Remote Role Central London Office This is a fully remote role but you MUST be UK based and not require a visa to work. Lead R Data Science Engineer - Integrated Pest Management (IPM) Research & Solutions The Organisation Our client develops cutting-edge navigator software for the global agricultural sector, helping farmers transition toward more sustainable practices through science-backed analytics. Their software provides direct access to advanced sustainability models and insights. Their Sustainability division consists of specialised Research Software Engineers who transform scientific findings into practical models for farmers and land managers, enabling them to understand their systems better and build more sustainable, profitable operations. Position Overview We're seeking an experienced Data Engineer to join our client's Sustainability team as a lead technical specialist in our R-focused Research Software Engineering group to specialise particularly in Integrated Pest Management. You'll create and maintain the technical infrastructure that enables our sustainability experts and data scientists to develop innovative agricultural sustainability solutions to solve global issues in Integrated Pest Management (IPM). Core Functions Lead technical best practices across R package design, code architecture, documentation, and dependency management Establish and oversee versioning and CI/CD systems to enhance team workflows Guide team members in code architecture, development standards, and deployment processes Serve as the technical authority for computationally demanding tasks, especially spatial analytics and GIS-based product development Implement scientific research findings around Integrated Pest Management (IPM) into production-ready code Collaborate with our Engineering department to align code design, versioning strategies, and release cycles Essential Qualifications Master's degree and / or PhD or equivalent in informatics or life sciences (or bachelor's degree with 5+ years relevant industry experience) Deep knowledge of R programming and package development Proven experience managing dependencies and ensuring reproducibility in R production environments Strong background in version control systems and CI/CD implementation History of successful collaboration with IT teams on data science workflows Proficiency with Windows and/or Linux environments Experience with GIS systems and spatial data analysis Exceptional problem-solving abilities and adaptability Leadership experience with strong communication skills Structured approach to quantitative challenges Comfort working in a dynamic startup environment Qualifications Microsoft Azure experience, particularly R integration Application containerization knowledge (Docker, etc.) Familiarity with Python, JavaScript, C++, bash, or other languages Web application development experience (React, .NET) Background in data security and IP protection workflows Knowledge of environmental sustainability concepts (carbon footprinting, lifecycle analysis, environmental modeling) Experience in agricultural or land management sectors with a background specifically in Integrated Pest Management (IPM) If you are based in the UK and meet the criteria listed then apply now! The Morris Sinclair team will give you a call.
10/10/2025
Full time
Remote Role Central London Office This is a fully remote role but you MUST be UK based and not require a visa to work. Lead R Data Science Engineer - Integrated Pest Management (IPM) Research & Solutions The Organisation Our client develops cutting-edge navigator software for the global agricultural sector, helping farmers transition toward more sustainable practices through science-backed analytics. Their software provides direct access to advanced sustainability models and insights. Their Sustainability division consists of specialised Research Software Engineers who transform scientific findings into practical models for farmers and land managers, enabling them to understand their systems better and build more sustainable, profitable operations. Position Overview We're seeking an experienced Data Engineer to join our client's Sustainability team as a lead technical specialist in our R-focused Research Software Engineering group to specialise particularly in Integrated Pest Management. You'll create and maintain the technical infrastructure that enables our sustainability experts and data scientists to develop innovative agricultural sustainability solutions to solve global issues in Integrated Pest Management (IPM). Core Functions Lead technical best practices across R package design, code architecture, documentation, and dependency management Establish and oversee versioning and CI/CD systems to enhance team workflows Guide team members in code architecture, development standards, and deployment processes Serve as the technical authority for computationally demanding tasks, especially spatial analytics and GIS-based product development Implement scientific research findings around Integrated Pest Management (IPM) into production-ready code Collaborate with our Engineering department to align code design, versioning strategies, and release cycles Essential Qualifications Master's degree and / or PhD or equivalent in informatics or life sciences (or bachelor's degree with 5+ years relevant industry experience) Deep knowledge of R programming and package development Proven experience managing dependencies and ensuring reproducibility in R production environments Strong background in version control systems and CI/CD implementation History of successful collaboration with IT teams on data science workflows Proficiency with Windows and/or Linux environments Experience with GIS systems and spatial data analysis Exceptional problem-solving abilities and adaptability Leadership experience with strong communication skills Structured approach to quantitative challenges Comfort working in a dynamic startup environment Qualifications Microsoft Azure experience, particularly R integration Application containerization knowledge (Docker, etc.) Familiarity with Python, JavaScript, C++, bash, or other languages Web application development experience (React, .NET) Background in data security and IP protection workflows Knowledge of environmental sustainability concepts (carbon footprinting, lifecycle analysis, environmental modeling) Experience in agricultural or land management sectors with a background specifically in Integrated Pest Management (IPM) If you are based in the UK and meet the criteria listed then apply now! The Morris Sinclair team will give you a call.
Welcome to ASK BOSCO , thanks for stopping by Let s pause for a second. Before we talk perks, equity, or growth stats, let s flip the script. This isn t about us. Not yet. This is about you: • What s driving your search right now, what s prompting you to take the next big step in your career? • Are you looking for a role where you can lead a high-performing team, shape how technology is applied, and make a direct impact on growth and customer success? • Do you want to work in a fast-paced, idea driven environment where your voice matters, but delivery, stability, and scalability always come first? Hold onto those thoughts. Now let us introduce you to something special, a chance to join us as VP of Engineering at ASK BOSCO as we build the foundations for our next phase of hyper-growth. By the end, if it doesn t feel like the right fit, no worries. But if you feel that spark, the same one we ve got, this could be the start of something extraordinary. The Role at a Glance: VP of Engineering (Python) Hybrid Leeds HQ, 2 Days per Week £120,000 + Equity Potential Plus Benefits: 4-day week, 23 days annual leave + bank holidays, health insurance, retail & leisure perks, electric car scheme Values & Culture: Outstanding Company to Work For 2024 Company: AI-powered marketing analytics platform Pedigree: Visionary Founder. Backed by renowned tech entrepreneurs, including co-founder of SkyScanner. Profits with Purpose 10% of profits donated to 1moreChild orphanage annually Markets: Marketing & eCommerce Agencies, eCommerce retailers Your Expertise: You re a proven engineering leader with deep experience in building, scaling, and managing cross-functional tech teams: data engineers, data scientists, data analysts, and developers. You ve led teams through transformational growth, delivering stable, scalable SaaS products that retain and delight customers. You understand what it takes to grow a business from early-stage traction to a large-scale, enterprise-grade platform, and you re ready to lay the technical foundations for our next phase of hyper-growth. You also bring strong experience managing infrastructure partners, confidently navigating and shaping these critical relationships. This isn t a back-seat role. You ll be hands-on where it counts, partnering with the Chief Product Officer to drive delivery, scalability, and long-term success. You ll guide senior stakeholders with clear, data-driven insights, helping keep the roadmap on track in a fast-moving, idea-driven environment. What You ll Be Driving: • Drive technical execution: Deliver and enhance our architecture, infrastructure, and product roadmap to ensure scalable growth and high-performing solutions. • Lead the team: Mentor and grow data engineers, scientists, analysts, and developers to deliver a high-performing, collaborative culture. • Ensure delivery & stability: Make sure features are delivered on time, scalable, and reliable, supporting long-term customer retention. • Manage key relationships: Own the infrastructure partner relationship to guarantee uptime, performance, and security. • Partner with the Chief Product Officer: Align on roadmap priorities, balancing strategic vision with day-to-day execution. • Drive enterprise-grade excellence: Embed best-in-class engineering practices agile, CI/CD, DevOps, security-first design across teams. • Champion scalability: Build products and systems that can grow globally and support tens of thousands of customers. What You ll Bring: • Experience as VP of Engineering, CTO, or senior technical leader in a high-growth or Series A-stage company. • Solid-Strong Python development skills • Proven ability to scale cross-functional teams: data engineering, data science, analytics, and development. • Hands-on experience delivering stable, scalable SaaS products with measurable customer impact. • Experience managing infrastructure partners and external technical relationships. • Confident and polite stakeholder management, able to challenge senior leaders while keeping delivery on track. • Track record of leading transformational growth, scaling teams and products successfully. • Excellent communication - bridging tech, product, and commercial discussions seamlessly. • Customer-first mindset - building products that retain and delight users. This is a role for someone who s been there, done it, and is ready to do it again with more ownership, autonomy, and impact than ever before in a fast-paced, high-growth environment. Inclusive Culture At ASK BOSCO , everybody is invited with open arms. We embrace diversity in all forms race, gender, age, sexual orientation, disability, and beyond. Our mission is stronger when everyone can bring their authentic selves to work. Can you see yourself building the tech engine that drives our next phase of hyper-growth? If high-impact, high-growth, and hands-on leadership excites you, let s make it happen. Apply now and let s talk. P.S. Did we have you at the four-day week? Application notice We take your privacy seriously. As you might expect you may be contacted by email, text or telephone. Your data is processed by our talent partner RR (Recruitment Revolution) on the basis of their legitimate interests in fulfilling the recruitment process. Please refer to their Data Privacy Policy & Notice on their website for further details.
