Head of Engineering - Permanent A fast‑growing technology company is seeking a Head of Engineering with deep experience building and scaling complex, data‑driven platforms. This role requires someone who can lead multi‑disciplinary teams, improve engineering execution, and drive technical excellence across high‑scale distributed systems and machine‑learning environments. Required Experience Leadership of engineering organisations of 20 or more across multiple disciplines, including backend, web, data, ML, QA, and DevOps. Proven track record designing, scaling, and maintaining distributed systems and high‑volume data pipelines. Strong background in cloud‑native architectures and modern data stacks such as Spark or Databricks. Experience working closely with Data Science teams, including delivering production‑grade ML models and pipelines. Solid understanding of modern frontend engineering practices (e.g., TypeScript, React) to guide cross‑functional technical decisions. Robust DevOps knowledge, including CI/CD pipelines, container orchestration, monitoring, reliability engineering, and cloud infrastructure management (AWS preferred). Demonstrated ability to balance delivery speed with long‑term technical quality, reliability, and maintainability. Experience hiring, mentoring, and developing engineering leaders and high‑performing teams. Role Overview You will own engineering execution for a platform that processes large datasets, supports distributed computation, and integrates machine‑learning capabilities at scale. The engineering organisation already uses AI‑assisted development, and you will refine these practices, improve delivery predictability, and strengthen the technical foundation for long‑term growth. Responsibilities Lead the engineering roadmap and technical execution across all product and platform teams. Guide architectural decisions in data engineering, ML, and web application development. Implement engineering KPIs to improve delivery speed, quality, and reliability. Develop a strong engineering culture centred on ownership, collaboration, and high performance. Partner with Product, Data Science, and DevOps to deliver high‑quality, scalable solutions. Manage engineering budgets, tooling, and cloud infrastructure costs. Preferred Experience in search, advertising technology, or competitive intelligence. Familiarity with ML lifecycle tooling and agentic coding approaches. Please send me a copy of your CV if you meet all of the above. #J-18808-Ljbffr

Machine Learning Engineer page is loaded## Machine Learning Engineerlocations: UK_London2posted on: Posted Todayjob requisition id: REQ25-1060About InterDigitalInterDigital is a global research and development company focused primarily on wireless, video, artificial intelligence (“AI”), and related technologies. We design and develop foundational technologies that enable connected, immersive experiences in a broad range of communications and entertainment products and services. We license our innovations worldwide to companies providing such products and services, including makers of wireless communications devices, consumer electronics, IoT devices, cars and other motor vehicles, and providers of cloud-based services such as video streaming. As a leader in wireless technology, our engineers have designed and developed a wide range of innovations that are used in wireless products and networks, from the earliest digital cellular systems to 5G and today’s most advanced Wi-Fi technologies. We are also a leader in video processing and video encoding/decoding technology, with a significant AI research effort that intersects with both wireless and video technologies. Founded in 1972, InterDigital is listed on Nasdaq. InterDigital is a registered trademark of InterDigital, Inc.For more information, visit:The TeamThe Research & Innovation (R&I) team at InterDigital includes more than 250 researchers and engineers with world-class expertise in AI, wireless communications, and visual technologies. Our culture values technology expertise and an entrepreneurial mindset. Within R&I, the London Video Team is leading efforts in machine learning and deep learning to build the next generation of AI driven video compression models. We are seeking a machine learning engineer who will work to research, design, implement and optimize these models for efficient deployment. You are a machine learning engineer with deep expertise in model optimization and compilation and strong software engineering skills. You have built and optimized deep learning models in PyTorch, including compile and export workflows, and you are comfortable working with research code, consolidating and improving it for scalable training and deployment.Key Qualifications Excellent understanding and experience in deep learning model development, optimization and deployment (PyTorch, Torch compile, export workflows such as Torch Export and ONNX, performance profiling) Strong software engineering skills and experience building robust ML codebases* Expert in Python, with additional experience in C++ or another systems language a plus* Experience with GPU based training and inference, and familiarity with performance optimization for accelerators* Experience building production grade ML systems or research prototypes that have been used by others* Publications, patents, or significant open-source contributions in relevant areas are a plus* 3+ years of relevant experience in machine learning, deep learning, or closely related fields* Bachelor or Master (PhD a plus) in Machine Learning, Computer Science, or a related fieldResponsibilities Work with InterDigital researchers and engineers in the London Video Team and across R&I to understand requirements and provide ML-based technical solutions for video compression and video coding Research, prototype and evaluate novel neural architectures for AI-based video compression and next generation video coding models* Produce high quality research outputs and patentable innovations in AI-based video compression and video coding, working closely with internal IP teams to capture and protect novel ideas* Own model optimization and compilation workflows, including PyTorch compile, export and integration into downstream systems* Design, implement and maintain training, evaluation and benchmarking pipelines for video compression models, including metrics and datasets* Work on proof-of-concept projects with various teams and incorporate successful approaches into larger platforms and demonstrators* Stay current with advances in machine learning, deep learning and video coding research and help bring relevant ideas into InterDigital projects* Represent the company, promote and defend proposals from the company, throughLocation:* London, UKInterDigital is an equal employment opportunity employer. InterDigital will not engage in or tolerate unlawful discrimination with regard to any employment decision, policy or practice based on a person’s sex, gender, pregnancy (including childbirth, breastfeeding and related medical conditions), age, race, color, religion, creed, national origin, ancestry, citizenship, military status, veteran status, mental or physical disability, medical condition, genetic information, sexual orientation, gender identity or expression, or any other factor protected by applicable federal, state or local law. This policy applies to all terms and conditions of employment, including, but not limited to, recruiting, hiring, compensation, benefits, training, assignments, evaluations, coaching, promotion, discipline, discharge and layoff.* #J-18808-Ljbffr

