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machine learning engineer
Client Server
Lead Software Engineer SaaS
Client Server
Lead Software Engineer / Developer (Rust Golang) London / WFH to £110k Are you a senior technologist with leadership skills? You could be progressing your career working on bleeding edge, Machine Learning and AI powered, audio fraud detection software used by all UK banks, the emergency services and a range of other clients to prevent and detect fraudulent call activities at a market leading SaaS bu click apply for full job details
Dec 10, 2025
Full time
Lead Software Engineer / Developer (Rust Golang) London / WFH to £110k Are you a senior technologist with leadership skills? You could be progressing your career working on bleeding edge, Machine Learning and AI powered, audio fraud detection software used by all UK banks, the emergency services and a range of other clients to prevent and detect fraudulent call activities at a market leading SaaS bu click apply for full job details
Head of Operations (Auto/Secured lending)
Lendable City, London
About Lendable Lendable is on a mission to build the world's best technology to help people get credit and save money.We're building one of the world's leading fintech companies and are off to a strong start: One of the UK's newest unicorns with a team of just over 600 people Among the fastest-growing tech companies in the UK Profitable since 2017 Backed by top investors including Balderton Capital and Goldman Sachs Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot) So far, we've rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers hands in minutes instead of days. We're growing fast, and there's a lot more to do: we're going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks Join us if you want to Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting Role Purpose The Head of Operations (Auto/Secured lending) is responsible for the daily performance, development, and continuous improvement of the frontline teams dedicated to one or more of our existing products, spanning both Customer Service and Financial Support functions. Reporting to the Operations Director, you will lead and coach a team of Team Leads, ensuring their teams deliver exceptional service, maintain high operational efficiency, and are accountable for consistently achieving defined service levels alongside consistently meeting and customer outcomes, including customers in financial difficulty or vulnerable situations. You will play a pivotal role in translating strategic operational initiatives, including those involving AI and automation, into effective frontline execution. You will be accountable for identifying and implementing data-driven improvements that enhance efficiency, scalability, and customer outcomes within your product remit, fostering a culture of continuous improvement and digital adoption across your teams. Key Responsibilities 1. Team Leadership & Development Lead, coach, and develop a team of Team Leads, enabling them to inspire and manage their frontline agents effectively across both customer service and financial support streams. Foster a high-performance culture of continuous learning, accountability, and problem-solving within the operations teams, ensuring a strong focus on empathetic customer support and compliance. Oversee the performance management for the teams, ensuring consistent achievement of KPIs (e.g., customer satisfaction, quality, compliance, productivity, SLAs). Lead the identification of skill gaps and drive upskilling initiatives within your teams to ensure they are proficient and adaptable to new technologies, particularly automation, AI tools, and enhanced digital workflows, fostering a digitally-savvy workforce. 2. Operational Oversight & Performance Manage the day-to-day operations of the customer service and financial support teams, ensuring smooth delivery, effective resource allocation, and adherence to service level agreements. Leverage comprehensive data analysis (KPIs, dashboards, quality scores, customer feedback), including insights derived from AI tools, to identify operational trends, performance gaps, and opportunities for automation or process re engineering. Formulate and propose data backed recommendations for continuous improvement and strategic adjustments specific to the product within your remit, aiming for enhanced efficiency and customer experience. Proactively address operational challenges and escalations and implement timely solutions to maintain service quality and efficiency. 3. Process Improvement & Product Focus Proactively identify and analyse process pain points within the customer journeys and operational workflows, translating these insights into concrete recommendations for automation, digital enhancements, and intelligent process re engineering, specifically within your product scope. Oversee and drive the implementation of approved automation, digital enhancements, and re engineered processes, ensuring they significantly improve customer experience, operational efficiency, and accessibility for your product. Champion and embed these innovative process changes and new technological tools within the frontline teams, ensuring smooth adoption, adherence, and alignment with the overarching operational strategy. 4. Risk, Quality & Compliance Ensure that all customer interactions and processes related to your product remit meet regulatory and compliance standards, with particular attention to vulnerable or high risk cardholders. Promote strong risk awareness and adherence to policies within the teams, supporting the embedding of governance and quality frameworks. Accountable for the development, maintenance, and adherence to robust operational procedures, internal risk controls, and relevant compliance documentation. Act as a key point of contact for compliance issues specific to your product remit, supporting corrective actions as needed. 5. Stakeholder Collaboration Collaborate effectively with Product, Technology, Risk, and Compliance teams on initiatives impacting customer journeys and operational processes. Communicate performance updates, risks, and improvement recommendations to the Operations Director and relevant internal stakeholders. Represent the operations teams, advocating for frontline feedback and customer insights to drive positive change. 6. Reporting & Insight Contribute to operational reporting by providing comprehensive data and insights specific to your product remit, including performance of new automated processes and AI driven initiatives, covering KPIs, efficiency, and customer outcomes. Proactively leverage analytical insights to diagnose operational issues, identify emerging operational trends and issues within your product domain, driving the implementation of appropriate tooling and tactical actions, and providing data driven input for strategic improvements. Understanding of compliance, risk management, and regulatory requirements, particularly relevant to financial products and vulnerable customers. Person Specification Experience & Skills Proven experience managing or supervising multiple teams in a customer facing or operations environment, ideally within a regulated or tech enabled financial services context. Demonstrable experience in driving team performance and development, including coaching and mentoring Team Leads or supervisors. Strong analytical skills, with the ability to interpret operational data (KPIs, dashboards, quality scores, customer feedback) to identify trends, diagnose root causes, and propose actionable solutions. Demonstrable experience in identifying, evaluating, and successfully implementing process improvements, with a strong focus on leveraging automation, digital enhancements, and AI tools to drive efficiency and enhance customer outcomes at an operational management level. Proven ability to develop, implement, and maintain operational procedures and risk/control documentation. Strong written and verbal communication skills, with the ability to effectively engage and influence internal stakeholders. Understanding of compliance, risk management, and regulatory requirements, particularly relevant to financial products like cards and vulnerable customers. Experience managing operations related to a specific product (e.g., cards, Loans, Car Finance) is highly desirable. Behaviours & Approach Customer Focused: Committed to delivering compassionate, fair, and efficient support to all customers, with a particular awareness for vulnerable cardholders. Action Oriented Problem Solver: Proactive in identifying operational challenges, analysing root causes, and recommending and implementing effective solutions within their remit. Data Informed: Uses evidence and insights to guide decision making and team management, proactively seeking opportunities for data driven recommendations. Enabling Leader: Motivating and supportive of Team Leads and their teams, fostering a collaborative, accountable, and development oriented environment. Detail Oriented & Diligent: Ensures accuracy and completeness in operational procedures and compliance documentation. Adaptable & Resilient: Able to thrive in a fast paced, dynamic environment, balancing competing priorities and adapting to change. Process & Technology Improvement Mindset: A proactive drive to identify and implement innovative solutions, including automation and AI, to streamline workflows, enhance efficiency, and improve customer journeys. Team Player: Collaborates effectively across departments to achieve shared goals and deliver positive outcomes. Digital Adoption Champion: Enthusiastic about leveraging new technologies, particularly AI and automation . click apply for full job details
Dec 10, 2025
Full time
About Lendable Lendable is on a mission to build the world's best technology to help people get credit and save money.We're building one of the world's leading fintech companies and are off to a strong start: One of the UK's newest unicorns with a team of just over 600 people Among the fastest-growing tech companies in the UK Profitable since 2017 Backed by top investors including Balderton Capital and Goldman Sachs Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot) So far, we've rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers hands in minutes instead of days. We're growing fast, and there's a lot more to do: we're going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks Join us if you want to Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting Role Purpose The Head of Operations (Auto/Secured lending) is responsible for the daily performance, development, and continuous improvement of the frontline teams dedicated to one or more of our existing products, spanning both Customer Service and Financial Support functions. Reporting to the Operations Director, you will lead and coach a team of Team Leads, ensuring their teams deliver exceptional service, maintain high operational efficiency, and are accountable for consistently achieving defined service levels alongside consistently meeting and customer outcomes, including customers in financial difficulty or vulnerable situations. You will play a pivotal role in translating strategic operational initiatives, including those involving AI and automation, into effective frontline execution. You will be accountable for identifying and implementing data-driven improvements that enhance efficiency, scalability, and customer outcomes within your product remit, fostering a culture of continuous improvement and digital adoption across your teams. Key Responsibilities 1. Team Leadership & Development Lead, coach, and develop a team of Team Leads, enabling them to inspire and manage their frontline agents effectively across both customer service and financial support streams. Foster a high-performance culture of continuous learning, accountability, and problem-solving within the operations teams, ensuring a strong focus on empathetic customer support and compliance. Oversee the performance management for the teams, ensuring consistent achievement of KPIs (e.g., customer satisfaction, quality, compliance, productivity, SLAs). Lead the identification of skill gaps and drive upskilling initiatives within your teams to ensure they are proficient and adaptable to new technologies, particularly automation, AI tools, and enhanced digital workflows, fostering a digitally-savvy workforce. 2. Operational Oversight & Performance Manage the day-to-day operations of the customer service and financial support teams, ensuring smooth delivery, effective resource allocation, and adherence to service level agreements. Leverage comprehensive data analysis (KPIs, dashboards, quality scores, customer feedback), including insights derived from AI tools, to identify operational trends, performance gaps, and opportunities for automation or process re engineering. Formulate and propose data backed recommendations for continuous improvement and strategic adjustments specific to the product within your remit, aiming for enhanced efficiency and customer experience. Proactively address operational challenges and escalations and implement timely solutions to maintain service quality and efficiency. 3. Process Improvement & Product Focus Proactively identify and analyse process pain points within the customer journeys and operational workflows, translating these insights into concrete recommendations for automation, digital enhancements, and intelligent process re engineering, specifically within your product scope. Oversee and drive the implementation of approved automation, digital enhancements, and re engineered processes, ensuring they significantly improve customer experience, operational efficiency, and accessibility for your product. Champion and embed these innovative process changes and new technological tools within the frontline teams, ensuring smooth adoption, adherence, and alignment with the overarching operational strategy. 4. Risk, Quality & Compliance Ensure that all customer interactions and processes related to your product remit meet regulatory and compliance standards, with particular attention to vulnerable or high risk cardholders. Promote strong risk awareness and adherence to policies within the teams, supporting the embedding of governance and quality frameworks. Accountable for the development, maintenance, and adherence to robust operational procedures, internal risk controls, and relevant compliance documentation. Act as a key point of contact for compliance issues specific to your product remit, supporting corrective actions as needed. 5. Stakeholder Collaboration Collaborate effectively with Product, Technology, Risk, and Compliance teams on initiatives impacting customer journeys and operational processes. Communicate performance updates, risks, and improvement recommendations to the Operations Director and relevant internal stakeholders. Represent the operations teams, advocating for frontline feedback and customer insights to drive positive change. 6. Reporting & Insight Contribute to operational reporting by providing comprehensive data and insights specific to your product remit, including performance of new automated processes and AI driven initiatives, covering KPIs, efficiency, and customer outcomes. Proactively leverage analytical insights to diagnose operational issues, identify emerging operational trends and issues within your product domain, driving the implementation of appropriate tooling and tactical actions, and providing data driven input for strategic improvements. Understanding of compliance, risk management, and regulatory requirements, particularly relevant to financial products and vulnerable customers. Person Specification Experience & Skills Proven experience managing or supervising multiple teams in a customer facing or operations environment, ideally within a regulated or tech enabled financial services context. Demonstrable experience in driving team performance and development, including coaching and mentoring Team Leads or supervisors. Strong analytical skills, with the ability to interpret operational data (KPIs, dashboards, quality scores, customer feedback) to identify trends, diagnose root causes, and propose actionable solutions. Demonstrable experience in identifying, evaluating, and successfully implementing process improvements, with a strong focus on leveraging automation, digital enhancements, and AI tools to drive efficiency and enhance customer outcomes at an operational management level. Proven ability to develop, implement, and maintain operational procedures and risk/control documentation. Strong written and verbal communication skills, with the ability to effectively engage and influence internal stakeholders. Understanding of compliance, risk management, and regulatory requirements, particularly relevant to financial products like cards and vulnerable customers. Experience managing operations related to a specific product (e.g., cards, Loans, Car Finance) is highly desirable. Behaviours & Approach Customer Focused: Committed to delivering compassionate, fair, and efficient support to all customers, with a particular awareness for vulnerable cardholders. Action Oriented Problem Solver: Proactive in identifying operational challenges, analysing root causes, and recommending and implementing effective solutions within their remit. Data Informed: Uses evidence and insights to guide decision making and team management, proactively seeking opportunities for data driven recommendations. Enabling Leader: Motivating and supportive of Team Leads and their teams, fostering a collaborative, accountable, and development oriented environment. Detail Oriented & Diligent: Ensures accuracy and completeness in operational procedures and compliance documentation. Adaptable & Resilient: Able to thrive in a fast paced, dynamic environment, balancing competing priorities and adapting to change. Process & Technology Improvement Mindset: A proactive drive to identify and implement innovative solutions, including automation and AI, to streamline workflows, enhance efficiency, and improve customer journeys. Team Player: Collaborates effectively across departments to achieve shared goals and deliver positive outcomes. Digital Adoption Champion: Enthusiastic about leveraging new technologies, particularly AI and automation . click apply for full job details
Data Science Principal
CHEP UK Ltd.