10/10/2025
Full time
Welcome to ASK BOSCO , thanks for stopping by Let s pause for a second. Before we talk perks, equity, or growth stats, let s flip the script. This isn t about us. Not yet. This is about you: • What s driving your search right now, what s prompting you to take the next big step in your career? • Are you looking for a role where you can lead a high-performing team, shape how technology is applied, and make a direct impact on growth and customer success? • Do you want to work in a fast-paced, idea driven environment where your voice matters, but delivery, stability, and scalability always come first? Hold onto those thoughts. Now let us introduce you to something special, a chance to join us as VP of Engineering at ASK BOSCO as we build the foundations for our next phase of hyper-growth. By the end, if it doesn t feel like the right fit, no worries. But if you feel that spark, the same one we ve got, this could be the start of something extraordinary. The Role at a Glance: VP of Engineering (Python) Hybrid Leeds HQ, 2 Days per Week £120,000 + Equity Potential Plus Benefits: 4-day week, 23 days annual leave + bank holidays, health insurance, retail & leisure perks, electric car scheme Values & Culture: Outstanding Company to Work For 2024 Company: AI-powered marketing analytics platform Pedigree: Visionary Founder. Backed by renowned tech entrepreneurs, including co-founder of SkyScanner. Profits with Purpose 10% of profits donated to 1moreChild orphanage annually Markets: Marketing & eCommerce Agencies, eCommerce retailers Your Expertise: You re a proven engineering leader with deep experience in building, scaling, and managing cross-functional tech teams: data engineers, data scientists, data analysts, and developers. You ve led teams through transformational growth, delivering stable, scalable SaaS products that retain and delight customers. You understand what it takes to grow a business from early-stage traction to a large-scale, enterprise-grade platform, and you re ready to lay the technical foundations for our next phase of hyper-growth. You also bring strong experience managing infrastructure partners, confidently navigating and shaping these critical relationships. This isn t a back-seat role. You ll be hands-on where it counts, partnering with the Chief Product Officer to drive delivery, scalability, and long-term success. You ll guide senior stakeholders with clear, data-driven insights, helping keep the roadmap on track in a fast-moving, idea-driven environment. What You ll Be Driving: • Drive technical execution: Deliver and enhance our architecture, infrastructure, and product roadmap to ensure scalable growth and high-performing solutions. • Lead the team: Mentor and grow data engineers, scientists, analysts, and developers to deliver a high-performing, collaborative culture. • Ensure delivery & stability: Make sure features are delivered on time, scalable, and reliable, supporting long-term customer retention. • Manage key relationships: Own the infrastructure partner relationship to guarantee uptime, performance, and security. • Partner with the Chief Product Officer: Align on roadmap priorities, balancing strategic vision with day-to-day execution. • Drive enterprise-grade excellence: Embed best-in-class engineering practices agile, CI/CD, DevOps, security-first design across teams. • Champion scalability: Build products and systems that can grow globally and support tens of thousands of customers. What You ll Bring: • Experience as VP of Engineering, CTO, or senior technical leader in a high-growth or Series A-stage company. • Solid-Strong Python development skills • Proven ability to scale cross-functional teams: data engineering, data science, analytics, and development. • Hands-on experience delivering stable, scalable SaaS products with measurable customer impact. • Experience managing infrastructure partners and external technical relationships. • Confident and polite stakeholder management, able to challenge senior leaders while keeping delivery on track. • Track record of leading transformational growth, scaling teams and products successfully. • Excellent communication - bridging tech, product, and commercial discussions seamlessly. • Customer-first mindset - building products that retain and delight users. This is a role for someone who s been there, done it, and is ready to do it again with more ownership, autonomy, and impact than ever before in a fast-paced, high-growth environment. Inclusive Culture At ASK BOSCO , everybody is invited with open arms. We embrace diversity in all forms race, gender, age, sexual orientation, disability, and beyond. Our mission is stronger when everyone can bring their authentic selves to work. Can you see yourself building the tech engine that drives our next phase of hyper-growth? If high-impact, high-growth, and hands-on leadership excites you, let s make it happen. Apply now and let s talk. P.S. Did we have you at the four-day week? Application notice We take your privacy seriously. As you might expect you may be contacted by email, text or telephone. Your data is processed by our talent partner RR (Recruitment Revolution) on the basis of their legitimate interests in fulfilling the recruitment process. Please refer to their Data Privacy Policy & Notice on their website for further details.
DV Cleared Data Engineers Wanted - London - AWS or Azure - Senior / Principal We're supporting a leading global consultancy with the expansion of their secure data engineering team, and we're looking for DV Cleared Data Engineers to join major projects in London. If you hold active DV clearance and want to work on cutting-edge, mission-critical programmes in a highly collaborative technical environment, this is an excellent opportunity. What You'll Be Doing Designing and delivering secure, high-performance data pipelines and analytics platforms Working across AWS or Azure environments, building scalable, reliable data solutions Collaborating with cross-functional teams including engineers, data scientists, and architects Playing a hands-on role in end-to-end solution design, delivery, and optimisation Contributing to major national infrastructure and security programmes with real impact What We're Looking For Active DV clearance (essential) Strong background in data engineering, ETL, and data pipeline development Experience with AWS or Azure cloud technologies Excellent coding skills in Python, SQL, or Scala Understanding of data warehousing, modelling, and streaming technologies Confident working in agile, fast-paced technical teams Locations London - (Hybrid model - typically 3 days per week on site) Salary range £65,000 - £105,000 + bonus + benefits Why Apply Work on secure, high-impact national projects with real purpose Join a consultancy with strong growth and technical innovation Excellent benefits, bonuses, and structured career progression Quick process - interview next week Interested? If you're a DV Cleared Data Engineer ready for your next challenge, apply directly or message me in confidence.
10/10/2025
Full time
DV Cleared Data Engineers Wanted - London - AWS or Azure - Senior / Principal We're supporting a leading global consultancy with the expansion of their secure data engineering team, and we're looking for DV Cleared Data Engineers to join major projects in London. If you hold active DV clearance and want to work on cutting-edge, mission-critical programmes in a highly collaborative technical environment, this is an excellent opportunity. What You'll Be Doing Designing and delivering secure, high-performance data pipelines and analytics platforms Working across AWS or Azure environments, building scalable, reliable data solutions Collaborating with cross-functional teams including engineers, data scientists, and architects Playing a hands-on role in end-to-end solution design, delivery, and optimisation Contributing to major national infrastructure and security programmes with real impact What We're Looking For Active DV clearance (essential) Strong background in data engineering, ETL, and data pipeline development Experience with AWS or Azure cloud technologies Excellent coding skills in Python, SQL, or Scala Understanding of data warehousing, modelling, and streaming technologies Confident working in agile, fast-paced technical teams Locations London - (Hybrid model - typically 3 days per week on site) Salary range £65,000 - £105,000 + bonus + benefits Why Apply Work on secure, high-impact national projects with real purpose Join a consultancy with strong growth and technical innovation Excellent benefits, bonuses, and structured career progression Quick process - interview next week Interested? If you're a DV Cleared Data Engineer ready for your next challenge, apply directly or message me in confidence.
Our client at very well known Retail Giant is currently looking to hire a Senior/Lead Technical Engineer (Data/ML) based from their offices in London. As the Senior/Lead Tech Engineer/Manager (Data/ML) you will be part of build a small team and mentor during the build phase along with the Engineering Manager. Job Title: Senior/Lead Tech Eng/Manager (Data/ML) Location: London / Hybrid - Once a Week (Thursday) in London Duration: 6 Months Day Rate: £550 to £600prd (Inside IR35 - Umbrella) This is a greenfield based project with crossover from another tech team conducting a similar model. Interaction with Key Stakeholders and like minded Tech Teams is essential. Working alongside the Data Scientist and Data Architect Experience at a Tech Lead / Senior Engineering Level Mentoring / Team Leading experience - REQUIRED/Demonstrable on CV (Full Support from Engineering Manager is also available) Hands on development/engineering background Machine Learning or Data Background Technical Experience: PySpark, Python, SQL, Jupiter Cloud: AWS, Azure (Cloud Environment) - Moving towards Azure Nice to Have: Astro / Airflow, Notebook Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason , please let us know when you apply or talk to the recruiters directly so we can support you.
10/10/2025
Full time
Our client at very well known Retail Giant is currently looking to hire a Senior/Lead Technical Engineer (Data/ML) based from their offices in London. As the Senior/Lead Tech Engineer/Manager (Data/ML) you will be part of build a small team and mentor during the build phase along with the Engineering Manager. Job Title: Senior/Lead Tech Eng/Manager (Data/ML) Location: London / Hybrid - Once a Week (Thursday) in London Duration: 6 Months Day Rate: £550 to £600prd (Inside IR35 - Umbrella) This is a greenfield based project with crossover from another tech team conducting a similar model. Interaction with Key Stakeholders and like minded Tech Teams is essential. Working alongside the Data Scientist and Data Architect Experience at a Tech Lead / Senior Engineering Level Mentoring / Team Leading experience - REQUIRED/Demonstrable on CV (Full Support from Engineering Manager is also available) Hands on development/engineering background Machine Learning or Data Background Technical Experience: PySpark, Python, SQL, Jupiter Cloud: AWS, Azure (Cloud Environment) - Moving towards Azure Nice to Have: Astro / Airflow, Notebook Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason , please let us know when you apply or talk to the recruiters directly so we can support you.