We are actively searching for a talented and experienced Machine Learning (ML) Engineer to join our team.As a Machine Learning Engineer, you will play a crucial role in the development and implementation of cutting-edge artificial intelligence products.Your responsibilities will involve designing and constructing sophisticated machine learning models, as well as refining and updating existing systems.In order to thrive in this position, you must possess exceptional skills in statistics and programming, as well as a deep understanding of data science and software engineering principles.Your ultimate objective will be to create highly efficient self-learning applications that can adapt and evolve over time, pushing the boundaries of AI technology. Join us and be at the forefront of innovation in the field of machine learning.RequirementsProven experience as a Machine Learning Engineer or similar roleUnderstanding of data structures, data modeling and software architectureDeep knowledge of math, probability, statistics and algorithmsAbility to write robust code in Python, Java and RFamiliarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)Ability to work in a teamOutstanding analytical and problem-solving skillsBSc in Computer Science, Mathematics or similar field; Masters degree is a plusResponsibilitiesStudy and transform data science prototypesDesign machine learning systemsResearch and implement appropriate ML algorithms and toolsDevelop machine learning applications according to requirementsSelect appropriate datasets and data representation methodsRun machine learning tests and experimentsPerform statistical analysis and fine-tuning using test resultsTrain and retrain systems when necessaryExtend existing ML libraries and frameworksKeep abreast of developments in the field

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Insurance Pricing, Data Science and Advanced Analytics Recruitment Specialist Perm | Contract I Insurtech I General Insurance I Broking I Lloyds… £65,000 + bonus + benefits | 2 days/week Manchester (moving to 3 days soon) If you’re a pricing data scientist who wants to lean harder into ML (or you’re an ML engineer who enjoys commercial, real-world modelling), this is one of those roles where Python is central to everything. You’ll join a high-performing ML team (4 ML engineers today) with genuine buy-in from the wider business and a strong pipeline of interesting work. The team is growing, and so is the opportunity to step up. What you’ll be doing Building and improving pricing models using Python Working on GLMs and GBMs (this is not an LLM/neural-network role) Translating model outputs into decisions that move the needle commercially Collaborating closely with ML engineers, pricing, and stakeholders across the business Helping shape how the team scales as hiring continues Why this role stands out Python-first environment with meaningful engineering/ML focus Huge internal support for ML and analytics A team that’s already established, but still early enough for you to have real influence Clear career progression as the function expands over the next 12–24+ months What they’re looking for Strong Python and experience delivering models into production or production-like settings Background in pricing analytics / data science / ML engineering Comfortable with GLMs/GBMs and rigorous modelling practices A career-focused person who wants to grow with a scaling team 📍 Location: Manchester (Hybrid — 2 days/week in office, moving to 3 days/week soon) 💷 Package: up to £65,000 base + bonus + benefits Interested? Send your CV for immediate consideration or message me for a confidential chat and full details Seniority level Mid-Senior level Employment type Full-time Job function Information Technology Industries Insurance #J-18808-Ljbffr

