industry. Key responsibilities include: • Acting as the technical bridge between customers and internal R&D teams, • Supporting installations, configuration and troubleshooting of advanced microscopy software, • Delivering product demonstrations, training sessions and workshops (remote and on-site), • Working closely with customers to understand workflows and recommend optimised solutions, • Feeding back insights to support product development and new feature design, • Supporting pre-sales activities with technical expertise, • Contributing to technical documentation and testing of new software releases, • Representing the business at conferences, workshops and industry events You will bring: • Degree in a relevant scientific discipline (e.g. Physics, Biology, Materials Science, Engineering or similar), • Strong hands-on experience with electron microscopy (TEM, SEM, STEM, FIB-SEM), • Experience with Python and image/data processing workflows is desirable, • A problem-solving mindset with the ability to apply complex techniques in practical settings, • Confident communication skills, • Solid understanding of imaging workflows, analysis software and data handling, • Flexibility to travel (~30%) and engage with customers across the UK and beyond If you’re looking for a role where you can combine technical expertise with real-world impact, and be part of a genuinely innovative, growing team, we’d love to hear from you. Apply now or get in touch for a confidential chat. Key words: Focused Ion Beam, Transmission Electron Microscopy, Scanning Electron Microscopy, light microscopy, microscope, applications, scientist, engineer, senior scientist, hybrid, travel, customer, UK, North West, Midlands, East Anglia, Oxford, Cambridge, Hertford, Manchester, Liverpool, Nottingham, Sheffield, York, Leeds, Harrogate. VRS9246DJ

Aveni is redefining how financial institutions use AI. We build real, production-ready agentic systems that reshape how banks, advisers and financial services firms operate, replacing fragmented processes with intelligent, end-to-end workflows. We have been recognised as Fintech of the Year for two consecutive years and awarded Best Specialist Technology Service at the Professional Adviser Awards 2025. Backed by leading investors including Puma Private Equity, and commercially supported by Lloyds Banking Group and Nationwide Building Society, we previously completed one of Scotland’s largest Series A rounds. Since then, we’ve continued to grow rapidly as adoption of AI in financial services accelerates, and we’re now scaling our team to meet that demand. The Role We’re looking for a Senior AI Engineer (FinLLM / NLP) to help drive the next generation of AI systems powering financial services. This role focuses on developing, fine-tuning and deploying advanced language models that operate at production scale within highly regulated environments. You’ll work alongside our NLP team, software engineers, and product leaders to build cutting-edge solutions that transform how financial organisations use AI. This is a hands-on role where you’ll shape both the technical direction and practical deployment of large language models and NLP systems within our platform. What You’ll Do • Build and optimise LLM-powered systems, • Architect, fine-tune and optimise machine learning models including LLMs and classical ML approaches, • Experiment with modern architectures such as Transformers and Mixture-of-Experts, • Apply efficient training and fine-tuning techniques including LoRA and parameter-efficient methods, • Develop robust evaluation approaches to measure model quality and reliability, • Develop scalable AI systems, • Build and deploy production-grade NLP pipelines and services, • Ensure models operate efficiently with low latency and high availability, • Integrate models into scalable cloud infrastructure and real-world applications, • Data strategy and model training, • Lead the acquisition, processing and governance of large structured and unstructured datasets, • Apply exploratory data analysis and validation techniques to improve training pipelines, • Ensure data privacy and governance standards suitable for financial services, • Engineering best practices, • Contribute to DevOps and MLOps pipelines, • Implement robust version control, testing and CI/CD workflows, • Support reliable deployment and monitoring of models in production environments, • Technical leadership, • Mentor engineers and contribute to the technical growth of the team, • Work closely with product, engineering and data teams to deliver AI solutions, • Stay at the forefront of AI and NLP research, applying new approaches where they add value What We’re Looking For Essential experience • Significant experience building, training and deploying machine learning models, • Strong Python skills with experience using NumPy, Pandas, SciPy and modern ML frameworks such as PyTorch or TensorFlow, • Experience working with large-scale unstructured data, • Experience building and deploying production-ready NLP systems, • Familiarity with API integrations and data acquisition pipelines, • Experience implementing software engineering best practices including Git and agile development, • Experience working with cloud environments (preferably AWS) Nice to have • Experience with containerisation technologies such as Docker or Kubernetes, • Experience with frameworks such as vLLM or NeMo, • Knowledge of financial services NLP applications, • Experience designing evaluation methodologies for LLM outputs, • Experience building intelligent agents or multi-agent systems, • Skills and mindset, • Strong analytical problem-solving skills, • Ability to design scalable, production-ready AI systems, • Clear communication with both technical and non-technical stakeholders, • Passion for AI innovation and continuous learning, • Leadership and mentoring capability Qualifications • MSc or equivalent experience in a relevant field such as AI, Machine Learning, Computer Science, or Data Science Join Us in Making a Difference At Aveni, we believe that diversity drives innovation. We’ve built our business to ensure an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you’re passionate about technology and its ability to drive positive change for the future of financial services, we’d love to hear from you. Even if you don’t meet 100% of requirements, we’d like to hear from you anyway if you believe you’d fit in. Apply now to join us on our mission to transform the financial services industry through AI. Benefits at Aveni What you’ll love: • Remote-first working across the UK, • Work abroad policy, • Co-working spaces available, • 34 days holiday (including flexible bank holidays) and your birthday off, • Company-wide off-sites, • Optional Personal Development Plan, • Flexible benefits platform, • Protection essentials including Life Insurance, Income Protection, Critical Illness cover, and Pension (up to 5% matched employer contribution with optional increased contributions), • Private health and dental care, • Potential share options, • Enhanced family leave