Fully Remote Very Competitive Salary and Share Scheme Agricultural Technology specialising in Integrated Pest Management (IPM) Remote Role - Central London Office This is a fully remote role but you MUST be UK based and not require a visa to work. Lead R Data Science Engineer - Integrated Pest Management (IPM) Research & Solutions The Organisation Our client develops cutting-edge navigator software for the global agricultural sector, helping farmers transition toward more sustainable practices through science-backed analytics. Their software provides direct access to advanced sustainability models and insights. Their Sustainability division consists of specialised Research Software Engineers who transform scientific findings into practical models for farmers and land managers, enabling them to understand their systems better and build more sustainable, profitable operations. Position Overview We're seeking an experienced Data Engineer to join our client's Sustainability team as a lead technical specialist in our R-focused Research Software Engineering group to specialise particularly in Integrated Pest Management. You'll create and maintain the technical infrastructure that enables our sustainability experts and data scientists to develop innovative agricultural sustainability solutions to solve global issues in Integrated Pest Management (IPM). Core Functions Lead technical best practices across R package design, code architecture, documentation, and dependency management Establish and oversee versioning and CI/CD systems to enhance team workflows Guide team members in code architecture, development standards, and deployment processes Serve as the technical authority for computationally demanding tasks, especially spatial analytics and GIS-based product development Implement scientific research findings around Integrated Pest Management (IPM) into production-ready code Collaborate with our Engineering department to align code design, versioning strategies, and release cycles Essential Qualifications Master's degree and / or PhD or equivalent in informatics or life sciences (or bachelor's degree with 5+ years relevant industry experience) Deep knowledge of R programming and package development Proven experience managing dependencies and ensuring reproducibility in R production environments Strong background in version control systems and CI/CD implementation History of successful collaboration with IT teams on data science workflows Proficiency with Windows and/or Linux environments Experience with GIS systems and spatial data analysis Exceptional problem-solving abilities and adaptability Leadership experience with strong communication skills Structured approach to quantitative challenges Comfort working in a dynamic startup environment Qualifications Microsoft Azure experience, particularly R integration Application containerization knowledge (Docker, etc.) Familiarity with Python, JavaScript, C++, bash, or other languages Web application development experience (React, .NET) Background in data security and IP protection workflows Knowledge of environmental sustainability concepts (carbon footprinting, lifecycle analysis, environmental modeling) Experience in agricultural or land management sectors with a background specifically in Integrated Pest Management (IPM) If you are based in the UK and meet the criteria listed then apply now! The Morris Sinclair team will give you a call.
10/10/2025
Full time
Fully Remote Very Competitive Salary and Share Scheme Agricultural Technology specialising in Integrated Pest Management (IPM) Remote Role - Central London Office This is a fully remote role but you MUST be UK based and not require a visa to work. Lead R Data Science Engineer - Integrated Pest Management (IPM) Research & Solutions The Organisation Our client develops cutting-edge navigator software for the global agricultural sector, helping farmers transition toward more sustainable practices through science-backed analytics. Their software provides direct access to advanced sustainability models and insights. Their Sustainability division consists of specialised Research Software Engineers who transform scientific findings into practical models for farmers and land managers, enabling them to understand their systems better and build more sustainable, profitable operations. Position Overview We're seeking an experienced Data Engineer to join our client's Sustainability team as a lead technical specialist in our R-focused Research Software Engineering group to specialise particularly in Integrated Pest Management. You'll create and maintain the technical infrastructure that enables our sustainability experts and data scientists to develop innovative agricultural sustainability solutions to solve global issues in Integrated Pest Management (IPM). Core Functions Lead technical best practices across R package design, code architecture, documentation, and dependency management Establish and oversee versioning and CI/CD systems to enhance team workflows Guide team members in code architecture, development standards, and deployment processes Serve as the technical authority for computationally demanding tasks, especially spatial analytics and GIS-based product development Implement scientific research findings around Integrated Pest Management (IPM) into production-ready code Collaborate with our Engineering department to align code design, versioning strategies, and release cycles Essential Qualifications Master's degree and / or PhD or equivalent in informatics or life sciences (or bachelor's degree with 5+ years relevant industry experience) Deep knowledge of R programming and package development Proven experience managing dependencies and ensuring reproducibility in R production environments Strong background in version control systems and CI/CD implementation History of successful collaboration with IT teams on data science workflows Proficiency with Windows and/or Linux environments Experience with GIS systems and spatial data analysis Exceptional problem-solving abilities and adaptability Leadership experience with strong communication skills Structured approach to quantitative challenges Comfort working in a dynamic startup environment Qualifications Microsoft Azure experience, particularly R integration Application containerization knowledge (Docker, etc.) Familiarity with Python, JavaScript, C++, bash, or other languages Web application development experience (React, .NET) Background in data security and IP protection workflows Knowledge of environmental sustainability concepts (carbon footprinting, lifecycle analysis, environmental modeling) Experience in agricultural or land management sectors with a background specifically in Integrated Pest Management (IPM) If you are based in the UK and meet the criteria listed then apply now! The Morris Sinclair team will give you a call.
Role:- Senior Frontend Engineer - 3D Visualization (React, WebGL, Python) Duration: 3 Months - Possible extension Location : UK- Remote Key Responsibilities: Develop a high-performance 3D brain visualization tool in the browser using WebGL and ThreeJS . Build and maintain React components to enable user interaction with different types of media (images, video, text). Integrate backend Python APIs and model outputs to drive visualizations based on real-time or precomputed neural data. Implement intuitive and responsive UI/UX for researchers, scientists, and public audiences. Work closely with design and research teams to iterate based on feedback. Ensure smooth, low-latency performance across browsers and platforms. Essential Skills: Strong experience with WebGL , ThreeJS , or similar 3D graphics frameworks. Proficiency in ReactJS and modern frontend development (HTML/CSS/JavaScript or TypeScript). Solid understanding of Python , particularly in the context of APIs and backend integration. Ability to work independently and drive frontend architecture decisions. Experience building interactive, visual, or media-rich web applications. Desirable (Nice to Have): Experience working with scientific or research-based datasets . Knowledge of data pipelines and structured data processing. Familiarity with performance tuning for high-resolution visualizations in browsers. Exposure to AI/ML workflows, even if not building models directly.
10/10/2025
Full time
Role:- Senior Frontend Engineer - 3D Visualization (React, WebGL, Python) Duration: 3 Months - Possible extension Location : UK- Remote Key Responsibilities: Develop a high-performance 3D brain visualization tool in the browser using WebGL and ThreeJS . Build and maintain React components to enable user interaction with different types of media (images, video, text). Integrate backend Python APIs and model outputs to drive visualizations based on real-time or precomputed neural data. Implement intuitive and responsive UI/UX for researchers, scientists, and public audiences. Work closely with design and research teams to iterate based on feedback. Ensure smooth, low-latency performance across browsers and platforms. Essential Skills: Strong experience with WebGL , ThreeJS , or similar 3D graphics frameworks. Proficiency in ReactJS and modern frontend development (HTML/CSS/JavaScript or TypeScript). Solid understanding of Python , particularly in the context of APIs and backend integration. Ability to work independently and drive frontend architecture decisions. Experience building interactive, visual, or media-rich web applications. Desirable (Nice to Have): Experience working with scientific or research-based datasets . Knowledge of data pipelines and structured data processing. Familiarity with performance tuning for high-resolution visualizations in browsers. Exposure to AI/ML workflows, even if not building models directly.
Data Engineer Location: Remote (with occasional, non-expensed travel to London) Duration: 8 months Active SC Clearance required UMBRELLA ONLY Role Overview: We are seeking two experienced Data Engineers to join the COP project team. You will play a key role in designing, building, and maintaining scalable data infrastructure to support advanced analytics and reporting capabilities. Key Responsibilities: Develop and maintain robust ETL/ELT pipelines Design and optimize data warehouses and data lakes Collaborate with data scientists and analysts to ensure data availability and quality Implement data governance , security , and compliance standards Monitor and troubleshoot data workflows and performance issues Essential Skills & Experience: Proficiency in SQL , Python , or Scala Experience with cloud platforms such as AWS, Azure, or GCP Familiarity with tools like Apache Spark , Kafka , and Airflow Strong understanding of data modelling and architecture Knowledge of CI/CD pipelines and version control systems Additional Information: This role requires active SC clearance . Candidates who are eligible but not yet cleared will not be considered . Travel to London may be required occasionally, but expenses will not be covered. All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!
09/10/2025
Contractor
Data Engineer Location: Remote (with occasional, non-expensed travel to London) Duration: 8 months Active SC Clearance required UMBRELLA ONLY Role Overview: We are seeking two experienced Data Engineers to join the COP project team. You will play a key role in designing, building, and maintaining scalable data infrastructure to support advanced analytics and reporting capabilities. Key Responsibilities: Develop and maintain robust ETL/ELT pipelines Design and optimize data warehouses and data lakes Collaborate with data scientists and analysts to ensure data availability and quality Implement data governance , security , and compliance standards Monitor and troubleshoot data workflows and performance issues Essential Skills & Experience: Proficiency in SQL , Python , or Scala Experience with cloud platforms such as AWS, Azure, or GCP Familiarity with tools like Apache Spark , Kafka , and Airflow Strong understanding of data modelling and architecture Knowledge of CI/CD pipelines and version control systems Additional Information: This role requires active SC clearance . Candidates who are eligible but not yet cleared will not be considered . Travel to London may be required occasionally, but expenses will not be covered. All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!