Lead a team of data scientists, providing mentorship and guidance on daily tasks, fostering professional development and capability growth. Oversee the implementation of Continuous Integration/Continuous Deployment (CI/CD) pipelines, ensuring deliverables meet project milestones and quality standards. Apply advanced machine learning, forecasting, and statistical analysis techniques to drive experimentation and innovation on data science projects. Lead the experimentation and implementation of new data science techniques for projects, ensuring alignment with internal and external customer objectives. Communicate project status, methodologies, and results to both technical teams and business stakeholders, translating complex data insights into actionable strategies. Facilitate data science team discussions, providing technical expertise on current methods and guiding decision-making for optimal outcomes. Contribute to strategic data science initiatives, influencing the direction of key projects and aligning team efforts with broader business goals. Encourage collaboration across teams and functions to ensure seamless integration of data science solutions into business processes and technology platforms. Experience Experience in people and/or project management activities. Utilized multiple data science methodologies. Qualifications Degree in Data Science, Computer Science, Engineering, Science, Information Systems and/or equivalent formal training plus work experienceBS & 7+ years of work experience MS & 6+ years of work experience Excellent communication skills.7+ years of work experience in a data science role Familiarity with Data Science software & platforms (e.g. Databricks) Software development experience Research and new algorithm development experience Skills and knowledge Demonstrable experience of machine learning techniques and algorithms Experience with statistical techniques and CRISP-DM lifecycle. Production ML Experience: Deployed models that serve real users, ability of scale to million users without incurring technical debt.Strong programming skills in Python and familiarity with ML libraries and frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar.MLOPS experience with tools such as Drift, Decay, A/B Testing. Integration and Differential testing, python package building, code version etc. Experience with data pipeline creation and working with structured and unstructured data. Familiarity with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) preferred. Excellent problem-solving skills combined with the ability to communicate complex technical concepts to non-technical stakeholders.Ability to mentor team of Data Scientists, Machine Learning Engineers and Data Engineers with strategy making capability.
Dec 10, 2025
Full time
Lead a team of data scientists, providing mentorship and guidance on daily tasks, fostering professional development and capability growth. Oversee the implementation of Continuous Integration/Continuous Deployment (CI/CD) pipelines, ensuring deliverables meet project milestones and quality standards. Apply advanced machine learning, forecasting, and statistical analysis techniques to drive experimentation and innovation on data science projects. Lead the experimentation and implementation of new data science techniques for projects, ensuring alignment with internal and external customer objectives. Communicate project status, methodologies, and results to both technical teams and business stakeholders, translating complex data insights into actionable strategies. Facilitate data science team discussions, providing technical expertise on current methods and guiding decision-making for optimal outcomes. Contribute to strategic data science initiatives, influencing the direction of key projects and aligning team efforts with broader business goals. Encourage collaboration across teams and functions to ensure seamless integration of data science solutions into business processes and technology platforms. Experience Experience in people and/or project management activities. Utilized multiple data science methodologies. Qualifications Degree in Data Science, Computer Science, Engineering, Science, Information Systems and/or equivalent formal training plus work experienceBS & 7+ years of work experience MS & 6+ years of work experience Excellent communication skills.7+ years of work experience in a data science role Familiarity with Data Science software & platforms (e.g. Databricks) Software development experience Research and new algorithm development experience Skills and knowledge Demonstrable experience of machine learning techniques and algorithms Experience with statistical techniques and CRISP-DM lifecycle. Production ML Experience: Deployed models that serve real users, ability of scale to million users without incurring technical debt.Strong programming skills in Python and familiarity with ML libraries and frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar.MLOPS experience with tools such as Drift, Decay, A/B Testing. Integration and Differential testing, python package building, code version etc. Experience with data pipeline creation and working with structured and unstructured data. Familiarity with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) preferred. Excellent problem-solving skills combined with the ability to communicate complex technical concepts to non-technical stakeholders.Ability to mentor team of Data Scientists, Machine Learning Engineers and Data Engineers with strategy making capability.
Commercial HVAC and Gas Engineer
YDU JC Air Cond & Ref Inc.- Dubai Warwick, Warwickshire
.Commercial HVAC and Gas Engineer page is loaded Commercial HVAC and Gas Engineerlocations: GBR Droitwich: Coventry-West Midlands-United Kingdom: Birmingham-Midlands-United Kingdom: Slough-Berkshire-United Kingdom: Warwick-Warwickshire-United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: WD Join Password Services Air Conditioning Ltd. , part of Johnson Controls, as a Commercial HVAC & Gas Engineer . In this mobile role, you'll work at blue-chip client sites across the central region (Birmingham to Watford), ensuring HVAC and gas systems operate at peak performance.You'll be the primary technical contact for service issues-troubleshooting, repairing, and maintaining complex systems to deliver exceptional service. What You'll Do Carry out service, maintenance, and repairs on HVAC & refrigeration systems at client sites. Install, service, and maintain gas and electric water heaters. Replace and commission new heating systems and components. Diagnose and resolve faults quickly and efficiently. Perform Gas Safety checks on appliances and pipework installations. Maintain internal and external water systems for optimal performance. Ensure compliance with Health & Safety regulations and industry standards. Complete accurate job sheets, service reports, and compliance documentation. Liaise with clients and participate in an on-call rota for emergency call-outs. What We're Looking For Proven HVAC service experience (e.g., AHUs, gas heaters). Strong knowledge of HVAC systems (cold rooms, display cabinets, chillers, cellar cooling, ice machines). Excellent troubleshooting skills. Ability to work independently and as part of a team. Qualifications: + NVQ Level 2 or equivalent in Air Conditioning & Refrigeration + F-Gas certification. + Commercial Gas qualifications (CODNCO1, CIGA1, ICPN1). + Gas Safe Registered. Full UK driving licence and willingness to travel. What We Offer Competitive salary + premium overtime rates, standby allowance, and paid call-outs. Tools for success: Service van, mobile, tablet, PPE, and specialist tools. Generous leave: 25 days holiday + bank holidays. Benefits: Pension, life assurance, EAP, referral scheme, retail discounts, Cycle2Work, and discounts on Johnson Controls products. Safety-first culture: Zero Harm policy. Inclusive environment: Access to Johnson Controls business resource groups with training and development opportunitiesApply now and take the next step in your HVAC career! buildings have a purpose. They are places for people to live or work. Facilities for learning or healing. Venues for entertainment and shopping. Sites for the specialized storage of tangible goods or mission-critical data. Your buildings have a huge variety of functions; they are central to your mission. This is where Johnson Controls comes in, helping drive the outcomes that matter most. Through a full range of systems and digital solutions, we make your buildings smarter. A smarter building is safer, more comfortable, more efficient, and, ultimately, more sustainable. Most important, smarter buildings let you focus more intensely on your unique mission. Better for your people. Better for your bottom line. Better for the planet.At Johnson Controls, we've been making buildings smarter since 1885, and our capabilities, depth of innovation experience, and global reach have been growing ever since. Today, we offer the world's largest portfolio of building products, technologies, software, and services; we put that portfolio to work to transform the environments where people live, work, learn and play.