Atlantic Talent is proud to be partnered with adynamic tech start-upbased in London. Our clientoperates a cutting-edgeneural machine translation platform, whichaims to break down linguistic barriers and facilitate seamless communication across the world. They arecurrently in the process of expanding operations and scaling their platform,so areon the search for a talented Machine Learning Engineer to join theirdata science team.Role Responsibilities:This is a hybrid role, and will require 1-2 days in the London office each week.Collect, preprocess, and analyse large datasets to extract valuable insights and features.Conduct research to explore new techniques and methodologies in machine translation.Utilise your skills in Python to help build and managestate-of-the-art machine learning models and algorithms.Effectively communicate andcollaborate withdata scientists, analysts, engineers and software developers to helpdefine project requirements and deliver solutions that meet business objectives.Stay informed about the latest advancements in machine learning, natural language processing, and related fields.Essential Skills and Qualifications:A minimum of 5 years’ experience working in a Data Science environment, ideally with a focus on building and deploying machine learning solutions.Bachelor’s and MSc in Computer Science, Data Science, Machine Learning, or a related field.Strong programming skills in Python, with experience in software development best practices.Proficiency in machine learning frameworks including TensorFlow andPyTorch.Familiarity with cloud computing platforms, includingAWS, and distributed computing environments.Excellent problem-solving abilities and a passion for tackling complex technical challenges.Prior experience in a start-up environment is desirable but not essential.As the successful candidate, you will enjoy a comprehensive benefits package designed to support your professional and personal growth, including:Flexible working hours and a hybrid working environment.27 days of annual leave plus public holidays.Up to 20% bonus per annum(based on company and personal performance)Private health care upon successful completion of probation.Professional development and training opportunities.The necessary technology, including a laptop and additional equipment, to create an optimalhome working environment.Weekly team outings and daily free breakfast and snacks on site.

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Location: Manchester | Hybrid working - currently 40% on site increasing to £60% within 12 monthsSalary: Up to £66,000 depending on experienceRef: J13039Join a major organisation investing heavily in its Pricing and Analytics transformation. This is a hands on opportunity to shape how machine learning and pricing models are built, deployed, and scaled in a modern production environment.You will work in a collaborative, engineering led team focused on high quality Python modelling, automation, and robust deployment practices. The role offers genuine influence over tooling, frameworks, and standards as the function continues to grow.RoleBuilding and maintaining Python based modelling frameworks and toolingSupporting the full lifecycle of machine learning and statistical modelsEnabling scalable, production ready model deployment through reusable engineering solutionsWorking closely with analytics, pricing, and wider stakeholders to ensure models are robust and well governedContributing to best practice, code quality, and continuous improvementExperienceStrong experience in Python modelling and machine learning engineeringBackground operating at senior analyst level or equivalentExperience deploying and supporting models in a commercial environmentExposure to GLM and or GBM models is beneficialInsurance or pricing modelling experience is highly desirableComfortable working with Git and collaborative development practicesAble to communicate clearly with both technical and non-technical teamsUK right to work required. Sponsorship is not available.Apply to learn more or message for a confidential conversation.