Data Engineer - GCP £750 - £800 per day 2 days in London We're working with a global healthcare and life sciences leader that's pioneering the use of AI and Machine Learning to develop advanced therapies for both existing and emerging diseases. Their mission is to make personalised treatments faster, more effective, and more accessible - and this role is key to that vision. The team is building cutting-edge data infrastructure to power scientific and ML applications, and they're seeking a Data Engineer with strong experience developing scalable, high-quality data pipelines in the cloud. The Role You'll join a team of data scientists, bioinformaticians, and engineers working at the intersection of healthcare and AI. Your focus will be on designing and maintaining the data pipelines that feed large-scale ML and research workflows. Day-to-day responsibilities include: Building and maintaining data pipelines using Python, SQL, Spark, and Google Cloud technologies (BigQuery, Cloud Storage). Ensuring pipelines are robust, reliable, and optimised for AI/ML use cases. Developing automated tests, documentation, and monitoring for production-grade data systems. Collaborating with scientists and ML engineers to meet evolving data needs. Participating in code reviews, introducing best practices, and continuously improving performance and quality. Tech Stack & Skills Core Skills: Strong experience with Python and SQL in production environments Proven track record developing data pipelines using Spark, BigQuery, and cloud tools (preferably Google Cloud) Familiarity with CI/CD and version control (git, GitHub, DevOps workflows) Experience with unit testing (e.g., pytest) and automated quality checks Understanding of agile software delivery and collaborative development Nice to Have: Experience with bioinformatics or large-scale biological data (e.g., genomics, proteomics) Familiarity with orchestration tools such as Airflow or Google Workflows Experience with containerisation (Docker) Exposure to NLP, unstructured data processing, or vector databases Knowledge of ML and AI-powered data products What You'll Bring Strong problem-solving skills and curiosity about scientific or AI-driven challenges A focus on quality, scalability, and collaboration The ability to work across cross-functional teams and translate complex requirements into robust data workflows
09/10/2025
Full time
Data Engineer - GCP £750 - £800 per day 2 days in London We're working with a global healthcare and life sciences leader that's pioneering the use of AI and Machine Learning to develop advanced therapies for both existing and emerging diseases. Their mission is to make personalised treatments faster, more effective, and more accessible - and this role is key to that vision. The team is building cutting-edge data infrastructure to power scientific and ML applications, and they're seeking a Data Engineer with strong experience developing scalable, high-quality data pipelines in the cloud. The Role You'll join a team of data scientists, bioinformaticians, and engineers working at the intersection of healthcare and AI. Your focus will be on designing and maintaining the data pipelines that feed large-scale ML and research workflows. Day-to-day responsibilities include: Building and maintaining data pipelines using Python, SQL, Spark, and Google Cloud technologies (BigQuery, Cloud Storage). Ensuring pipelines are robust, reliable, and optimised for AI/ML use cases. Developing automated tests, documentation, and monitoring for production-grade data systems. Collaborating with scientists and ML engineers to meet evolving data needs. Participating in code reviews, introducing best practices, and continuously improving performance and quality. Tech Stack & Skills Core Skills: Strong experience with Python and SQL in production environments Proven track record developing data pipelines using Spark, BigQuery, and cloud tools (preferably Google Cloud) Familiarity with CI/CD and version control (git, GitHub, DevOps workflows) Experience with unit testing (e.g., pytest) and automated quality checks Understanding of agile software delivery and collaborative development Nice to Have: Experience with bioinformatics or large-scale biological data (e.g., genomics, proteomics) Familiarity with orchestration tools such as Airflow or Google Workflows Experience with containerisation (Docker) Exposure to NLP, unstructured data processing, or vector databases Knowledge of ML and AI-powered data products What You'll Bring Strong problem-solving skills and curiosity about scientific or AI-driven challenges A focus on quality, scalability, and collaboration The ability to work across cross-functional teams and translate complex requirements into robust data workflows
6-month contract Inside IR35 Up to £800 per day 2-3 days per week in London We're working with a global pharmaceutical company expanding its Responsible AI division. The team are building a next-generation Generative AI platform to accelerate drug discovery and safety evaluation. They're looking for a Backend Software Engineer to help design and develop backend systems supporting large-scale LLM and GenAI workloads. The role will focus on backend architecture, API integration, and automation across data and compute pipelines. What you'll be doing: Build and maintain Python backend systems for GenAI evaluation Integrate LLM components with data and compute infrastructure Deliver clean, well-tested, production-grade code (FastAPI preferred) Collaborate with ML engineers, data scientists, and DevOps teams Participate in agile delivery and CI/CD improvement initiatives Key Skills: Python, FastAPI, Cloud (GCP/AWS), CI/CD, Git/GitHub, automated testing, DevOps fundamentals Ideal for: Engineers with a strong backend foundation and hands-on GenAI or LLM integration experience looking to contribute to applied AI in healthcare.
09/10/2025
Full time
6-month contract Inside IR35 Up to £800 per day 2-3 days per week in London We're working with a global pharmaceutical company expanding its Responsible AI division. The team are building a next-generation Generative AI platform to accelerate drug discovery and safety evaluation. They're looking for a Backend Software Engineer to help design and develop backend systems supporting large-scale LLM and GenAI workloads. The role will focus on backend architecture, API integration, and automation across data and compute pipelines. What you'll be doing: Build and maintain Python backend systems for GenAI evaluation Integrate LLM components with data and compute infrastructure Deliver clean, well-tested, production-grade code (FastAPI preferred) Collaborate with ML engineers, data scientists, and DevOps teams Participate in agile delivery and CI/CD improvement initiatives Key Skills: Python, FastAPI, Cloud (GCP/AWS), CI/CD, Git/GitHub, automated testing, DevOps fundamentals Ideal for: Engineers with a strong backend foundation and hands-on GenAI or LLM integration experience looking to contribute to applied AI in healthcare.
Contract Data Engineer - Google Cloud Scientific Data Research-Focused Organisation London (2-3 days a week onsite) £750 per day (Inside IR35) 6-month contract The Company Harnham is partnering with a leading research and technology organisation that's leveraging data and AI to accelerate scientific innovation. They're looking for an experienced Data Engineer to join on a 6-month contract and help build and optimise data pipelines supporting large-scale scientific and R&D initiatives. The Role You'll be responsible for designing, developing, and maintaining robust data pipelines on Google Cloud. Working closely with other engineers and scientists, you'll ensure the delivery of clean, scalable data solutions that power high-impact research. Key Responsibilities Build and maintain data pipelines using modern tools on Google Cloud, including Python, Spark, SQL, BigQuery, and Cloud Storage. Ensure data pipelines meet the analytical and scientific needs of key applications. Deliver high-quality, production-grade code with testing and documentation. Develop, measure, and monitor key performance metrics across tools and services. Collaborate with technical peers and participate in code reviews to maintain engineering excellence. Work cross-functionally with allied teams to deliver end-to-end, production-ready data solutions. Your Skills and Experience 2+ years of experience as a Data Engineer (or equivalent) with a relevant degree in a computational, numerate, or life sciences field. Strong experience with Google Cloud Platform (GCP). Excellent programming skills in Python and SQL. Experience with Spark and DevOps tools (Terraform, GitHub Actions, etc.). Strong understanding of modern development practices (git/GitHub, CI/CD, agile). Experience with automated testing frameworks such as pytest. Preferred Qualifications Experience working with biological or scientific datasets (e.g. genomics, proteomics, or pharmaceutical data). Knowledge of bioinformatics or large-scale research data. Familiarity with Nextflow, Airflow, or Google Workflows. Understanding of NLP techniques and processing unstructured data. Experience with AI/ML-powered applications and containerised development (Docker). Contract Details Day Rate: £750 (Inside IR35) Location: London - 3 days per week onsite Duration: 6 months (potential to extend) How to Apply If you're a skilled Data Engineer with experience in cloud and scientific data environments, and you're looking for a hands-on contract where your work has real-world impact, apply now or get in touch with Harnham for more details.
09/10/2025
Full time
Contract Data Engineer - Google Cloud Scientific Data Research-Focused Organisation London (2-3 days a week onsite) £750 per day (Inside IR35) 6-month contract The Company Harnham is partnering with a leading research and technology organisation that's leveraging data and AI to accelerate scientific innovation. They're looking for an experienced Data Engineer to join on a 6-month contract and help build and optimise data pipelines supporting large-scale scientific and R&D initiatives. The Role You'll be responsible for designing, developing, and maintaining robust data pipelines on Google Cloud. Working closely with other engineers and scientists, you'll ensure the delivery of clean, scalable data solutions that power high-impact research. Key Responsibilities Build and maintain data pipelines using modern tools on Google Cloud, including Python, Spark, SQL, BigQuery, and Cloud Storage. Ensure data pipelines meet the analytical and scientific needs of key applications. Deliver high-quality, production-grade code with testing and documentation. Develop, measure, and monitor key performance metrics across tools and services. Collaborate with technical peers and participate in code reviews to maintain engineering excellence. Work cross-functionally with allied teams to deliver end-to-end, production-ready data solutions. Your Skills and Experience 2+ years of experience as a Data Engineer (or equivalent) with a relevant degree in a computational, numerate, or life sciences field. Strong experience with Google Cloud Platform (GCP). Excellent programming skills in Python and SQL. Experience with Spark and DevOps tools (Terraform, GitHub Actions, etc.). Strong understanding of modern development practices (git/GitHub, CI/CD, agile). Experience with automated testing frameworks such as pytest. Preferred Qualifications Experience working with biological or scientific datasets (e.g. genomics, proteomics, or pharmaceutical data). Knowledge of bioinformatics or large-scale research data. Familiarity with Nextflow, Airflow, or Google Workflows. Understanding of NLP techniques and processing unstructured data. Experience with AI/ML-powered applications and containerised development (Docker). Contract Details Day Rate: £750 (Inside IR35) Location: London - 3 days per week onsite Duration: 6 months (potential to extend) How to Apply If you're a skilled Data Engineer with experience in cloud and scientific data environments, and you're looking for a hands-on contract where your work has real-world impact, apply now or get in touch with Harnham for more details.