If you take a leadership role in projects, have a variety of project experience and support more junior colleagues working in design and delivery research you may be better suited to our Senior User Researcher role. To succeed in this role, you need experience of delivering user research to a delive

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Software Developer - SC cleared Permanent | Hybrid (willing to travel to Newcastle) | Python | AI | SC and BPSS We are looking for Software Developers with strong Python and AI experience responsible to lead the design, development, and operation of data‑driven applications and pipelines in a collaborative Dev and DevOps environment. The role focuses on writing and improving application code while working closely with DevOps engineers to support automated deployments, infrastructure management, system monitoring, reliability, and scaling. The post holder collaborates with Product Owners, Business Analysts, and users to translate business needs into robust technical solutions, operates and improves production services, analyses data and system issues to identify root causes, and champions engineering best practices. They also provide technical leadership through coaching and mentoring junior colleagues and contributing to continuous improvement across development, delivery, and operational processes. Responsibilities: Engineers will contribute to research, development and delivery across: * Design, build, and operation of data ingest and publishing pipelines * Workflow orchestration and task scheduling using managed services * Collaboration with Product Owners, Business Analysts, and users to shape technical solutions * Production support, monitoring, and continuous improvement of system resilience, stability, and performance * Data analysis and investigation to identify root causes of defects and operational issues * DevOps collaboration, including supporting automated deployments, infrastructure management, monitoring, and scaling * Coaching and mentoring junior engineers and promoting engineering best practices Skills & Experience: * Strong experience with Python and SQL * Experience with distributed data processing and analytics platforms * Experience applying AI or machine learning in practical solutions * Focus on automation and system integration * Workflow orchestration experience (e.g. pipeline or job scheduling frameworks) * Comfortable working in early stage, fast evolving environments (Alpha project experience) * AWS Services * Active BPSS, SC clearance or eligible for clearance Desirable skills: * Experience supporting AI or data driven platforms * Knowledge of cyber security or fraud prevention domains * Experience working within government or critical national infrastructure environments About Peregrine We build workforces that deliver tech and change programmes at leading UK organisations. By combining data science from Peregrine Intelligence, our industry-accredited Peregrine Academy, and market-leading attraction and diversity initiatives, we bridge capability gaps at all levels in public and private sector organisations. We work closely with our clients to understand their challenges and deliver flexible, long-term solutions that make a real difference. When you join Peregrine, you become part of a team that’s focused on growth, both yours, our clients’, and the sectors we support. You’ll also get access to a full range of benefits alongside your salary. Find out more: peregrine.global or check out our LinkedIn page: peregrine-resourcing