Dec 10, 2025
Full time
.Commercial HVAC and Gas Engineer page is loaded Commercial HVAC and Gas Engineerlocations: GBR Droitwich: Coventry-West Midlands-United Kingdom: Birmingham-Midlands-United Kingdom: Slough-Berkshire-United Kingdom: Warwick-Warwickshire-United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: WD Join Password Services Air Conditioning Ltd. , part of Johnson Controls, as a Commercial HVAC & Gas Engineer . In this mobile role, you'll work at blue-chip client sites across the central region (Birmingham to Watford), ensuring HVAC and gas systems operate at peak performance.You'll be the primary technical contact for service issues-troubleshooting, repairing, and maintaining complex systems to deliver exceptional service. What You'll Do Carry out service, maintenance, and repairs on HVAC & refrigeration systems at client sites. Install, service, and maintain gas and electric water heaters. Replace and commission new heating systems and components. Diagnose and resolve faults quickly and efficiently. Perform Gas Safety checks on appliances and pipework installations. Maintain internal and external water systems for optimal performance. Ensure compliance with Health & Safety regulations and industry standards. Complete accurate job sheets, service reports, and compliance documentation. Liaise with clients and participate in an on-call rota for emergency call-outs. What We're Looking For Proven HVAC service experience (e.g., AHUs, gas heaters). Strong knowledge of HVAC systems (cold rooms, display cabinets, chillers, cellar cooling, ice machines). Excellent troubleshooting skills. Ability to work independently and as part of a team. Qualifications: + NVQ Level 2 or equivalent in Air Conditioning & Refrigeration + F-Gas certification. + Commercial Gas qualifications (CODNCO1, CIGA1, ICPN1). + Gas Safe Registered. Full UK driving licence and willingness to travel. What We Offer Competitive salary + premium overtime rates, standby allowance, and paid call-outs. Tools for success: Service van, mobile, tablet, PPE, and specialist tools. Generous leave: 25 days holiday + bank holidays. Benefits: Pension, life assurance, EAP, referral scheme, retail discounts, Cycle2Work, and discounts on Johnson Controls products. Safety-first culture: Zero Harm policy. Inclusive environment: Access to Johnson Controls business resource groups with training and development opportunitiesApply now and take the next step in your HVAC career! buildings have a purpose. They are places for people to live or work. Facilities for learning or healing. Venues for entertainment and shopping. Sites for the specialized storage of tangible goods or mission-critical data. Your buildings have a huge variety of functions; they are central to your mission. This is where Johnson Controls comes in, helping drive the outcomes that matter most. Through a full range of systems and digital solutions, we make your buildings smarter. A smarter building is safer, more comfortable, more efficient, and, ultimately, more sustainable. Most important, smarter buildings let you focus more intensely on your unique mission. Better for your people. Better for your bottom line. Better for the planet.At Johnson Controls, we've been making buildings smarter since 1885, and our capabilities, depth of innovation experience, and global reach have been growing ever since. Today, we offer the world's largest portfolio of building products, technologies, software, and services; we put that portfolio to work to transform the environments where people live, work, learn and play.
AI Engineer
167 Solutions Ltd Bristol, Somerset
AI Engineer Generative AI Global Manufacturing Enterprise Hired by 167 Solutions on behalf of a Global Manufacturing Business Location: UK (Hybrid or Remote Options) (must be UK based) Salary: £60,000 to £100,000 per annum Type: Permanent Experience Required: 3 years delivering live AI products and 5 years or more of theory and applied machine learning understanding 167 Solutions is supporting a worl click apply for full job details
Dec 10, 2025
Full time
AI Engineer Generative AI Global Manufacturing Enterprise Hired by 167 Solutions on behalf of a Global Manufacturing Business Location: UK (Hybrid or Remote Options) (must be UK based) Salary: £60,000 to £100,000 per annum Type: Permanent Experience Required: 3 years delivering live AI products and 5 years or more of theory and applied machine learning understanding 167 Solutions is supporting a worl click apply for full job details
Machine Learning Engineer
Gerrell & Hard Oxford, Oxfordshire
Machine Learning Engineer Oxford - Some flexibility on the working times and potential for some hybrid working for the right candidate £Competitive + Excellent Benefits Join a fast-growing, venture-funded technology company developing the next generation of advanced metal components. Our multidisciplinary team of metallurgists, engineers, and software developers works across the UK, Japan, and the US click apply for full job details
Dec 10, 2025
Full time
Machine Learning Engineer Oxford - Some flexibility on the working times and potential for some hybrid working for the right candidate £Competitive + Excellent Benefits Join a fast-growing, venture-funded technology company developing the next generation of advanced metal components. Our multidisciplinary team of metallurgists, engineers, and software developers works across the UK, Japan, and the US click apply for full job details
Research Fellow, School of Engineering
EURAXESS Ireland Southampton, Hampshire
Organisation/Company UNIVERSITY OF SOUTHAMPTON Research Field Computer science Physics Researcher Profile First Stage Researcher (R1) Country United Kingdom Application Deadline 26 Dec 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The School of Engineering invites applications for three highly motivated individuals to join the University of Southampton. The successful candidates will engage in cutting edge research under the mentorship of leading experts in one of the following priority research areas: Research area 1: Intelligent Structural Optimization using Physics-Informed Reinforcement Learning Research area 2: AI-Enhanced Digital Twin Framework for Smart and Sustainable Advanced Manufacturing Research area 3: Advanced Multifunctional Materials The ideal candidates would have a background in machine learning, manufacturing, characterization, and testing of novel high performance multifunctional materials. During the project, you will conduct independent research within the designated area while actively seeking opportunities to apply your findings by engaging with relevant stakeholders. You will be expected to publish your research in reputable academic journals and present your work at leading conferences, contributing to the visibility and impact of your field. Additionally, you will engage in continuous professional development to enhance your expertise and skills. Your role will also involve contributing to the university environment through activities such as delivering invited guest lectures, participating in seminars, workshops, and early career researcher forums. Furthermore, you will play a key role in cascading the practical knowledge gained during the fellowship to key stakeholders, ensuring its wider dissemination and impact. The initial appointment is for one year, with the potential for continuation based on the progression of the project up to 3 years. The candidate will undertake research with collaboration with Ansys under the supervision of the award holder (Dr. Susmita Naskar). To apply for this role please ensure you have attached a CV and Research Statement of previous experience.
Dec 10, 2025
Full time
Organisation/Company UNIVERSITY OF SOUTHAMPTON Research Field Computer science Physics Researcher Profile First Stage Researcher (R1) Country United Kingdom Application Deadline 26 Dec 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The School of Engineering invites applications for three highly motivated individuals to join the University of Southampton. The successful candidates will engage in cutting edge research under the mentorship of leading experts in one of the following priority research areas: Research area 1: Intelligent Structural Optimization using Physics-Informed Reinforcement Learning Research area 2: AI-Enhanced Digital Twin Framework for Smart and Sustainable Advanced Manufacturing Research area 3: Advanced Multifunctional Materials The ideal candidates would have a background in machine learning, manufacturing, characterization, and testing of novel high performance multifunctional materials. During the project, you will conduct independent research within the designated area while actively seeking opportunities to apply your findings by engaging with relevant stakeholders. You will be expected to publish your research in reputable academic journals and present your work at leading conferences, contributing to the visibility and impact of your field. Additionally, you will engage in continuous professional development to enhance your expertise and skills. Your role will also involve contributing to the university environment through activities such as delivering invited guest lectures, participating in seminars, workshops, and early career researcher forums. Furthermore, you will play a key role in cascading the practical knowledge gained during the fellowship to key stakeholders, ensuring its wider dissemination and impact. The initial appointment is for one year, with the potential for continuation based on the progression of the project up to 3 years. The candidate will undertake research with collaboration with Ansys under the supervision of the award holder (Dr. Susmita Naskar). To apply for this role please ensure you have attached a CV and Research Statement of previous experience.
Data Science Manager
WeAreTechWomen City, London
Job Description Job Role: Data Science Manager Location: London Career Level: Manager Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. "Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and the communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO As a team We've been at the forefront of the Data and AI revolution and want you to help transform leading organisations and communities around the world. Accenture is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. Accenture's Data & AI practice covers the range of Data and AI skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Accenture's broader Strategy and Consulting practice, we are able to bring together the unique ability to drive end to end business change through the application of Data and AI. You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways. If you're looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll be working with cutting edge technologies and will have the opportunity to develop a wide range of new skills on the job. In our team you will learn At the forefront of the industry, you'll create, own and make it a reality for clients looking to better serve their connected customers and operate always on enterprises. Become an integral part of our Applied Intelligence team with the credibility, expertise and insight clients depend on. You will be working with famous brands and household names - no worrying about how to explain what you do to your family again! In this role you will Lead, motivate and inspire teams of Data Scientists Create bespoke machine learning solutions to model/solve problems and to help develop the team Solve challenging business problems using advanced machine learning methods such as Deep Learning and quantitative analytics Understand business requirements and support the development of business cases Run discovery analytics to identify new and innovative opportunities Partner with developers and engineers to deploy, embed and scale machine learning models to deliver complex/critical projects Devise reusable assets, solutions and develop best practices for current and future business problems Lead analytical discussions and influence analytical direction of client's teams Communicate and provide guidance to senior client leadership and teams Contribute data science expertise to new sales activities Qualification We are looking for experience in the following skills: Relevant work experience in data science, machine learning, and business analytics Practical experience in coding language - e.g., Python, R, Scala, etc. (Python preferred) Strong proficiency in database technologies - e.g., SQL, ETL, No SQL, DW, and Big Data technologies - e.g., PySpark, Hive, etc. Experienced working with structured and also unstructured data - e.g., Text, PDFs, jpgs, call recordings, video, etc. Knowledge of machine learning modelling techniques and how to fine tune those models - e.g., XGBoost, Deep Neural Networks, Transformers, ResNets, VAEs, GANs, Markov chains, etc. Experience using specialized machine learning libraries - e.g., Fastai, Keras, Tensorflow, pytorch, sci kit learn, huggingface, etc. Must demonstrate the capacity of reading, understanding and implementing new techniques in the field of machine learning as they emerge. Experience of using Cloud technologies - e.g., AWS, GCP or Azure Specialized visualisation techniques - e.g., D3.js, ggplot, etc. Strong verbal/written communication & data presentation skills Set yourself apart Ability to lead large projects and drive through to completion Mastery of problem solving and solutioning Proven history and background in statistics/mathematics/macroeconomics What's in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 30 days' vacation per year, gym subsidy, private medical insurance and 3 extra days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first class services we are known for. Locations London Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process. About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other. We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work. At Accenture, we see well being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces . Join Accenture to work at the heart of change. Visit us at .
Dec 10, 2025
Full time
Job Description Job Role: Data Science Manager Location: London Career Level: Manager Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. "Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and the communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO As a team We've been at the forefront of the Data and AI revolution and want you to help transform leading organisations and communities around the world. Accenture is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. Accenture's Data & AI practice covers the range of Data and AI skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Accenture's broader Strategy and Consulting practice, we are able to bring together the unique ability to drive end to end business change through the application of Data and AI. You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways. If you're looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll be working with cutting edge technologies and will have the opportunity to develop a wide range of new skills on the job. In our team you will learn At the forefront of the industry, you'll create, own and make it a reality for clients looking to better serve their connected customers and operate always on enterprises. Become an integral part of our Applied Intelligence team with the credibility, expertise and insight clients depend on. You will be working with famous brands and household names - no worrying about how to explain what you do to your family again! In this role you will Lead, motivate and inspire teams of Data Scientists Create bespoke machine learning solutions to model/solve problems and to help develop the team Solve challenging business problems using advanced machine learning methods such as Deep Learning and quantitative analytics Understand business requirements and support the development of business cases Run discovery analytics to identify new and innovative opportunities Partner with developers and engineers to deploy, embed and scale machine learning models to deliver complex/critical projects Devise reusable assets, solutions and develop best practices for current and future business problems Lead analytical discussions and influence analytical direction of client's teams Communicate and provide guidance to senior client leadership and teams Contribute data science expertise to new sales activities Qualification We are looking for experience in the following skills: Relevant work experience in data science, machine learning, and business analytics Practical experience in coding language - e.g., Python, R, Scala, etc. (Python preferred) Strong proficiency in database technologies - e.g., SQL, ETL, No SQL, DW, and Big Data technologies - e.g., PySpark, Hive, etc. Experienced working with structured and also unstructured data - e.g., Text, PDFs, jpgs, call recordings, video, etc. Knowledge of machine learning modelling techniques and how to fine tune those models - e.g., XGBoost, Deep Neural Networks, Transformers, ResNets, VAEs, GANs, Markov chains, etc. Experience using specialized machine learning libraries - e.g., Fastai, Keras, Tensorflow, pytorch, sci kit learn, huggingface, etc. Must demonstrate the capacity of reading, understanding and implementing new techniques in the field of machine learning as they emerge. Experience of using Cloud technologies - e.g., AWS, GCP or Azure Specialized visualisation techniques - e.g., D3.js, ggplot, etc. Strong verbal/written communication & data presentation skills Set yourself apart Ability to lead large projects and drive through to completion Mastery of problem solving and solutioning Proven history and background in statistics/mathematics/macroeconomics What's in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 30 days' vacation per year, gym subsidy, private medical insurance and 3 extra days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first class services we are known for. Locations London Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process. About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other. We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work. At Accenture, we see well being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces . Join Accenture to work at the heart of change. Visit us at .