Harnham - Data & Analytics Recruitment
Bristol, Somerset
Senior Full Stack Developer Hybrid (London, Cambridge, or Bristol - 3 days per week) Up to £100,000 + 5% Bonus + Benefits Are you a talented Full Stack Developer looking to work at the forefront of AI and software innovation? We're partnering with a leading international law firm that's building cutting-edge GenAI and LLM-powered solutions - and they're looking for a Full Stack Developer to help shape the next generation of legal technology. This is a unique opportunity to work within a forward-thinking tech team that's reimagining how AI can transform client delivery, knowledge management, and operational excellence across a global firm. Why this role? Work directly with data scientists and AI engineers on enterprise-scale AI and machine learning products. Build production-ready applications that leverage Generative AI and Large Language Models (LLMs) . Hybrid flexibility: 3 days per week in either London, Cambridge, or Bristol , 2 from home. Join an award-winning firm recognised for innovation, inclusion, and career development. What you'll be doing: Designing, developing, and maintaining front-end and back-end components of complex web applications. Collaborating with product owners, designers, and data teams to deliver user-friendly, high-performance tools. Implementing cloud-based solutions and managing DevOps processes for seamless deployment. Working in an agile team , contributing to sprints, backlog refinement, and continuous improvement. Staying up to date with AI/ML and LLM trends to bring innovative ideas into production. Ensuring code quality through testing, documentation, and peer review. ? What we're looking for: 4+ years' experience building enterprise-grade applications. Strong backend skills in Python (FastAPI, Flask) with experience designing APIs and integrating databases (e.g. GraphDB, CosmosDB, SQL). Solid frontend development skills in React, TypeScript/JavaScript, HTML, and CSS . Experience developing scalable, cloud-based solutions - Azure preferred. Understanding of modern development best practices, including agile delivery, CI/CD, and automated testing. Passion for emerging tech and willingness to learn Generative AI and LLM technologies (e.g. OpenAI, Claude). ? Nice-to-haves: Experience working in or with legal tech, consulting, or data-driven environments. Familiarity with UX design principles and the ability to prototype interfaces. Experience managing deployments or infrastructure automation. Package & Benefits: Salary up to £100,000 + 5% annual bonus . Hybrid working - 3 days per week in London, Cambridge, or Bristol office . Private medical insurance, pension contribution, and enhanced family leave.
09/10/2025
Full time
Senior Full Stack Developer Hybrid (London, Cambridge, or Bristol - 3 days per week) Up to £100,000 + 5% Bonus + Benefits Are you a talented Full Stack Developer looking to work at the forefront of AI and software innovation? We're partnering with a leading international law firm that's building cutting-edge GenAI and LLM-powered solutions - and they're looking for a Full Stack Developer to help shape the next generation of legal technology. This is a unique opportunity to work within a forward-thinking tech team that's reimagining how AI can transform client delivery, knowledge management, and operational excellence across a global firm. Why this role? Work directly with data scientists and AI engineers on enterprise-scale AI and machine learning products. Build production-ready applications that leverage Generative AI and Large Language Models (LLMs) . Hybrid flexibility: 3 days per week in either London, Cambridge, or Bristol , 2 from home. Join an award-winning firm recognised for innovation, inclusion, and career development. What you'll be doing: Designing, developing, and maintaining front-end and back-end components of complex web applications. Collaborating with product owners, designers, and data teams to deliver user-friendly, high-performance tools. Implementing cloud-based solutions and managing DevOps processes for seamless deployment. Working in an agile team , contributing to sprints, backlog refinement, and continuous improvement. Staying up to date with AI/ML and LLM trends to bring innovative ideas into production. Ensuring code quality through testing, documentation, and peer review. ? What we're looking for: 4+ years' experience building enterprise-grade applications. Strong backend skills in Python (FastAPI, Flask) with experience designing APIs and integrating databases (e.g. GraphDB, CosmosDB, SQL). Solid frontend development skills in React, TypeScript/JavaScript, HTML, and CSS . Experience developing scalable, cloud-based solutions - Azure preferred. Understanding of modern development best practices, including agile delivery, CI/CD, and automated testing. Passion for emerging tech and willingness to learn Generative AI and LLM technologies (e.g. OpenAI, Claude). ? Nice-to-haves: Experience working in or with legal tech, consulting, or data-driven environments. Familiarity with UX design principles and the ability to prototype interfaces. Experience managing deployments or infrastructure automation. Package & Benefits: Salary up to £100,000 + 5% annual bonus . Hybrid working - 3 days per week in London, Cambridge, or Bristol office . Private medical insurance, pension contribution, and enhanced family leave.
Harnham - Data & Analytics Recruitment
Cambridge, Cambridgeshire
Senior Full Stack Developer Hybrid (London, Cambridge, or Bristol - 3 days per week) Up to £100,000 + 5% Bonus + Benefits Are you a talented Full Stack Developer looking to work at the forefront of AI and software innovation? We're partnering with a leading international law firm that's building cutting-edge GenAI and LLM-powered solutions - and they're looking for a Full Stack Developer to help shape the next generation of legal technology. This is a unique opportunity to work within a forward-thinking tech team that's reimagining how AI can transform client delivery, knowledge management, and operational excellence across a global firm. Why this role? Work directly with data scientists and AI engineers on enterprise-scale AI and machine learning products. Build production-ready applications that leverage Generative AI and Large Language Models (LLMs) . Hybrid flexibility: 3 days per week in either London, Cambridge, or Bristol , 2 from home. Join an award-winning firm recognised for innovation, inclusion, and career development. What you'll be doing: Designing, developing, and maintaining front-end and back-end components of complex web applications. Collaborating with product owners, designers, and data teams to deliver user-friendly, high-performance tools. Implementing cloud-based solutions and managing DevOps processes for seamless deployment. Working in an agile team , contributing to sprints, backlog refinement, and continuous improvement. Staying up to date with AI/ML and LLM trends to bring innovative ideas into production. Ensuring code quality through testing, documentation, and peer review. ? What we're looking for: 4+ years' experience building enterprise-grade applications. Strong backend skills in Python (FastAPI, Flask) with experience designing APIs and integrating databases (e.g. GraphDB, CosmosDB, SQL). Solid frontend development skills in React, TypeScript/JavaScript, HTML, and CSS . Experience developing scalable, cloud-based solutions - Azure preferred. Understanding of modern development best practices, including agile delivery, CI/CD, and automated testing. Passion for emerging tech and willingness to learn Generative AI and LLM technologies (e.g. OpenAI, Claude). ? Nice-to-haves: Experience working in or with legal tech, consulting, or data-driven environments. Familiarity with UX design principles and the ability to prototype interfaces. Experience managing deployments or infrastructure automation. Package & Benefits: Salary up to £100,000 + 5% annual bonus . Hybrid working - 3 days per week in London, Cambridge, or Bristol office . Private medical insurance, pension contribution, and enhanced family leave.
09/10/2025
Full time
Senior Full Stack Developer Hybrid (London, Cambridge, or Bristol - 3 days per week) Up to £100,000 + 5% Bonus + Benefits Are you a talented Full Stack Developer looking to work at the forefront of AI and software innovation? We're partnering with a leading international law firm that's building cutting-edge GenAI and LLM-powered solutions - and they're looking for a Full Stack Developer to help shape the next generation of legal technology. This is a unique opportunity to work within a forward-thinking tech team that's reimagining how AI can transform client delivery, knowledge management, and operational excellence across a global firm. Why this role? Work directly with data scientists and AI engineers on enterprise-scale AI and machine learning products. Build production-ready applications that leverage Generative AI and Large Language Models (LLMs) . Hybrid flexibility: 3 days per week in either London, Cambridge, or Bristol , 2 from home. Join an award-winning firm recognised for innovation, inclusion, and career development. What you'll be doing: Designing, developing, and maintaining front-end and back-end components of complex web applications. Collaborating with product owners, designers, and data teams to deliver user-friendly, high-performance tools. Implementing cloud-based solutions and managing DevOps processes for seamless deployment. Working in an agile team , contributing to sprints, backlog refinement, and continuous improvement. Staying up to date with AI/ML and LLM trends to bring innovative ideas into production. Ensuring code quality through testing, documentation, and peer review. ? What we're looking for: 4+ years' experience building enterprise-grade applications. Strong backend skills in Python (FastAPI, Flask) with experience designing APIs and integrating databases (e.g. GraphDB, CosmosDB, SQL). Solid frontend development skills in React, TypeScript/JavaScript, HTML, and CSS . Experience developing scalable, cloud-based solutions - Azure preferred. Understanding of modern development best practices, including agile delivery, CI/CD, and automated testing. Passion for emerging tech and willingness to learn Generative AI and LLM technologies (e.g. OpenAI, Claude). ? Nice-to-haves: Experience working in or with legal tech, consulting, or data-driven environments. Familiarity with UX design principles and the ability to prototype interfaces. Experience managing deployments or infrastructure automation. Package & Benefits: Salary up to £100,000 + 5% annual bonus . Hybrid working - 3 days per week in London, Cambridge, or Bristol office . Private medical insurance, pension contribution, and enhanced family leave.