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Location London - The River Building HQ Employment Type Full time Department Deliveroo Cost Center Hierarchy, Technology, Technology, Machine Learning, Machine Learning (Consumer), Machine Learning (Consumer) Staff Machine Learning Engineer Join us in our mission to transform the way people shop and eat, where impact, innovation, and growth drives everything we do. Our Data + Science organisation enables the highest quality human and machine decision making across Deliveroo’s three sided marketplace. the Team We’re looking for a Staff Machine Learning Engineer to join our Consumer Pricing team, working in a highly collaborative, cross-functional environment. In this role, you’ll design and build intelligent decision-making systems that operate at massive scale and directly shape the experience of consumers, riders, and merchants. Pricing at Deliveroo is a complex, multi-dimensional problem. We are evolving towards more dynamic, personalised pricing strategies that consider consumer behaviour, loyalty programmes, promotions, and real-time marketplace conditions. Your team is at the heart of this shift. You’ll build personalised elasticity models to understand how different customers respond to price changes. You’ll also play a key role in modernising our pricing machine learning infrastructure, addressing legacy technical debt, and introducing richer model inputs and decision variables. The work combines large scale experimentation, incremental uplift modelling, and production ML systems that directly influence customer behaviour and business outcomes. What You’ll Be Doing You’ll be joining an autonomous, mission-driven team at the intersection of machine learning, optimisation, and real world decision-making. Your day to day might include: Designing and building production grade machine learning and optimisation systems that power Deliveroo’s core decisions at scale Developing algorithms to optimise rider assignment, delivery time predictions, pricing, and marketplace efficiency in real time Partnering closely with engineers, product managers, and data scientists to turn complex business problems into pragmatic algorithmic solutions Evaluating model and system performance through robust experimentation using our world class experimentation platform Providing technical leadership across multiple product areas, identifying and prioritising opportunities for high impact algorithmic improvements Mentoring and coaching other engineers and data scientists, raising technical standards and improving how we apply ML and optimisation across the business What You’ll Need to Thrive Our ideal candidate brings deep expertise in some areas and curiosity to grow in others: Strong foundations in machine learning and or operations research, with a clear understanding of when and how to apply each Deep expertise in one or two specialised areas such as pricing, forecasting, optimisation, NLP, meta heuristics, or large scale ML systems Proven experience designing and shipping impactful algorithms that deliver measurable business outcomes Ability to think holistically about business problems and translate them into simple, effective technical solutions Excellent communication skills, able to influence both technical and non-technical stakeholders Why Join Us? At Deliveroo, you’ll do work that matters, solving complex problems in a fast moving, global marketplace. 🔧 High autonomy to design, build, and ship systems with real world impact🌱 Strong support for growth through mentoring, technical reviews, and a clear progression framework📊 A vibrant data science community with knowledge sharing, guest speakers, and collaboration across disciplines🌍 A diverse, inclusive workplace where you can be yourself and do your best work The Interview Process We aim to create a fair and transparent process that allows your skills to shine. For this role, the process typically includes: Recruiter Screen: An introductory conversation about your background and motivations Technical Screen: A deep dive into your experience Take Home Assignment: A timed ML and system design exercise grounded in Deliveroo problems Final Interviews: ML Theory, ML Practical (case study), Behavioural interview Diversity, Equity and Inclusion At Deliveroo, we believe a great workplace reflects the world we live in. We welcome candidates from all backgrounds regardless of gender, race, ethnicity, disability, sexual orientation, religion, or belief. If you need any adjustments or support during the recruitment process, please contact accommodations@deliveroo.co.uk and we’ll be happy to help ensure a fair experience. Ready to help build intelligent systems that power Deliveroo at scale? Apply today. #J-18808-Ljbffr

€170,000 - 260,000 EUR
Onsite WORKING
Location: Central London, Greater London - United Kingdom Type: Permanent

About the Company

I am working with a start-up focused on innovation and excellence in the financial technology sector look to hire Quantitative developers for thier Milan office

About the Role

Build, maintain, and develop robust and optimized production-grade code to manage and execute orders across multiple MFT strategies and multiple exchanges in equities, crypto, and futures. Work with quant and machine learning researchers to continuously refine and improve data pipelines and execution algorithms. Provide an extra pair of hands for various other SE/QD workloads.

Responsibilities for a Quantitative developer

• Build, maintain, and develop robust and optimized production-grade code.
• Manage and execute orders across multiple MFT strategies and exchanges.
• Collaborate with quant and machine learning researchers.
• Refine and improve data pipelines and execution algorithms.
• Support various SE/QD workloads.

Qualifications

• Experience developing live execution systems across different products and platforms at top tier quant firms.

Required Skills

• Strong programming skills in relevant languages.
• Experience with MFT strategies and exchanges.
• Knowledge of data pipelines and execution algorithms.

Preferred Skills

• Familiarity with equities, crypto, and futures markets.

Pay range and compensation package

200-300k (depending on experience) + bonus + internal investment

If you are interested in the Quantitative developer role - then apply to this job ad

Reference: AMC/THO/QD002

Postcode: -

#thho

This is a hybrid position, combining the best of both worlds - working from home and spending 1-2 days a week in ourHalifaxoffice.

Up to £90,000 (Dependant on Experience)

We have an exciting opportunity to join us here atCovéa Insuranceas a Data Architect, within ourIT Department!

AtCovéa Insurance,wereall about protecting what matters most - whetheritsyour home, your car, or your business. With our award-winning customer service and a wide range of insurance products,werehere to make a real difference.

In this role,youllbe working in a team where we are excited to be modernising our data capability. You will play a pivotal role in this transformation, ensuring that the companys data strategy is robust, scalable and aligned with business objectives.

This is a full-time role, but we absolutely support flexible working hours, and are also open to considering part-time hours of at least 3 days a week.

This is more than just a job -itsa chance to grow, develop, and be part of something great.

Where will I make an impact?