Ssc Recruitment Solutions Ltd
Machine Learning Operations Engineer
Ssc Recruitment Solutions Ltd Oxford, Oxfordshire
We are looking for an excellent ML Ops Engineer to join our research and development team. Key Responsibilities This opportunity is to join the ML Operations teams which supports the ML Development team in building leading-edge motion capture products through provisioning and maintaining a modern ML Operations stack. This stack covers data acquisition pipelines, data management and ML model training click apply for full job details
Dec 10, 2025
Full time
We are looking for an excellent ML Ops Engineer to join our research and development team. Key Responsibilities This opportunity is to join the ML Operations teams which supports the ML Development team in building leading-edge motion capture products through provisioning and maintaining a modern ML Operations stack. This stack covers data acquisition pipelines, data management and ML model training click apply for full job details
Data Science Engineer: Production-Ready Python
Dunnhumby
A leading data science company in Greater London seeks a professional to build analytical Python solutions. You'll develop reusable Python packages and create visual dashboards that support global products. We're looking for candidates with experience in machine learning techniques and data processing in big data environments, along with familiarity in CI/CD and DevOps. Enjoy flexible working hours and an inclusive work culture.
Dec 10, 2025
Full time
A leading data science company in Greater London seeks a professional to build analytical Python solutions. You'll develop reusable Python packages and create visual dashboards that support global products. We're looking for candidates with experience in machine learning techniques and data processing in big data environments, along with familiarity in CI/CD and DevOps. Enjoy flexible working hours and an inclusive work culture.
Customer Success Manager
Constructor
About You You're a jack-of-all-trades with a passion for cool technology and interacting with people and making them happy. You're a self-starter who's good at triaging problems and working on the most important one. You've worked directly with customers for a long time and are comfortable being the face of the company to them. One of the things that pleases you most in life is customers successfully using your product, being thrilled with its value, and telling you they're happy they partnered with you. Further, you're a curious person, and you'd love the opportunity to work with a technology team that includes data scientists, algorithm experts, back-end and front-end engineers to expand your knowledge. About Us Constructor.io powers product search and discovery for some of the largest retailers in the world. We serve billions of requests every week, and you've probably seen our results somewhere and used our product without knowing it. We differentiate ourselves by focusing on metrics over features, and reinventing search and discovery from the ground up as a machine learning challenge with the specific goal of improving metrics like revenue. We're approximately doubling year over year despite the market slow down and have customers in every eCommerce vertical. We're a passionate team of technologists who love solving problems and want to make our customers' and coworkers' lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they think is best can lead to great things. We're a passionate team of technologists who love solving problems and want to make our customers' and coworkers' lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they think is best can lead to great things. About the Position As a Customer Success Manager, you'll be joining a rapidly growing team that helps our customers increase their revenue by improving the search and product discovery experiences of their websites and mobile apps through integrating with our services. Your specific responsibilities will include: Repaying our customers' trust through ensuring they get live with our product and are thrilled with the results Understand the needs and roles within the enterprise organizations we work with and help to manage prioritizations and misalignments. If two people within a customer ask for different things, your team must understand how to prioritize for the success of the organization without hurting feelings Helping craft and dictate both internal and external narratives for what's needed to make a customer successful Effectively asking for and managing engineering time to ensure important work for customers is prioritized and unimportant requests are resolved with minimal to no engineering resources Fielding and troubleshooting customer support requests Creating and updating customer documentation and training materials as needed Always looking for new ways you can make our integration process more robust and make customers feel even more successful A minimum of three years professional experience dealing directly with customers and large organizations in a role within customer success, technical account management, or solutions consulting Excellent communication and interpersonal skills Know what an API is and have interacted with them before Excellent ability to quickly understand the different roles in an organization, focus on the ones most important to a task, and craft clear narrative to get people behind your ideas Ability to convince and motivate those around you to do what you know is right Enjoy interacting with customers and solving new problems daily Ability and desire to learn quickly, think outside the box, and come up with solutions to problem Located in EMEA Preferably fluent in German A competitive compensation package including stock options Fully remote team - choose where you live Work from home stipend! We want you to have the resources you need to set up your home office Apple laptops provided for new employees Training and development budget for every employee, refreshed each year Parental leave for qualified employees Work with smart people who will help you grow and make a meaningful impact Diversity, Equity, and Inclusion at Constructor At Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group.
Dec 10, 2025
Full time
About You You're a jack-of-all-trades with a passion for cool technology and interacting with people and making them happy. You're a self-starter who's good at triaging problems and working on the most important one. You've worked directly with customers for a long time and are comfortable being the face of the company to them. One of the things that pleases you most in life is customers successfully using your product, being thrilled with its value, and telling you they're happy they partnered with you. Further, you're a curious person, and you'd love the opportunity to work with a technology team that includes data scientists, algorithm experts, back-end and front-end engineers to expand your knowledge. About Us Constructor.io powers product search and discovery for some of the largest retailers in the world. We serve billions of requests every week, and you've probably seen our results somewhere and used our product without knowing it. We differentiate ourselves by focusing on metrics over features, and reinventing search and discovery from the ground up as a machine learning challenge with the specific goal of improving metrics like revenue. We're approximately doubling year over year despite the market slow down and have customers in every eCommerce vertical. We're a passionate team of technologists who love solving problems and want to make our customers' and coworkers' lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they think is best can lead to great things. We're a passionate team of technologists who love solving problems and want to make our customers' and coworkers' lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they think is best can lead to great things. About the Position As a Customer Success Manager, you'll be joining a rapidly growing team that helps our customers increase their revenue by improving the search and product discovery experiences of their websites and mobile apps through integrating with our services. Your specific responsibilities will include: Repaying our customers' trust through ensuring they get live with our product and are thrilled with the results Understand the needs and roles within the enterprise organizations we work with and help to manage prioritizations and misalignments. If two people within a customer ask for different things, your team must understand how to prioritize for the success of the organization without hurting feelings Helping craft and dictate both internal and external narratives for what's needed to make a customer successful Effectively asking for and managing engineering time to ensure important work for customers is prioritized and unimportant requests are resolved with minimal to no engineering resources Fielding and troubleshooting customer support requests Creating and updating customer documentation and training materials as needed Always looking for new ways you can make our integration process more robust and make customers feel even more successful A minimum of three years professional experience dealing directly with customers and large organizations in a role within customer success, technical account management, or solutions consulting Excellent communication and interpersonal skills Know what an API is and have interacted with them before Excellent ability to quickly understand the different roles in an organization, focus on the ones most important to a task, and craft clear narrative to get people behind your ideas Ability to convince and motivate those around you to do what you know is right Enjoy interacting with customers and solving new problems daily Ability and desire to learn quickly, think outside the box, and come up with solutions to problem Located in EMEA Preferably fluent in German A competitive compensation package including stock options Fully remote team - choose where you live Work from home stipend! We want you to have the resources you need to set up your home office Apple laptops provided for new employees Training and development budget for every employee, refreshed each year Parental leave for qualified employees Work with smart people who will help you grow and make a meaningful impact Diversity, Equity, and Inclusion at Constructor At Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group.
Redline Group Ltd
Senior ML Research Engineer - Speech/Audio/Gen-AI
Redline Group Ltd
A Senior ML Research Engineer is sought to join an innovative AI research team in Surrey, contributing to the development of advanced AI models and algorithms for speech, audio, and generative AI applications. The Senior ML Research Engineer in Surrey, will be expected to expand their expertise in machine learning and audio/speech processing, learning from peers and senior engineers while applying click apply for full job details
Dec 10, 2025
Full time
A Senior ML Research Engineer is sought to join an innovative AI research team in Surrey, contributing to the development of advanced AI models and algorithms for speech, audio, and generative AI applications. The Senior ML Research Engineer in Surrey, will be expected to expand their expertise in machine learning and audio/speech processing, learning from peers and senior engineers while applying click apply for full job details
Senior Machine Learning Scientist (User Modelling/Representation Learning) - Viator
TripAdvisor LLC City, London
London, England, United Kingdom About Viator Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believethat making memories is what travel is all about. And with 300,000+ travel experiences toexplore-everything from simple tours to extreme adventures (and all the niche, interesting stuffin between)-making memories that will last a lifetime has never been easier. With industry-leading flexibility and last minute availability, it's never too late to make any day extraordinary.Viator. One app, 300,000+ travel experiences you'll remember. Perks of Working at Viator Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonus. "Work your way" with flexibility to suit your lifestyle. Viator takes a remote friendly approach to collaboration across a worldwide team, with the option to join on site as often as you'd like. Flexible schedule. Work life balance is ingrained in our culture by design. Trust and accountability make it work. Donation matching. Give back? Give more! We match qualifying charitable donations annually. Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs. Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. Travel perks. We believe that travel is employee development, so we provide discounts and more. Employee assistance program. We're here for you with resources and programs to help you through life's challenges. Health benefits. We offer great coverage and competitive premiums. Our Values We aspire to lead. Tap into your talent, ambition, and knowledge to bring us - and you - to new heights. We're relentlessly curious. We push beyond the usual, the known, the "that's just how it's done." We're better together. We learn from, accept, respect, support, and value one another- and are creating something remarkable in the process. We serve our customers, always. We listen, question, respond, and strive for wow moments. We strive for better, not perfect. We won't get it right the first time - or every time. We'll provide a safe environment in which to make mistakes, iterate, improve, and grow. Our workplace is for everyone, as is our people powered platform. At Tripadvisor, we want you to bring your unique identities, abilities, and experiences, so we can collectively revolutionize travel and together find the good out there. You will work on: The Representation Learning team's charter is to enable embedding latent representations of entities across our platform. The unique challenges/ opportunities that you would help tackle are embedding entities to understand user behavior across multi touch fragmented journeys in a continuous cold start setting. Get to work on Knowledge Graph Embeddings, Auto Encoders, Attention etc to enable representing Users and Experiences in a common latent space with application across multiple downstream tasks like Search, Ranking, Notifications etc. Design, code, experiment and implement models and algorithms to enhance customer satisfaction, increase supplier value, optimize business results, and ensure infrastructure efficiency. Collaborate with product managers and various business stakeholders to ensure top quality outcomes to meet internal objectives. Investigate and adopt innovative concepts that offer tangible benefits. To be successful in the role, you'll need: 5+ years of hands on data science experience. In depth knowledge of AI/ML/DL, Statistics, and related open source libraries. Awareness of current ML techniques, keen on self improvement and striving to solve real world data challenges. Strong skills in SQL and at least one programming language. To be comfortable in code reviews, discussing architecture, and collaborating with a multidisciplinary team for regular model deployments. Experience in deploying online solutions and analysing real time results through A/B testing. To be passionate about mentoring junior members of the team, and have a strong desire to help us perform to the best of our ability. Leadership qualities, autonomy, and team collaboration skills. Clear communication skills, awareness of the audience, and proactive sharing of findings. Actively involved in business networking and able to communicate complex ideas across the business simply and effectively. Desired qualifications: Master's or PhD in Computer Science, Operations Research, Statistics, or related quantitative disciplines. Knowledge in (any or all) User Modelling, Representation Learning, RecSys, Large Language Models (LLM) Prior experience in e commerce or at an Online Travel Agency. Job Location: This role can be on site hybrid working or a remote position in the UK or Poland. Occasional travel to company offices as necessary. If you need a reasonable accommodation or support during the application or the recruiting process due to a medical condition or disability, please reach out to your individual recruiter or send an email to and let us know the nature of your request.