Senior Full Stack Developer Hybrid (London, Cambridge, or Bristol - 3 days per week) Up to £100,000 + 5% Bonus + Benefits Are you a talented Full Stack Developer looking to work at the forefront of AI and software innovation? We're partnering with a leading international law firm that's building cutting-edge GenAI and LLM-powered solutions - and they're looking for a Full Stack Developer to help shape the next generation of legal technology. This is a unique opportunity to work within a forward-thinking tech team that's reimagining how AI can transform client delivery, knowledge management, and operational excellence across a global firm. Why this role? Work directly with data scientists and AI engineers on enterprise-scale AI and machine learning products. Build production-ready applications that leverage Generative AI and Large Language Models (LLMs) . Hybrid flexibility: 3 days per week in either London, Cambridge, or Bristol , 2 from home. Join an award-winning firm recognised for innovation, inclusion, and career development. ? What you'll be doing: Designing, developing, and maintaining front-end and back-end components of complex web applications. Collaborating with product owners, designers, and data teams to deliver user-friendly, high-performance tools. Implementing cloud-based solutions and managing DevOps processes for seamless deployment. Working in an agile team , contributing to sprints, backlog refinement, and continuous improvement. Staying up to date with AI/ML and LLM trends to bring innovative ideas into production. Ensuring code quality through testing, documentation, and peer review. ? What we're looking for: 4+ years' experience building enterprise-grade applications. Strong backend skills in Python (FastAPI, Flask) with experience designing APIs and integrating databases (e.g. GraphDB, CosmosDB, SQL). Solid frontend development skills in React, TypeScript/JavaScript, HTML, and CSS . Experience developing scalable, cloud-based solutions - Azure preferred. Understanding of modern development best practices, including agile delivery, CI/CD, and automated testing. Passion for emerging tech and willingness to learn Generative AI and LLM technologies (e.g. OpenAI) ? Nice-to-haves: Experience working in or with legal tech, consulting, or data-driven environments. Familiarity with UX design principles and the ability to prototype interfaces. Experience managing deployments or infrastructure automation. Package & Benefits: Salary up to £100,000 + 5% annual bonus . Hybrid working - 3 days per week in London, Cambridge, or Bristol office . Private medical insurance, pension contribution, and enhanced family leave.
09/10/2025
Full time
Senior Full Stack Developer Hybrid (London, Cambridge, or Bristol - 3 days per week) Up to £100,000 + 5% Bonus + Benefits Are you a talented Full Stack Developer looking to work at the forefront of AI and software innovation? We're partnering with a leading international law firm that's building cutting-edge GenAI and LLM-powered solutions - and they're looking for a Full Stack Developer to help shape the next generation of legal technology. This is a unique opportunity to work within a forward-thinking tech team that's reimagining how AI can transform client delivery, knowledge management, and operational excellence across a global firm. Why this role? Work directly with data scientists and AI engineers on enterprise-scale AI and machine learning products. Build production-ready applications that leverage Generative AI and Large Language Models (LLMs) . Hybrid flexibility: 3 days per week in either London, Cambridge, or Bristol , 2 from home. Join an award-winning firm recognised for innovation, inclusion, and career development. ? What you'll be doing: Designing, developing, and maintaining front-end and back-end components of complex web applications. Collaborating with product owners, designers, and data teams to deliver user-friendly, high-performance tools. Implementing cloud-based solutions and managing DevOps processes for seamless deployment. Working in an agile team , contributing to sprints, backlog refinement, and continuous improvement. Staying up to date with AI/ML and LLM trends to bring innovative ideas into production. Ensuring code quality through testing, documentation, and peer review. ? What we're looking for: 4+ years' experience building enterprise-grade applications. Strong backend skills in Python (FastAPI, Flask) with experience designing APIs and integrating databases (e.g. GraphDB, CosmosDB, SQL). Solid frontend development skills in React, TypeScript/JavaScript, HTML, and CSS . Experience developing scalable, cloud-based solutions - Azure preferred. Understanding of modern development best practices, including agile delivery, CI/CD, and automated testing. Passion for emerging tech and willingness to learn Generative AI and LLM technologies (e.g. OpenAI) ? Nice-to-haves: Experience working in or with legal tech, consulting, or data-driven environments. Familiarity with UX design principles and the ability to prototype interfaces. Experience managing deployments or infrastructure automation. Package & Benefits: Salary up to £100,000 + 5% annual bonus . Hybrid working - 3 days per week in London, Cambridge, or Bristol office . Private medical insurance, pension contribution, and enhanced family leave.
I'm lookout for a Senior Software Developer who enjoys wrangling geospatial data, shaping technical direction, and mentoring junior devs without making them cry (ideally). You'll be helping design, build, and scale systems that literally protect people and businesses from chaos. You won't need to wear a cape-but if you have one, that's fine too.You'll also be a key part of aligning tech wizardry with real-world results, working with data scientists, product folks, and the occasional confused stakeholder who doesn't understand how time zones work.Responsibilities: Lead the design and development of complex features and systems. Bonus points for building things that still work after three updates and one pivot. Make architectural decisions that avoid the phrase "well, it worked on my machine." See projects through from "tiny scribble on a whiteboard" to "live in production and surprisingly stable." Mentor other engineers like a wise coding sensei (but with fewer riddles). Collaborate with product, operations, and data teams without resorting to interpretive dance. Refactor legacy code without crying. Or while crying-we don't judge. Monitor systems like a hawk with a dashboard. Link engineering strategy to business goals (while avoiding buzzword bingo). Represent engineering in meetings where someone inevitably says "let's just make it AI." Champion sensible things like accessibility, performance, and test coverage (we know, radical). Ideal You (We Know You're Out There): You probably have a Computer Science degree, or you figured it out the hard way. You've got significant commercial development experience, ideally not all in the same week. You know your way around Git and probably have opinions about commit messages. You're fluent in Python and don't break out in hives at the sight of legacy code. You understand the importance of CI, testing, and not YOLOing into production. You've worked the full software lifecycle and lived to tell the tale. You can read and process geospatial data without rage-quitting. You've used AWS and serverless tools, and ideally haven't cursed too loudly while doing so. You're familiar with Docker, Anaconda/Conda, and ideally Node.js (or at least know what they are). You like solving real-world problems using real-world tools (and not just fiddling with yet another to-do app). Eligo Recruitment is acting as an Employment Business in relation to this vacancy. Eligo is proud to be an equal opportunity employer dedicated to fostering diversity and creating an inclusive and equitable environment for employees and applicants. We actively celebrate and embrace differences, including but not limited to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran status, and disability. We encourage applications from individuals of all backgrounds and experiences and all will be considered for employment without discrimination. At Eligo Recruitment diversity, equity and inclusion is integral to achieving our mission to ensure every workplace reflects the richness of human diversity.
09/10/2025
Full time
I'm lookout for a Senior Software Developer who enjoys wrangling geospatial data, shaping technical direction, and mentoring junior devs without making them cry (ideally). You'll be helping design, build, and scale systems that literally protect people and businesses from chaos. You won't need to wear a cape-but if you have one, that's fine too.You'll also be a key part of aligning tech wizardry with real-world results, working with data scientists, product folks, and the occasional confused stakeholder who doesn't understand how time zones work.Responsibilities: Lead the design and development of complex features and systems. Bonus points for building things that still work after three updates and one pivot. Make architectural decisions that avoid the phrase "well, it worked on my machine." See projects through from "tiny scribble on a whiteboard" to "live in production and surprisingly stable." Mentor other engineers like a wise coding sensei (but with fewer riddles). Collaborate with product, operations, and data teams without resorting to interpretive dance. Refactor legacy code without crying. Or while crying-we don't judge. Monitor systems like a hawk with a dashboard. Link engineering strategy to business goals (while avoiding buzzword bingo). Represent engineering in meetings where someone inevitably says "let's just make it AI." Champion sensible things like accessibility, performance, and test coverage (we know, radical). Ideal You (We Know You're Out There): You probably have a Computer Science degree, or you figured it out the hard way. You've got significant commercial development experience, ideally not all in the same week. You know your way around Git and probably have opinions about commit messages. You're fluent in Python and don't break out in hives at the sight of legacy code. You understand the importance of CI, testing, and not YOLOing into production. You've worked the full software lifecycle and lived to tell the tale. You can read and process geospatial data without rage-quitting. You've used AWS and serverless tools, and ideally haven't cursed too loudly while doing so. You're familiar with Docker, Anaconda/Conda, and ideally Node.js (or at least know what they are). You like solving real-world problems using real-world tools (and not just fiddling with yet another to-do app). Eligo Recruitment is acting as an Employment Business in relation to this vacancy. Eligo is proud to be an equal opportunity employer dedicated to fostering diversity and creating an inclusive and equitable environment for employees and applicants. We actively celebrate and embrace differences, including but not limited to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran status, and disability. We encourage applications from individuals of all backgrounds and experiences and all will be considered for employment without discrimination. At Eligo Recruitment diversity, equity and inclusion is integral to achieving our mission to ensure every workplace reflects the richness of human diversity.