• Drive the Databricks technical roadmap and support Data Engineering teams
• Design scalable data structures and integrations that enable solution delivery
• Develop architecture patterns and solutions aligned to business needs
• Define, review, and advise on data pipelines for efficient ingestion, transformation, and storage
• Contribute to the Target Architecture, aligned with business strategy
• Act as design authority, ensuring adherence to architecture standards and the Target Architecture
• Build subject-matter expertise in Coveas data platforms and support technical engineers
• Collaborate across disciplines to align on requirements and uphold data quality, governance, and best practices
• Drive solution adoption, build consensus, resolve delivery constraints, and ensure architectures meet business and technical objectives
• Ensure clear, agreed requirements and operate within governance to deliver architectures that address design challenges

Whatyoullneed to succeed:

• Strong expertise across Databricks, Unity Catalog, DLT, and external data connectors
• Skilled in designing data-centric architectures at conceptual, logical, and physical levels
• Experienced in integrating new data flows into existing systems of record
• Solid background in data analysis and modelling at enterprise and solution levels
• Proficient with structured/unstructured data, relational databases, and graph technologies
• Knowledge of Data Vault, Kimball, Inmon, and medallion design patterns
• Broad experience with cloud and on-prem Data Warehouse, Data Lake, and Lakehouse architectures
• Relevant cloud/data architecture certifications (Databricks, AWS, Azure) preferred
• Confident working with stakeholders at all levels, including partners and clients
• Strong commercial awareness and exceptional communication skills; effective team collaborator

Not sure if you tick every box?Thatsokay!
At Covéa, we know that great peopledontalways meet every single requirement listed in a job ad. If this role excites you and you think you could be a good fit,wedlove to hear from you - so go ahead and apply!Wereall about building a diverse, inclusive team where everyone can thrive.

Why join us?

• Flexible working 36.25 hours a week with flexitime & hybrid optionsAnnual pay review plus performance bonuses (up to 30% depending on level)
• Generous holidays 2527 days + bank holidays, with buy/sell options
• Pensionperks 7.5% employer contribution, rising to 9% with your input
• A culture where everyone belongs we’recommitted to diversity, equity & inclusion, with real action, employee-led community groups, and ongoing learning to make Covéa a place where everyone can thrive
• Mental & financial support through our dedicated Wellbeing group
• Career growth training, qualifications & apprenticeships to help you thriveHealth & wellbeing private medical cover, 24/7 Virtual GP, health checks, flu jabs & more
• Drive in style Tusker Car Scheme with fullymaintainedinsured vehicles
• Extra savings gym discounts, Cycle to Work, and retail offers viaPerkpalAnd much more!

Excited about this opportunity? So are we!
Apply today and be part of our journey.

As a Disability Confident Employer,werecommitted to fair and accessible recruitment. If you need anyadjustments, supportor alternativeapplication optionsduring theRecruitmentprocess,thenplease reach out to one of our team.

Applicants must currentlyresidein the United Kingdom andpossessfull and unrestricted right to work in the UK. Unfortunately, we are unable to offer Visa sponsorship for this role.

Our Hedge Fund client is looking for a Python Developer/Engineer Contract role

This team is responsible for the firms equity transaction data platform, including trade life cycle event processing, enrichment, and PnL calculations. The role is ideal for an engineer who enjoys building robust, high-throughput services and data pipelines in a fast-paced, delivery-focused environment.

Principal Responsibilities
Design and develop solutions for trade life cycle event processing, including corporate actions, expiries, and other post-trade events.
Build and operate Python-based services that perform large-scale data transformations and calculations.
Publish and distribute transaction and PnL data using Kafka, including AVRO-based schemas and streaming patterns.

Required Skills
Minimum of 6+ years of professional Python development experience, ideally in capital markets or a fintech firm.
Experience in finance: understanding of common financial asset classes; knowledge of equities corporate action processing, trade life cycle concepts, and/or P&L calculations is a strong plus.
Experience with Kafka (or equivalent streaming/messaging platforms) and schema-based event publishing (eg, AVRO).
Strong experience performing large-scale data calculations in Python using libraries like pandas, polars, and NumPy.
Experience building REST services using frameworks such as FastAPI and/or Flask.
Strong SQL skills and experience working with relational databases in production environments.
Hands-on experience with containerized deployments and modern infrastructure tooling (Docker, Kubernetes) and familiarity with cloud platforms.
Understanding of modern SDLC practices (testing strategy, CI/CD, release management, observability, and operational ownership).

Office based, 5 days per week.
Based in London.