Dec 10, 2025
Full time
London, England, United Kingdom About Viator Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believethat making memories is what travel is all about. And with 300,000+ travel experiences toexplore-everything from simple tours to extreme adventures (and all the niche, interesting stuffin between)-making memories that will last a lifetime has never been easier. With industry-leading flexibility and last minute availability, it's never too late to make any day extraordinary.Viator. One app, 300,000+ travel experiences you'll remember. Perks of Working at Viator Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonus. "Work your way" with flexibility to suit your lifestyle. Viator takes a remote friendly approach to collaboration across a worldwide team, with the option to join on site as often as you'd like. Flexible schedule. Work life balance is ingrained in our culture by design. Trust and accountability make it work. Donation matching. Give back? Give more! We match qualifying charitable donations annually. Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs. Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. Travel perks. We believe that travel is employee development, so we provide discounts and more. Employee assistance program. We're here for you with resources and programs to help you through life's challenges. Health benefits. We offer great coverage and competitive premiums. Our Values We aspire to lead. Tap into your talent, ambition, and knowledge to bring us - and you - to new heights. We're relentlessly curious. We push beyond the usual, the known, the "that's just how it's done." We're better together. We learn from, accept, respect, support, and value one another- and are creating something remarkable in the process. We serve our customers, always. We listen, question, respond, and strive for wow moments. We strive for better, not perfect. We won't get it right the first time - or every time. We'll provide a safe environment in which to make mistakes, iterate, improve, and grow. Our workplace is for everyone, as is our people powered platform. At Tripadvisor, we want you to bring your unique identities, abilities, and experiences, so we can collectively revolutionize travel and together find the good out there. You will work on: The Representation Learning team's charter is to enable embedding latent representations of entities across our platform. The unique challenges/ opportunities that you would help tackle are embedding entities to understand user behavior across multi touch fragmented journeys in a continuous cold start setting. Get to work on Knowledge Graph Embeddings, Auto Encoders, Attention etc to enable representing Users and Experiences in a common latent space with application across multiple downstream tasks like Search, Ranking, Notifications etc. Design, code, experiment and implement models and algorithms to enhance customer satisfaction, increase supplier value, optimize business results, and ensure infrastructure efficiency. Collaborate with product managers and various business stakeholders to ensure top quality outcomes to meet internal objectives. Investigate and adopt innovative concepts that offer tangible benefits. To be successful in the role, you'll need: 5+ years of hands on data science experience. In depth knowledge of AI/ML/DL, Statistics, and related open source libraries. Awareness of current ML techniques, keen on self improvement and striving to solve real world data challenges. Strong skills in SQL and at least one programming language. To be comfortable in code reviews, discussing architecture, and collaborating with a multidisciplinary team for regular model deployments. Experience in deploying online solutions and analysing real time results through A/B testing. To be passionate about mentoring junior members of the team, and have a strong desire to help us perform to the best of our ability. Leadership qualities, autonomy, and team collaboration skills. Clear communication skills, awareness of the audience, and proactive sharing of findings. Actively involved in business networking and able to communicate complex ideas across the business simply and effectively. Desired qualifications: Master's or PhD in Computer Science, Operations Research, Statistics, or related quantitative disciplines. Knowledge in (any or all) User Modelling, Representation Learning, RecSys, Large Language Models (LLM) Prior experience in e commerce or at an Online Travel Agency. Job Location: This role can be on site hybrid working or a remote position in the UK or Poland. Occasional travel to company offices as necessary. If you need a reasonable accommodation or support during the application or the recruiting process due to a medical condition or disability, please reach out to your individual recruiter or send an email to and let us know the nature of your request.
Business Intelligence Asc Director / Manager / Lead
Uniting Holding
About the job Our Mission: At WiiGroup, our mission is to revolutionise the AEC industry through innovative solutions, cutting edge technology, and a relentless focus on client satisfaction. We strive to exceed expectations, leverage digitalisation, and shape the future of construction globally. Through innovative solutions and cutting edge technologies. With a passionate team and a track record of delivering outstanding results on complex projects, we provide comprehensive customised services globally. From BIM and Digital Project Control to Immersive Reality and Data Analytics, our solutions push boundaries and set new standards. Join us as we shape the future of construction and create a world where innovation and efficiency thrive. Together, we will transform the way we build and inspire lasting change in the industry. Let's redefine what's possible in AEC. Our Competitive Advantage: Our company gains a competitive edge in the industry through digitalisation, embracing construction technology, and fostering innovative thinking. This enables us to deliver efficient, groundbreaking solutions and stay at the forefront of the rapidly evolving AEC landscape. Innovation and pushing boundaries are paramount in the construction industry. By embracing new ideas, technologies, and methodologies, we drive progress, deliver exceptional results, and shape the future of construction. Start-up Environment: Are you tired of doing the same old same old on every project? At WiiGroup, we are seeking like minded creative professionals to join our team and drive our company's direction and culture. We offer exciting opportunities to work on projects while pushing the boundaries of innovation and digitalisation in the construction industry. Join us and be part of shaping the future of construction. Job Summary We are hiring an Associate Director - Business Intelligence to lead strategic European client accounts. You will own digital and data transformation across multiple capital project portfolio, combining strategy, delivery, and technical assurance to drive measurable value for both WiiGroup and the clients. In this role you will: Own the end to end delivery of complex digital and data initiatives for strategic clients, ensuring alignment with WiiGroup's growth objectives and the client's strategic outcomes. Provide senior leadership across digital project delivery, data and analytics solutions, and platform implementations (e.g. Microsoft Fabric, Azure, Power BI, Power Platform). Define and drive the digital transformation strategy for the client account, building trusted relationships at executive and project levels. Champion WiiGroup's capabilities (Project Management, BIM, Lean, Data Analytics, Power Platform), identifying opportunities to expand scope and create long term value. Lead the planning, execution, and delivery of digital projects, including data platforms, business intelligence solutions, and workflow automation. Ensure all digital and data deliverables are fit for purpose, user centred, on time and within budget. Provide technical assurance and direction for data architectures and analytics solutions on Azure / Fabric, Power BI, and Power Platform. Work with technical teams to design and implement reporting, dashboarding, and data integration that support project controls, portfolio reporting, and executive decision making. Oversee data pipelines and integrations with project and programme tools (e.g. ACC, EcoSys, InEight, Oracle Aconex, Planview, Planisware, Unifier), ensuring strong data governance and quality. Set up and lead governance forums, steering committees, and performance reviews with WiiGroup and client leadership. Evaluate project and programme outcomes, embedding lessons learnt and continuous improvement. Support WiiGroup's growth by shaping propositions, contributing to bids, proposals, and client presentations. Cultivate and deepen client relationships, acting as a trusted advisor across the wider organisation. Mentor and develop WiiGroup team members, fostering a high performance, inclusive, learning focused culture. Contribute to internal standards, playbooks, templates, and knowledge sharing. Our Ideal Candidate You are a strategic digital and data leader who: Is comfortable operating at executive level while engaging in technical detail when required. Understands construction or infrastructure project lifecycles (procurement, design, construction, commissioning, handover). Can translate complex data and technology topics into clear, outcome focused language for non technical stakeholders. Thrives in a fast paced consultancy, balancing client leadership, solution shaping, delivery oversight, and team development. Brings a commercial mindset, spotting opportunities to grow accounts and create long term value. Experience Required 10+ years' experience delivering complex digital, data, or technology enabled projects, including 5+ years in a senior leadership/director role. Strong background in the construction or infrastructure industry. Proven track record leading data and analytics initiatives (e.g. reporting platforms, data warehouses, integrated project controls dashboards). Bachelor's degree (or higher) in a STEM or related discipline (Engineering, Maths, Computer Science, Data, Construction Management). Professional project management qualification (e.g. PMP, PRINCE2, Agile/SAFe) or equivalent experience. Technical & Delivery Skills Hands on experience in Business Intelligence and data reporting (ideally Power BI). Experience designing or implementing data architectures on Microsoft Azure / Microsoft Fabric. Strong SQL and/or Python skills. Practical experience with Agile and Waterfall delivery, comfortable in hybrid environments. Familiarity with project and portfolio systems such as ACC, EcoSys, InEight, Oracle Aconex, Planview, Planisware, Unifier (or similar). Exposure to Power Apps, Power Automate, Power Pages, and Microsoft 365 collaboration tools (Teams, SharePoint). Understanding of Azure services such as Data Lake, Synapse, Databricks, Azure Machine Learning; Fabric for end to end analytics desirable. Awareness of AI enabled tooling (e.g. Copilot / Gemini) is an advantage. Leadership & Interpersonal Skills Proven ability to lead, motivate, and develop cross functional teams across multiple locations. Excellent stakeholder and client management, including C suite engagement. Strong communication, facilitation, and problem solving skills, with the ability to work independently and take ownership. What's On Offer Joining WiiGroup means you get to work with creative professionals who want to push the boundaries of innovation digitalisation. By doing so you will be gaining access to a range of benefits designed to support your personal and professional growth. These include: 25 Days Holidays to recharge and explore Pension Scheme to secure your future Health Cover to prioritise your well being Modern Tech Style Office Career Development in innovation technology Standing Desks with an ergonomic focus Educational Assistance to support your career Wellness Programs; focus on mental physical well being Next Steps If you're ready to embark on an exciting journey with WiiGroup, we encourage you to submit an application or submit your CV to . Join our forward thinking team and be at the forefront of revolutionising the digital project management landscape in AEC. By submitting your application for this position, you acknowledge and agree to the collection, processing, and storage of your personal information by WiiGroup for the sole purpose of the recruitment process. This includes reviewing your application, assessing your qualifications, and contacting you for potential interviews. Your information will be handled with utmost confidentiality and used solely for recruitment related purposes. If you have any concerns or wish to withdraw your application, please contact us at .