Senior Data Scientist (Optimisation) Hybrid (2/3 office split) London £80k-£90k + Share options + Additional benefits The business This is a fast-growing AI technology company of around 15 people, building cutting-edge predictive and optimisation solutions for real-world operational challenges. The data team you'll be joining is at the centre of their platform which powers smarter workforce planning, scheduling and supply chain decisions for the clients they support. The role They're looking for a Senior Data Scientist with a passion for optimisation and operations research to help take the platform to the next level. There is a strong focus on mathematical modelling and utilising ML and AI technologies to help further scale systems. Key responsibilities Design and improve optimisation algorithms for staff scheduling and warehouse workforce planning Develop mathematical models and optimisers (beyond standard ML approaches) Evolve the existing optimiser into a scalable, production-ready system Write production-quality Python code and collaborate closely with engineers and other data scientists What they're looking for Strong Python skills (critical) Hands-on experience with optimisation/operations research / mathematical modelling Background in supply chain or workforce planning (desirable) Ability to build and ship production-level components, not just analytical prototypes If this sounds like you and you would like to know more details, please apply now.
09/10/2025
Full time
Senior Data Scientist (Optimisation) Hybrid (2/3 office split) London £80k-£90k + Share options + Additional benefits The business This is a fast-growing AI technology company of around 15 people, building cutting-edge predictive and optimisation solutions for real-world operational challenges. The data team you'll be joining is at the centre of their platform which powers smarter workforce planning, scheduling and supply chain decisions for the clients they support. The role They're looking for a Senior Data Scientist with a passion for optimisation and operations research to help take the platform to the next level. There is a strong focus on mathematical modelling and utilising ML and AI technologies to help further scale systems. Key responsibilities Design and improve optimisation algorithms for staff scheduling and warehouse workforce planning Develop mathematical models and optimisers (beyond standard ML approaches) Evolve the existing optimiser into a scalable, production-ready system Write production-quality Python code and collaborate closely with engineers and other data scientists What they're looking for Strong Python skills (critical) Hands-on experience with optimisation/operations research / mathematical modelling Background in supply chain or workforce planning (desirable) Ability to build and ship production-level components, not just analytical prototypes If this sounds like you and you would like to know more details, please apply now.
DATA SCIENTIST / SENIOR ANALYST UP TO £80,000 HYBRID - 3X A WEEK IN LONDON ABOUT THE BUSINESS This is for a fast-growing company in the greentech sector, providing electric vehicle charging solutions that support the UK's transition to sustainable transport. With a strong footprint across London and an exciting new contract expanding into other areas of the UK, this business is scaling rapidly to meet rising demand for accessible, reliable EV infrastructure. Backed by private equity, they combine the agility of a scale-up with the stability and resources to grow nationwide. THE TEAM You'll be joining a small but growing Data team, reporting directly to the Head of Data. The foundations for data infrastructure have been carefully built over the past year, and now the focus is on turning data into actionable insight. This is a collaborative environment where data is central to decision-making - the executive team are highly engaged and see analytics as critical to the company's success. You'll have the opportunity to take ownership of impactful projects and help shape the future of EV charging strategy across the UK. THE ROLE This is a hands-on analytical role focused on understanding customer behaviour, usage patterns, and network performance to drive smarter, data-led decisions. It's ideal for someone who enjoys end-to-end analysis and translating complex data into clear business recommendations. Key projects include: Analysing where to launch new charging points and assessing site performance Understanding user behaviour and segmentation - who's charging, when, and how often Developing models to optimise pricing based on time of day and usage patterns Building dashboards and reports to monitor operational and commercial KPIs Supporting strategic planning as the business expands across the UK SKILLS & EXPERIENCE REQUIRED Strong SQL and Python skills Experience with data visualisation tools (Power BI preferred, but flexible) Proven background in analytics or data science, ideally in a commercial or operational context Exposure to predictive modelling, segmentation, or pricing analytics Ability to work independently and communicate insights clearly to non-technical stakeholders WHY APPLY? Play a central role in shaping analytics for one of the UK's most exciting greentech scale-ups Hybrid working with modern offices near Monument, London High-impact projects directly influencing nationwide EV charging strategy Work with a data-driven leadership team that values innovation and insight
09/10/2025
Full time
DATA SCIENTIST / SENIOR ANALYST UP TO £80,000 HYBRID - 3X A WEEK IN LONDON ABOUT THE BUSINESS This is for a fast-growing company in the greentech sector, providing electric vehicle charging solutions that support the UK's transition to sustainable transport. With a strong footprint across London and an exciting new contract expanding into other areas of the UK, this business is scaling rapidly to meet rising demand for accessible, reliable EV infrastructure. Backed by private equity, they combine the agility of a scale-up with the stability and resources to grow nationwide. THE TEAM You'll be joining a small but growing Data team, reporting directly to the Head of Data. The foundations for data infrastructure have been carefully built over the past year, and now the focus is on turning data into actionable insight. This is a collaborative environment where data is central to decision-making - the executive team are highly engaged and see analytics as critical to the company's success. You'll have the opportunity to take ownership of impactful projects and help shape the future of EV charging strategy across the UK. THE ROLE This is a hands-on analytical role focused on understanding customer behaviour, usage patterns, and network performance to drive smarter, data-led decisions. It's ideal for someone who enjoys end-to-end analysis and translating complex data into clear business recommendations. Key projects include: Analysing where to launch new charging points and assessing site performance Understanding user behaviour and segmentation - who's charging, when, and how often Developing models to optimise pricing based on time of day and usage patterns Building dashboards and reports to monitor operational and commercial KPIs Supporting strategic planning as the business expands across the UK SKILLS & EXPERIENCE REQUIRED Strong SQL and Python skills Experience with data visualisation tools (Power BI preferred, but flexible) Proven background in analytics or data science, ideally in a commercial or operational context Exposure to predictive modelling, segmentation, or pricing analytics Ability to work independently and communicate insights clearly to non-technical stakeholders WHY APPLY? Play a central role in shaping analytics for one of the UK's most exciting greentech scale-ups Hybrid working with modern offices near Monument, London High-impact projects directly influencing nationwide EV charging strategy Work with a data-driven leadership team that values innovation and insight
My client is seeking to recruit a DataOps Enginer on an initial 6 month contract based in London. It is hybrid and will require 2/3x days onsite per week. A Data Ops Engineer is a highly technical individual contributor, building modern, cloud-native, DevOps-first systems for standardizing and templatizing?biomedical and scientific?data engineering, with demonstrable experience across the following areas: They are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward: - Building a next-generation, metadata- and automation-driven data experience for scientists, engineers, and decision-makers, increasing productivity and reducing time spent on "data mechanics"- Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent- Aggressively engineering our data at scale, as one unified asset, to unlock the value of our unique collection of data and predictions in real-timeAutomation of end-to-end data flows:?Faster and reliable ingestion of high throughput data in genetics, genomics and multi-omics, to extract value of investments in new technology (instrument to analysis-ready data in 12h). - Deliver declarative components for common data ingestion, transformation and publishing techniques?- Define and implement data governance aligned to modern standards?- Establish scalable, automated processes for data engineering teams - Thought leader and partner with wider data engineering teams to advise on implementation and best practices?- Cloud Infrastructure-as-Code - Define Service and Flow orchestration - Data as a configurable resource?(including configuration-driven access to scientific data modelling tools) - Observabilty (monitoring, alerting, logging, tracing, ) - Enable quality engineering through KPIs and code coverage and quality checks - Standardise GitOps/declarative software development lifecycle?- Audit as a service?
09/10/2025
Full time
My client is seeking to recruit a DataOps Enginer on an initial 6 month contract based in London. It is hybrid and will require 2/3x days onsite per week. A Data Ops Engineer is a highly technical individual contributor, building modern, cloud-native, DevOps-first systems for standardizing and templatizing?biomedical and scientific?data engineering, with demonstrable experience across the following areas: They are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward: - Building a next-generation, metadata- and automation-driven data experience for scientists, engineers, and decision-makers, increasing productivity and reducing time spent on "data mechanics"- Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent- Aggressively engineering our data at scale, as one unified asset, to unlock the value of our unique collection of data and predictions in real-timeAutomation of end-to-end data flows:?Faster and reliable ingestion of high throughput data in genetics, genomics and multi-omics, to extract value of investments in new technology (instrument to analysis-ready data in 12h). - Deliver declarative components for common data ingestion, transformation and publishing techniques?- Define and implement data governance aligned to modern standards?- Establish scalable, automated processes for data engineering teams - Thought leader and partner with wider data engineering teams to advise on implementation and best practices?- Cloud Infrastructure-as-Code - Define Service and Flow orchestration - Data as a configurable resource?(including configuration-driven access to scientific data modelling tools) - Observabilty (monitoring, alerting, logging, tracing, ) - Enable quality engineering through KPIs and code coverage and quality checks - Standardise GitOps/declarative software development lifecycle?- Audit as a service?