Dec 10, 2025
Full time
About the job Our Mission: At WiiGroup, our mission is to revolutionise the AEC industry through innovative solutions, cutting edge technology, and a relentless focus on client satisfaction. We strive to exceed expectations, leverage digitalisation, and shape the future of construction globally. Through innovative solutions and cutting edge technologies. With a passionate team and a track record of delivering outstanding results on complex projects, we provide comprehensive customised services globally. From BIM and Digital Project Control to Immersive Reality and Data Analytics, our solutions push boundaries and set new standards. Join us as we shape the future of construction and create a world where innovation and efficiency thrive. Together, we will transform the way we build and inspire lasting change in the industry. Let's redefine what's possible in AEC. Our Competitive Advantage: Our company gains a competitive edge in the industry through digitalisation, embracing construction technology, and fostering innovative thinking. This enables us to deliver efficient, groundbreaking solutions and stay at the forefront of the rapidly evolving AEC landscape. Innovation and pushing boundaries are paramount in the construction industry. By embracing new ideas, technologies, and methodologies, we drive progress, deliver exceptional results, and shape the future of construction. Start-up Environment: Are you tired of doing the same old same old on every project? At WiiGroup, we are seeking like minded creative professionals to join our team and drive our company's direction and culture. We offer exciting opportunities to work on projects while pushing the boundaries of innovation and digitalisation in the construction industry. Join us and be part of shaping the future of construction. Job Summary We are hiring an Associate Director - Business Intelligence to lead strategic European client accounts. You will own digital and data transformation across multiple capital project portfolio, combining strategy, delivery, and technical assurance to drive measurable value for both WiiGroup and the clients. In this role you will: Own the end to end delivery of complex digital and data initiatives for strategic clients, ensuring alignment with WiiGroup's growth objectives and the client's strategic outcomes. Provide senior leadership across digital project delivery, data and analytics solutions, and platform implementations (e.g. Microsoft Fabric, Azure, Power BI, Power Platform). Define and drive the digital transformation strategy for the client account, building trusted relationships at executive and project levels. Champion WiiGroup's capabilities (Project Management, BIM, Lean, Data Analytics, Power Platform), identifying opportunities to expand scope and create long term value. Lead the planning, execution, and delivery of digital projects, including data platforms, business intelligence solutions, and workflow automation. Ensure all digital and data deliverables are fit for purpose, user centred, on time and within budget. Provide technical assurance and direction for data architectures and analytics solutions on Azure / Fabric, Power BI, and Power Platform. Work with technical teams to design and implement reporting, dashboarding, and data integration that support project controls, portfolio reporting, and executive decision making. Oversee data pipelines and integrations with project and programme tools (e.g. ACC, EcoSys, InEight, Oracle Aconex, Planview, Planisware, Unifier), ensuring strong data governance and quality. Set up and lead governance forums, steering committees, and performance reviews with WiiGroup and client leadership. Evaluate project and programme outcomes, embedding lessons learnt and continuous improvement. Support WiiGroup's growth by shaping propositions, contributing to bids, proposals, and client presentations. Cultivate and deepen client relationships, acting as a trusted advisor across the wider organisation. Mentor and develop WiiGroup team members, fostering a high performance, inclusive, learning focused culture. Contribute to internal standards, playbooks, templates, and knowledge sharing. Our Ideal Candidate You are a strategic digital and data leader who: Is comfortable operating at executive level while engaging in technical detail when required. Understands construction or infrastructure project lifecycles (procurement, design, construction, commissioning, handover). Can translate complex data and technology topics into clear, outcome focused language for non technical stakeholders. Thrives in a fast paced consultancy, balancing client leadership, solution shaping, delivery oversight, and team development. Brings a commercial mindset, spotting opportunities to grow accounts and create long term value. Experience Required 10+ years' experience delivering complex digital, data, or technology enabled projects, including 5+ years in a senior leadership/director role. Strong background in the construction or infrastructure industry. Proven track record leading data and analytics initiatives (e.g. reporting platforms, data warehouses, integrated project controls dashboards). Bachelor's degree (or higher) in a STEM or related discipline (Engineering, Maths, Computer Science, Data, Construction Management). Professional project management qualification (e.g. PMP, PRINCE2, Agile/SAFe) or equivalent experience. Technical & Delivery Skills Hands on experience in Business Intelligence and data reporting (ideally Power BI). Experience designing or implementing data architectures on Microsoft Azure / Microsoft Fabric. Strong SQL and/or Python skills. Practical experience with Agile and Waterfall delivery, comfortable in hybrid environments. Familiarity with project and portfolio systems such as ACC, EcoSys, InEight, Oracle Aconex, Planview, Planisware, Unifier (or similar). Exposure to Power Apps, Power Automate, Power Pages, and Microsoft 365 collaboration tools (Teams, SharePoint). Understanding of Azure services such as Data Lake, Synapse, Databricks, Azure Machine Learning; Fabric for end to end analytics desirable. Awareness of AI enabled tooling (e.g. Copilot / Gemini) is an advantage. Leadership & Interpersonal Skills Proven ability to lead, motivate, and develop cross functional teams across multiple locations. Excellent stakeholder and client management, including C suite engagement. Strong communication, facilitation, and problem solving skills, with the ability to work independently and take ownership. What's On Offer Joining WiiGroup means you get to work with creative professionals who want to push the boundaries of innovation digitalisation. By doing so you will be gaining access to a range of benefits designed to support your personal and professional growth. These include: 25 Days Holidays to recharge and explore Pension Scheme to secure your future Health Cover to prioritise your well being Modern Tech Style Office Career Development in innovation technology Standing Desks with an ergonomic focus Educational Assistance to support your career Wellness Programs; focus on mental physical well being Next Steps If you're ready to embark on an exciting journey with WiiGroup, we encourage you to submit an application or submit your CV to . Join our forward thinking team and be at the forefront of revolutionising the digital project management landscape in AEC. By submitting your application for this position, you acknowledge and agree to the collection, processing, and storage of your personal information by WiiGroup for the sole purpose of the recruitment process. This includes reviewing your application, assessing your qualifications, and contacting you for potential interviews. Your information will be handled with utmost confidentiality and used solely for recruitment related purposes. If you have any concerns or wish to withdraw your application, please contact us at .
Spectrum IT Recruitment
Software Development Team Lead
Spectrum IT Recruitment Bracknell, Berkshire
Software Development Team Lead Software Development Team Lead required by a leading global Cloud Technology company based in Bracknell. The company are working on cutting-edge technology including AI and propensity modelling. The Software Development Team Lead will be responsible for the software engineering output of the team. This will be a leadership role however the successful Software Development Team Lead will also be expected to be hands-on writing code when required, as well as designing architecture. Therefore the successful candidate will have strong hands-on coding knowledge. The company are happy to consider a Senior/Lead Developer who is looking to step up into more of a leadership role. They operate on a hybrid model which involves 3 days in the office and 2 days from home. Essential experience: Degree in STEM subject from a Russell Group or Red Brick University Experience leading software development teams Knowledge of either C# or React Strong experience with SQL Source control, ideally Git Agile Any experience in the following would be advantageous: Latest versions of .NET AI, Machine Learning JavaScript, TypeScript and associated frameworks Containers, Docker, Kubernetes NoSQL Test tools such as xUnit, Cypress, Selenium, Jest, SoapUI This is an exciting opportunity to join a rapidly expanding company using the latest tools and technologies. If you are looking for a role of this nature, please contact (url removed) or call (phone number removed). Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
Dec 10, 2025
Full time
Software Development Team Lead Software Development Team Lead required by a leading global Cloud Technology company based in Bracknell. The company are working on cutting-edge technology including AI and propensity modelling. The Software Development Team Lead will be responsible for the software engineering output of the team. This will be a leadership role however the successful Software Development Team Lead will also be expected to be hands-on writing code when required, as well as designing architecture. Therefore the successful candidate will have strong hands-on coding knowledge. The company are happy to consider a Senior/Lead Developer who is looking to step up into more of a leadership role. They operate on a hybrid model which involves 3 days in the office and 2 days from home. Essential experience: Degree in STEM subject from a Russell Group or Red Brick University Experience leading software development teams Knowledge of either C# or React Strong experience with SQL Source control, ideally Git Agile Any experience in the following would be advantageous: Latest versions of .NET AI, Machine Learning JavaScript, TypeScript and associated frameworks Containers, Docker, Kubernetes NoSQL Test tools such as xUnit, Cypress, Selenium, Jest, SoapUI This is an exciting opportunity to join a rapidly expanding company using the latest tools and technologies. If you are looking for a role of this nature, please contact (url removed) or call (phone number removed). Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
Zero Surplus
Senior RF Data Scientist / Research Engineer
Zero Surplus Saffron Walden, Essex
We are working with a high-growth AI technology company in the Greater Cambridge area who are seeking a Senior RF Data Scientist / Research Engineer to work at the intersection of RF hardware, digital signal processing, and machine learning. This is a hands-on R&D role ideally suited to engineers and scientists who enjoy fast-paced prototyping, complex problem-solving, and developing cutting-edge UAV/drone detection technologies. In this role, you will analyse complex RF data from software-defined radios (SDRs), develop advanced signal-processing pipelines, and contribute directly to the design and testing of novel sensing systems. You will be responsible for extracting and classifying RF signal features from raw IQ data, building diagnostic tools to characterise RF signals, and designing data-processing pipelines that account for real-world hardware constraints such as bandwidth limitations, ADC performance, and timing jitter. You will also model RF front-end behaviour, improving signal integrity and inference accuracy, and apply machine learning and statistical models for classification, anomaly detection, and emitter identification. You will prototype real-time and batch-processing systems using Python (NumPy, SciPy, PyTorch) and integrate them with frameworks such as GNU Radio, ZMQ, or C++ backends. The role involves leading RF data collection, field experiments, and over-the-air testing with drones, wireless devices, and custom transmitters. Collaboration across engineering and research teams is central, and you will contribute to both experimental design and iterative R&D development. The ideal candidate will have strong Python proficiency for data analysis and prototyping, a solid understanding of digital signal processing (FFT, filtering, modulation, correlation, resampling, and noise modelling), and familiarity with SDR frameworks such as GNU Radio, SDRangel, osmoSDR, or SoapySDR. A practical understanding of RF hardware chains - from antenna through filters, mixers, and ADCs - and their impact on baseband data is essential. You should also be comfortable debugging SDR setups, performing field-based RF data collection, and analysing wireless protocols such as Wi-Fi, LTE, and LoRa. Strong communication skills and the ability to work iteratively in a research-focused environment are essential. Experience with SDR hardware (bladeRF, HackRF, USRP, PlutoSDR), RF lab equipment (spectrum analysers, VNAs, signal generators), embedded or real-time systems, beamforming, passive radar, or antenna array design is highly desirable. Knowledge of RF circuit fundamentals, FPGA or GPU acceleration, and prior publications, patents, or open-source RF/ML contributions are also beneficial but not essential. This is a full-time role based in Saffron Walden / Greater Cambridge, with flexibility for onsite or hybrid working depending on project needs. You will join a dynamic Research & Prototyping team, directly influencing early-stage hardware-software product development and shaping the next generation of AI-driven sensing technologies. If you are an experienced RF data scientist or research engineer looking for a hands-on role at the cutting edge of RF, signal processing, and machine learning, we would love to hear from you. Zero Surplus is one of the UK's premier recruitment agencies, based just outside Cambridge our recruiters source staff for small and international businesses across Suffolk, Essex, Hertfordshire, Northants, Milton Keynes, Cambridgeshire, and the rest of the UK. For registration purposes, please let us know where you are currently based or which locations you are considering as well as your required salary and notice period. Please upload a Microsoft Word version of your CV where possible, excluding text boxes or images. Any data we collect from you will be stored and processed in accordance with Zero Surplus' Privacy Policy.
Dec 10, 2025
Full time
We are working with a high-growth AI technology company in the Greater Cambridge area who are seeking a Senior RF Data Scientist / Research Engineer to work at the intersection of RF hardware, digital signal processing, and machine learning. This is a hands-on R&D role ideally suited to engineers and scientists who enjoy fast-paced prototyping, complex problem-solving, and developing cutting-edge UAV/drone detection technologies. In this role, you will analyse complex RF data from software-defined radios (SDRs), develop advanced signal-processing pipelines, and contribute directly to the design and testing of novel sensing systems. You will be responsible for extracting and classifying RF signal features from raw IQ data, building diagnostic tools to characterise RF signals, and designing data-processing pipelines that account for real-world hardware constraints such as bandwidth limitations, ADC performance, and timing jitter. You will also model RF front-end behaviour, improving signal integrity and inference accuracy, and apply machine learning and statistical models for classification, anomaly detection, and emitter identification. You will prototype real-time and batch-processing systems using Python (NumPy, SciPy, PyTorch) and integrate them with frameworks such as GNU Radio, ZMQ, or C++ backends. The role involves leading RF data collection, field experiments, and over-the-air testing with drones, wireless devices, and custom transmitters. Collaboration across engineering and research teams is central, and you will contribute to both experimental design and iterative R&D development. The ideal candidate will have strong Python proficiency for data analysis and prototyping, a solid understanding of digital signal processing (FFT, filtering, modulation, correlation, resampling, and noise modelling), and familiarity with SDR frameworks such as GNU Radio, SDRangel, osmoSDR, or SoapySDR. A practical understanding of RF hardware chains - from antenna through filters, mixers, and ADCs - and their impact on baseband data is essential. You should also be comfortable debugging SDR setups, performing field-based RF data collection, and analysing wireless protocols such as Wi-Fi, LTE, and LoRa. Strong communication skills and the ability to work iteratively in a research-focused environment are essential. Experience with SDR hardware (bladeRF, HackRF, USRP, PlutoSDR), RF lab equipment (spectrum analysers, VNAs, signal generators), embedded or real-time systems, beamforming, passive radar, or antenna array design is highly desirable. Knowledge of RF circuit fundamentals, FPGA or GPU acceleration, and prior publications, patents, or open-source RF/ML contributions are also beneficial but not essential. This is a full-time role based in Saffron Walden / Greater Cambridge, with flexibility for onsite or hybrid working depending on project needs. You will join a dynamic Research & Prototyping team, directly influencing early-stage hardware-software product development and shaping the next generation of AI-driven sensing technologies. If you are an experienced RF data scientist or research engineer looking for a hands-on role at the cutting edge of RF, signal processing, and machine learning, we would love to hear from you. Zero Surplus is one of the UK's premier recruitment agencies, based just outside Cambridge our recruiters source staff for small and international businesses across Suffolk, Essex, Hertfordshire, Northants, Milton Keynes, Cambridgeshire, and the rest of the UK. For registration purposes, please let us know where you are currently based or which locations you are considering as well as your required salary and notice period. Please upload a Microsoft Word version of your CV where possible, excluding text boxes or images. Any data we collect from you will be stored and processed in accordance with Zero Surplus' Privacy Policy.
Sky
Lead Machine Learning Engineer
Sky
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) caf s or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Dec 10, 2025
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) caf s or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Sky
Principal Data Scientist
Sky
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Data Science practice at Sky Data science is at the heart of decision making in Sky and drives a majority of decisions across marketing, customer interactions and customer services at Sky. In the Advanced Analytics team, w e are scaling up our data science practice to transform how we manage customers across all life cycles for both experience profitability. We have built and successfully deployed intelligence into Sky and are already delivering realisable value into the business. We gather a very large amount of data on customer behaviours and interactions and are looking for data scientists to extra ct value from our data assets and maximise customer value. What you'll do: Producing high quality, actionable insights through advanced analytics and cutting-edge predictive algorithms : work as a self-starter and be actively curious about what numbers are telling us and how they can be actioned upon to improve our customer experience . Designing and implementing innovative and commercially led data science and insights roadmaps with stakeholders (marketing, retention, service, finance) to improve the way they make decisions: hypotheses-led problem solving to deliver solutions to business problems . Engage with our technology teams and data engineers to build compliant, efficient and scalable solutions Strengthen our internal data science capabilities by continuously innovating and driving new ideas, building technology partnerships with our vendors, training and developing our people and creating a world class data science team at Sky Engage with key stakeholders (marketing, retention, service, finance) to understand business objectives and support these objectives through best use of advanced analytics approaches. Responsible for identifying the best analytical techniques, developing the solution, creating a fram ework for testing the solution and measuring the incremental value to the business from the solution What you'll bring: Expertise in multiple advanced analytical areas including Forecasting, Predictive Modelling, Optimisation, Clustering or NLP Experience building and deploying advanced analytics solutions in a large scale (preferably B2C) cloud environmen t Experience in deploying commercially viable applications using deep learning techniques combining structured and unstructured data is highly desirable Ability to quickly understand a business objective, problem solving to create an analytical solution and develop a solution alongside stakeholder s are essential Commercial knowledge and applications of data science to drive commercial value is a must - everything we do drives value into the business Proven expertise in leading the development and deployment of big data solutions on Cloud platforms (essential) Programming for modelling and/or data analysis e.g. Python, Tensorflow (essential) Database experience, preferably SQL (essential) Expertise in cutting-edge AI methodologies, including Generative AI and Reinforcement Learning Machine learning - Supervised/unsupervised learning, regression, decision trees, random forests, boosting, clustering (essential) The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Dec 10, 2025
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Data Science practice at Sky Data science is at the heart of decision making in Sky and drives a majority of decisions across marketing, customer interactions and customer services at Sky. In the Advanced Analytics team, w e are scaling up our data science practice to transform how we manage customers across all life cycles for both experience profitability. We have built and successfully deployed intelligence into Sky and are already delivering realisable value into the business. We gather a very large amount of data on customer behaviours and interactions and are looking for data scientists to extra ct value from our data assets and maximise customer value. What you'll do: Producing high quality, actionable insights through advanced analytics and cutting-edge predictive algorithms : work as a self-starter and be actively curious about what numbers are telling us and how they can be actioned upon to improve our customer experience . Designing and implementing innovative and commercially led data science and insights roadmaps with stakeholders (marketing, retention, service, finance) to improve the way they make decisions: hypotheses-led problem solving to deliver solutions to business problems . Engage with our technology teams and data engineers to build compliant, efficient and scalable solutions Strengthen our internal data science capabilities by continuously innovating and driving new ideas, building technology partnerships with our vendors, training and developing our people and creating a world class data science team at Sky Engage with key stakeholders (marketing, retention, service, finance) to understand business objectives and support these objectives through best use of advanced analytics approaches. Responsible for identifying the best analytical techniques, developing the solution, creating a fram ework for testing the solution and measuring the incremental value to the business from the solution What you'll bring: Expertise in multiple advanced analytical areas including Forecasting, Predictive Modelling, Optimisation, Clustering or NLP Experience building and deploying advanced analytics solutions in a large scale (preferably B2C) cloud environmen t Experience in deploying commercially viable applications using deep learning techniques combining structured and unstructured data is highly desirable Ability to quickly understand a business objective, problem solving to create an analytical solution and develop a solution alongside stakeholder s are essential Commercial knowledge and applications of data science to drive commercial value is a must - everything we do drives value into the business Proven expertise in leading the development and deployment of big data solutions on Cloud platforms (essential) Programming for modelling and/or data analysis e.g. Python, Tensorflow (essential) Database experience, preferably SQL (essential) Expertise in cutting-edge AI methodologies, including Generative AI and Reinforcement Learning Machine learning - Supervised/unsupervised learning, regression, decision trees, random forests, boosting, clustering (essential) The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Junior Quantitative Analyst - Horse Racing
Smartodds Limited
Junior Quantitative Analyst - Horse Racing We have a fantastic new opportunity to join our team at Smartodds as a Horse Racing Junior Quantitative Analyst. Based in North London, Smartodds provides in-depth research and analysis on sporting events around the world, supported by world-class, bespoke software platforms. We are proud of our collaborative and dynamic culture, grounded in our core values of Boldness, Open-mindedness, Ownership, and Togetherness. We are a supportive and collaborative team - our environment is open, inclusive, and focused on doing great work together. About the role As a member of the Quant Team, you will join an exciting environment, predicting outcomes of professional sports on behalf of our clients. We focus on football, baseball, basketball, cricket, tennis, American football, ice hockey, horse racing and golf. As a Horse Racing Junior Quant Analyst, you will assist more senior quant analysts with research on statistical models applied to horse racing, as well as support other areas, such as execution research and analysis, from time to time. You will also play a key role in developing and supporting the reliable production of high-quality predictions for our clients. We highly value the personal development of our team members; therefore, you will be able to allocate dedicated time to improve your skills and gain the necessary experience that will enable you to progress into more senior roles with increased autonomy over time. Assist the Team Head and/or Senior Quants in carrying out and executing the relevant research and model development projects Support Smartodds' clients in their pricing tasks by developing, maintaining and supporting The mathematical libraries behind our range of tools and models Software that delivers model predictions into production Perform statistical analysis of datasets, testing well-defined hypotheses and effectively communicating results to the various stakeholders, including Smartodds' clients Contribute to the development of our core programming libraries Attend at least one eventto support your professional development as a sports quant analyst on an annual basis: conferences, courses, meet-ups, networking events; in-person or remotely; on sports, statistics, machine learning, gambling, etc. Skills & Experiences Required MSc in Statistics or a related field (e.g., Data Science or Mathematics), or another field (such as Computer Science, Engineering, Finance, etc) with some experience in statistics A previous professional experience in a role with a strong statistical element, demonstrating skills beyond those acquired in your studies Experience with programming and a willingness to learn and work in R Demonstrated passion for working in sports modelling, evidenced by personal projects, MSc project in a related area or statistical analyses of sports or teams Strong interest in ongoing training and personal development Desire to learn new technologies and programming languages Ability to work in the UK Preferred A strong interest in horse racing, demonstrated by previous attempts to model outcomes or analyse data. Good understanding of sports betting markets An interest in and ability to understand statistical and machine-learning predictive models and libraries (GBM, Torch, CNN, LSTM, NLP, GNN, etc) Experience with any additional programming languages (Python, C++, Julia, ) Familiarity with database technologies, e.g., SQL, MongoDB, Redis, Postgres Experience with version control, code reviews and merge requests Experience with CI/CD, and test-driven development (TDD) From Day One 30 days holiday (in addition to bank & public holidays) In-house chef In-house masseuse Team sporting events 25% discount on Brentford Football Club merchandise Cycle to work scheme Employee Assistance Programme Interest-free travel season ticket loan Offsite trips Available on selected days After 3 Months Pension - Employer Contribution starting at 5.5%, and employee starting at 2.5% Income protection - 75% of salary (subject to terms & conditions) Private Medical Insurance - including coverage of any excess payment Life Assurance (4 x times earnings at time of death) Enhanced Company Sick Pay A discretionary annual bonus After 2 Years Increase in employer pension contributionto 6% (with a minimum employee contribution of 3%) Enhanced Maternity Pay Enhanced Paternity Pay After 4 Years Increase in employer pension contribution to 7% (with a minimum employee contribution of 3.5%) Smartodds is a privately-owned company providing statistical research and sports modelling services to customers, including professional gamblers and professional football teams. Our employees are based in North London with a number of consultants based globally. Founded in 2004, Smartodds has a proven record of providing exceptional services to its clients. We are a growing company and work in an exciting and fast-paced industry of which we are a market leader. Smartodds' achievements are built around the talents of its employees. We like to think that despite the diverse background of the people who work at Smartodds, there is one thing we have in common: commitment and job satisfaction. As part of a fantastic team, Smartodds' employees enjoy the opportunity to be the very best at what they do, contributing to the success of the company on a daily basis.