Role: Front-End Engineer within Quant / Research Location: London (Hybrid) Comp: Up to £175,000 + exceptional guaranteed bonus + full package Company: Award-winning Quant Fund, founded by Computer Scientists Why this stands out: Tech Lead is not only an absolute/distinguished beast but one of the nicest people probably ever! Engineers report to engineers - no red tape & truly collaborative High autonomy, greenfield projects, modern/evolving tech stack A culture that values developers and truly supports them Small, flat structured, elite team = real & visible impact Beautiful offices with all the expected perks like food, gyms, etc What you will be working on: Building next-gen front-end systems powering real-time trading Crafting interactive dashboards and research tools with live insights and streaming data Working with the quants to turn complex models into intuitive, usable interfaces Developing high-performance UIs for large-scale datasets and real-time visualisations Bringing real-time ML insights to life Implementing real-time data streaming and WebSocket-powered interfaces for instant updates Applying modern React patterns, component architecture, and performance optimisations to mission-critical apps Shaping the future of trading interfaces, using the latest front-end tech to solve unique quant challenges Innovating! Ideal background: Minimum 1 year+ experience with React/TypeScript/Next.js etc Ideally someone Python Solid CompSci fundamentals (degree ideal, but not essential) Passion for tech - meetups, side projects, blogs, etc. Personality! Note that the client is happy to wait for notice periods, non-competes and can pay out bonuses Please apply with your updated CV ASAP as this is an urgent requirement.
09/10/2025
Full time
Role: Front-End Engineer within Quant / Research Location: London (Hybrid) Comp: Up to £175,000 + exceptional guaranteed bonus + full package Company: Award-winning Quant Fund, founded by Computer Scientists Why this stands out: Tech Lead is not only an absolute/distinguished beast but one of the nicest people probably ever! Engineers report to engineers - no red tape & truly collaborative High autonomy, greenfield projects, modern/evolving tech stack A culture that values developers and truly supports them Small, flat structured, elite team = real & visible impact Beautiful offices with all the expected perks like food, gyms, etc What you will be working on: Building next-gen front-end systems powering real-time trading Crafting interactive dashboards and research tools with live insights and streaming data Working with the quants to turn complex models into intuitive, usable interfaces Developing high-performance UIs for large-scale datasets and real-time visualisations Bringing real-time ML insights to life Implementing real-time data streaming and WebSocket-powered interfaces for instant updates Applying modern React patterns, component architecture, and performance optimisations to mission-critical apps Shaping the future of trading interfaces, using the latest front-end tech to solve unique quant challenges Innovating! Ideal background: Minimum 1 year+ experience with React/TypeScript/Next.js etc Ideally someone Python Solid CompSci fundamentals (degree ideal, but not essential) Passion for tech - meetups, side projects, blogs, etc. Personality! Note that the client is happy to wait for notice periods, non-competes and can pay out bonuses Please apply with your updated CV ASAP as this is an urgent requirement.
Our client builds the technology and systems that redefine markets. They're a research-driven quantitative trading firm where software is central to every decision, and Python is the backbone of our strategy development and execution stack. We're looking for a world-class Python Software Engineer who writes clean, fast, production-grade code-and knows how to work where performance meets precision. What You'll Work On: Architect tools and infrastructure for quantitative research and trading strategy development. Build robust data pipelines ingesting terabytes of market and alt data with sub-second latency Design elegant APIs to connect researchers, trading systems, and execution engines Automate everything: backtesting, model deployment, risk analytics, and real-time reporting What Sets You Apart: Deep experience with Python in a high-performance, production-grade setting. Strong fundamentals in software engineering: testing, version control, CI/CD, clean architecture Passion for building internal tools, research frameworks, or working on data-heavy systems Bonus: Exposure to pandas, NumPy, asyncio, Cython, or PyArrow. Familiarity with C++ is a plus Bonus : Experience working with quants, data scientists, or in trading environments Tech Stack: Python 3.11+ (fast, modern, typed) Dask, pandas, PyArrow, NumPy PostgreSQL, Parquet, S3 Airflow, Docker, Kubernetes, GitLab CI Internal frameworks built for scale and speed Why Join: Engineers own projects end-to-end-from design to deployment to impact Work side-by-side with quants, traders, and researchers in a flat, fast-moving team Competitive compensation at the top of the market, with research-aligned bonuses No bureaucracy. No legacy. Just smart people solving hard problems, fast Apply now!
09/10/2025
Full time
Our client builds the technology and systems that redefine markets. They're a research-driven quantitative trading firm where software is central to every decision, and Python is the backbone of our strategy development and execution stack. We're looking for a world-class Python Software Engineer who writes clean, fast, production-grade code-and knows how to work where performance meets precision. What You'll Work On: Architect tools and infrastructure for quantitative research and trading strategy development. Build robust data pipelines ingesting terabytes of market and alt data with sub-second latency Design elegant APIs to connect researchers, trading systems, and execution engines Automate everything: backtesting, model deployment, risk analytics, and real-time reporting What Sets You Apart: Deep experience with Python in a high-performance, production-grade setting. Strong fundamentals in software engineering: testing, version control, CI/CD, clean architecture Passion for building internal tools, research frameworks, or working on data-heavy systems Bonus: Exposure to pandas, NumPy, asyncio, Cython, or PyArrow. Familiarity with C++ is a plus Bonus : Experience working with quants, data scientists, or in trading environments Tech Stack: Python 3.11+ (fast, modern, typed) Dask, pandas, PyArrow, NumPy PostgreSQL, Parquet, S3 Airflow, Docker, Kubernetes, GitLab CI Internal frameworks built for scale and speed Why Join: Engineers own projects end-to-end-from design to deployment to impact Work side-by-side with quants, traders, and researchers in a flat, fast-moving team Competitive compensation at the top of the market, with research-aligned bonuses No bureaucracy. No legacy. Just smart people solving hard problems, fast Apply now!
Lead/Principal Data Scientist London - 3 days a week Up to £135,000 About the Company We're working with a next-generation private markets firm that is redefining value creation by combining deep industry expertise with data science and machine learning. This is a unique opportunity to join a company that partners directly with portfolio companies to drive measurable operational and financial performance. They're now hiring a Lead/Principal Data Scientist to lead machine learning projects across a wide variety of real-world domains. Working closely with a multidisciplinary team, you'll have the autonomy to shape technical approaches while staying closely tied to commercial outcomes. This role is ideal for someone who enjoys solving complex, ambiguous business problems using data science, and wants to work at the intersection of technology, investment, and strategy. Key Responsibilities Translate complex business problems into measurable data science solutions that deliver commercial value Lead the design, development, and deployment of predictive and optimisation models across multiple industries Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment Collaborate with data engineers and MLOps professionals to ensure scalable, production-grade solutions Act as a technical lead within project teams, mentoring mid-level data scientists and guiding model design choices Communicate findings and strategic insights to both technical and non-technical stakeholders Requirements: You're an experienced data scientist with a proven track record of using machine learning to solve real-world business challenges. You're just as comfortable in Python as you are in a boardroom, and you're motivated by measurable impact, not just model accuracy. Proven experience applying data science in commercial settings Proven ability to lead data science projects from concept to production Deep understanding of statistical modelling, predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor's or Master's degree in a quantitative field (e.g., Mathematics, Physics, Engineering, Computer Science) from a strong university Excellent communication skills and a collaborative mindset Please note: This role cannot offer VISA sponsorship
09/10/2025
Full time
Lead/Principal Data Scientist London - 3 days a week Up to £135,000 About the Company We're working with a next-generation private markets firm that is redefining value creation by combining deep industry expertise with data science and machine learning. This is a unique opportunity to join a company that partners directly with portfolio companies to drive measurable operational and financial performance. They're now hiring a Lead/Principal Data Scientist to lead machine learning projects across a wide variety of real-world domains. Working closely with a multidisciplinary team, you'll have the autonomy to shape technical approaches while staying closely tied to commercial outcomes. This role is ideal for someone who enjoys solving complex, ambiguous business problems using data science, and wants to work at the intersection of technology, investment, and strategy. Key Responsibilities Translate complex business problems into measurable data science solutions that deliver commercial value Lead the design, development, and deployment of predictive and optimisation models across multiple industries Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment Collaborate with data engineers and MLOps professionals to ensure scalable, production-grade solutions Act as a technical lead within project teams, mentoring mid-level data scientists and guiding model design choices Communicate findings and strategic insights to both technical and non-technical stakeholders Requirements: You're an experienced data scientist with a proven track record of using machine learning to solve real-world business challenges. You're just as comfortable in Python as you are in a boardroom, and you're motivated by measurable impact, not just model accuracy. Proven experience applying data science in commercial settings Proven ability to lead data science projects from concept to production Deep understanding of statistical modelling, predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor's or Master's degree in a quantitative field (e.g., Mathematics, Physics, Engineering, Computer Science) from a strong university Excellent communication skills and a collaborative mindset Please note: This role cannot offer VISA sponsorship
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