Dec 10, 2025
Full time
Junior Quantitative Analyst - Horse Racing We have a fantastic new opportunity to join our team at Smartodds as a Horse Racing Junior Quantitative Analyst. Based in North London, Smartodds provides in-depth research and analysis on sporting events around the world, supported by world-class, bespoke software platforms. We are proud of our collaborative and dynamic culture, grounded in our core values of Boldness, Open-mindedness, Ownership, and Togetherness. We are a supportive and collaborative team - our environment is open, inclusive, and focused on doing great work together. About the role As a member of the Quant Team, you will join an exciting environment, predicting outcomes of professional sports on behalf of our clients. We focus on football, baseball, basketball, cricket, tennis, American football, ice hockey, horse racing and golf. As a Horse Racing Junior Quant Analyst, you will assist more senior quant analysts with research on statistical models applied to horse racing, as well as support other areas, such as execution research and analysis, from time to time. You will also play a key role in developing and supporting the reliable production of high-quality predictions for our clients. We highly value the personal development of our team members; therefore, you will be able to allocate dedicated time to improve your skills and gain the necessary experience that will enable you to progress into more senior roles with increased autonomy over time. Assist the Team Head and/or Senior Quants in carrying out and executing the relevant research and model development projects Support Smartodds' clients in their pricing tasks by developing, maintaining and supporting The mathematical libraries behind our range of tools and models Software that delivers model predictions into production Perform statistical analysis of datasets, testing well-defined hypotheses and effectively communicating results to the various stakeholders, including Smartodds' clients Contribute to the development of our core programming libraries Attend at least one eventto support your professional development as a sports quant analyst on an annual basis: conferences, courses, meet-ups, networking events; in-person or remotely; on sports, statistics, machine learning, gambling, etc. Skills & Experiences Required MSc in Statistics or a related field (e.g., Data Science or Mathematics), or another field (such as Computer Science, Engineering, Finance, etc) with some experience in statistics A previous professional experience in a role with a strong statistical element, demonstrating skills beyond those acquired in your studies Experience with programming and a willingness to learn and work in R Demonstrated passion for working in sports modelling, evidenced by personal projects, MSc project in a related area or statistical analyses of sports or teams Strong interest in ongoing training and personal development Desire to learn new technologies and programming languages Ability to work in the UK Preferred A strong interest in horse racing, demonstrated by previous attempts to model outcomes or analyse data. Good understanding of sports betting markets An interest in and ability to understand statistical and machine-learning predictive models and libraries (GBM, Torch, CNN, LSTM, NLP, GNN, etc) Experience with any additional programming languages (Python, C++, Julia, ) Familiarity with database technologies, e.g., SQL, MongoDB, Redis, Postgres Experience with version control, code reviews and merge requests Experience with CI/CD, and test-driven development (TDD) From Day One 30 days holiday (in addition to bank & public holidays) In-house chef In-house masseuse Team sporting events 25% discount on Brentford Football Club merchandise Cycle to work scheme Employee Assistance Programme Interest-free travel season ticket loan Offsite trips Available on selected days After 3 Months Pension - Employer Contribution starting at 5.5%, and employee starting at 2.5% Income protection - 75% of salary (subject to terms & conditions) Private Medical Insurance - including coverage of any excess payment Life Assurance (4 x times earnings at time of death) Enhanced Company Sick Pay A discretionary annual bonus After 2 Years Increase in employer pension contributionto 6% (with a minimum employee contribution of 3%) Enhanced Maternity Pay Enhanced Paternity Pay After 4 Years Increase in employer pension contribution to 7% (with a minimum employee contribution of 3.5%) Smartodds is a privately-owned company providing statistical research and sports modelling services to customers, including professional gamblers and professional football teams. Our employees are based in North London with a number of consultants based globally. Founded in 2004, Smartodds has a proven record of providing exceptional services to its clients. We are a growing company and work in an exciting and fast-paced industry of which we are a market leader. Smartodds' achievements are built around the talents of its employees. We like to think that despite the diverse background of the people who work at Smartodds, there is one thing we have in common: commitment and job satisfaction. As part of a fantastic team, Smartodds' employees enjoy the opportunity to be the very best at what they do, contributing to the success of the company on a daily basis.
Adecco
Application Software Engineer - Degree, UI/UX, JavaScript
Adecco Cambridge, Cambridgeshire
Application Software Engineer (Mid level - Senior), Degree, UI/UX, JavaScript Location: Cambridge, UK (Hybrid) Salary: 35,000 - 55,000 (depending on experience) The Company Join a pioneering AI and machine learning software house, led by award-winning entrepreneurs and known for pushing the boundaries of innovation. You'll be part of a collaborative, high-calibre team working on impactful, real-world projects, leveraging cutting-edge technologies including modern JavaScript libraries and front-end frameworks. What We're Looking For Education & Skills - A 2:1 or higher in Computer Science, Engineering, Physics, or a related field from a top university. - AAB or higher at A-levels. - Strong mathematical and analytical thinking skills. - Excellent communication and teamwork abilities, happy to be in a team and share ideas. Technical Skills - Exceptional with one or more of the following: Programming: Node.js, Python, Java, JavaScript (React, Angular, Vue.js), JavaScript libraries (React, Angular, Vue.js) - Databases: PostgreSQL, Elasticsearch, Redis - A proactive, problem-solving mindset and eagerness to learn. - Some UI or UX design work - Ideally a competent programmer in Java or Python to a high level - Someone that has been involved both backend and front end could do very well here. Experience - The sweet spot for the Application Software Engineer position is someone with three to five years industry experience in a cutting edge tech company. - Passion for software engineering and a desire to build scalable, high-quality applications. The Role As an Application Software Engineer, you'll: - Contribute to the design, development, and implementation of software applications. - Collaborate with a diverse and talented team of engineers. - Learn from an experience team whilst sharing your own ideas. - Designing smart web based applications, chance to work end back and front end. Why Join Us? - Work with a globally respected AI software company. - Competitive salary and benefits. - Hybrid working model with a collaborative office culture in Cambridge. - Learn from top experts in AI and machine learning. - Clear progression path and opportunities to grow your career. Application Process - Submit a CV that highlights your academic achievements and relevant experience. - Initial discussions will take place before your application is submitted to the employer. Ready to take the next step in your software engineering career? Apply now! Adecco is acting as an Employment Agency. We are an equal opportunities employer.
Dec 10, 2025
Full time
Application Software Engineer (Mid level - Senior), Degree, UI/UX, JavaScript Location: Cambridge, UK (Hybrid) Salary: 35,000 - 55,000 (depending on experience) The Company Join a pioneering AI and machine learning software house, led by award-winning entrepreneurs and known for pushing the boundaries of innovation. You'll be part of a collaborative, high-calibre team working on impactful, real-world projects, leveraging cutting-edge technologies including modern JavaScript libraries and front-end frameworks. What We're Looking For Education & Skills - A 2:1 or higher in Computer Science, Engineering, Physics, or a related field from a top university. - AAB or higher at A-levels. - Strong mathematical and analytical thinking skills. - Excellent communication and teamwork abilities, happy to be in a team and share ideas. Technical Skills - Exceptional with one or more of the following: Programming: Node.js, Python, Java, JavaScript (React, Angular, Vue.js), JavaScript libraries (React, Angular, Vue.js) - Databases: PostgreSQL, Elasticsearch, Redis - A proactive, problem-solving mindset and eagerness to learn. - Some UI or UX design work - Ideally a competent programmer in Java or Python to a high level - Someone that has been involved both backend and front end could do very well here. Experience - The sweet spot for the Application Software Engineer position is someone with three to five years industry experience in a cutting edge tech company. - Passion for software engineering and a desire to build scalable, high-quality applications. The Role As an Application Software Engineer, you'll: - Contribute to the design, development, and implementation of software applications. - Collaborate with a diverse and talented team of engineers. - Learn from an experience team whilst sharing your own ideas. - Designing smart web based applications, chance to work end back and front end. Why Join Us? - Work with a globally respected AI software company. - Competitive salary and benefits. - Hybrid working model with a collaborative office culture in Cambridge. - Learn from top experts in AI and machine learning. - Clear progression path and opportunities to grow your career. Application Process - Submit a CV that highlights your academic achievements and relevant experience. - Initial discussions will take place before your application is submitted to the employer. Ready to take the next step in your software engineering career? Apply now! Adecco is acting as an Employment Agency. We are an equal opportunities employer.

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