Contract role inside IR35

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Are you ready to start a new career in AI Engineering? AI is expected to generate 170 million jobs by 2030 and at present experienced professionals can earn salaries of upwards of £66,000. In today's digital world, AI is transforming every aspect of our lives and is at the heart of modern technological advancements. As skills shortages continue to grow, the demand for qualified entry-level professionals is on the rise. Your journey to a new career in Artificial Intelligence is just 130 hours and three simple steps away. Newto Training can support you at any stage of your career journey whether you're new to the industry or looking to exchange your skills, this Artificial Intelligence course is designed to get you job-ready. Step One Study key data methodologies: AI Fundamentals, Python, Working with AI Models, AI Engineering for Developers, Developing AI Applications, all alongside real-world project work to harness the power and understanding of these technologies. We also provide two digital badges: CompTIA AI Essentials and CompTIA AI Prompting Essentials. Step Two Study and take your three AI and data certifications: Azure AI Fundamentals, Azure Data Fundamentals, CompTIA Data+ and CompTIA Data AI. Step Three Now that you're qualified for an entry-level AI or data position paying up to £35,000 per year, our recruitment support team will begin working with you to help secure a role that suits your new qualifications and any other experience you bring. Course cost £2295, or, £191.25 per month We guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees. No prior industry experience is required - no matter your background, previous studies or work history - if you think you have the soft skills (communication skills, passion) needed then we can help you launch the career you want. Click 'Apply Now' to begin your new career!

Introduction

Saab UK is part of Scandinavia’s largest defence company, bringing together the best of Swedish and British innovation. Saab offers world-leading solutions and services in defence, aviation, space, and civil security to keep people and society safe. Our UK presence has been growing at pace, meaning we can offer a wide range of opportunities for personal fulfilment and career growth. We currently employ over 600 people across eight sites in the UK, and our specialisations include software engineering, underwater robotics, radars, AI, and armed forces training.

What you will be part of

Explore a wealth of possibilities. Take on challenges, create smart inventions, and grow beyond. This is a place for curious minds, brave pioneers, and everyone in between. Together, we achieve the extraordinary, each bringing our unique perspectives. Your part matters.

Saab is a leading defence and security company with an enduring mission, to help nations keep their people and society safe. Empowered by its 26,000 talented people, Saab constantly pushes the boundaries of technology to create a safer and more sustainable world.

Saab designs, manufactures and maintains advanced systems in aeronautics, weapons, command and control, sensors and underwater systems. Saab is headquartered in Sweden. It has major operations all over the world and is part of the domestic defence capability of several nations.

The Role:

This role is part of our Sensor Systems Business Unit.

Saab is expanding in the UK and we are now seeking talented and highly motivated Systems Engineer to support our radar and sensors growth activities at either our Fareham campus.

Much of our current work is centred on the G1X radar, which is the newest radar in Saab’s portfolio - a software defined radar with a regular capability update cycle post-delivery, as well as an established production line. As a Systems Engineer you will regularly work with current products, developing enhancements and investigating new areas for product growth.

Key Responsibilities:

As a System Engineer you will be responsible for various activities across the product lifecycle.

Responsibilities include:

• Support to bid activities
• Requirements management activities
• Radar performance analysis
• Radar algorithm development
• System and sub-system design
• Support to customer demonstrations
• Travel within UK and abroad (including to Gothenburg office)

Required Skills:

• As a person you are positive, social, results oriented and a team player with a background in systems engineering
• Experience of radar, communications or EW systems in considered essential (5 years minimum)
• Experience of working with MATLAB, ideally working with recorded radar data
• Experience of working in a recognised industry standard requirements management tool
• Familiar with principles of 15288:2023
• Familiar with product road mapping and product lifecycle techniques
• Enjoy working and developing in a team
• Like cooperating with others but are capable of working individually as well
• Good technical communication skills
• Have a Bachelors degree or equivalent
• During your employment you will handle tasks and materials that are classified as military secret and therefore you must have a UK or Swedish citizenship

As a National Security Vetting clearance is required for this role, applicants will be required to hold National Security Vetting clearance to SC level or have the ability to gain it.

By submitting an application to Saab UK you consent to undertaking workforce screening activities that may include but are not limited to: Baseline Personnel Security checks, National Security Vetting, reference checks, verification of working rights and in all circumstances preferred candidates will be placed through a security interview.

Title: Senior Software Engineer (Compilers)

Company: HPC & AI

Location: London (primarily remote)

Compensation: Up to 190,000

Company:

An advanced HPC R&D firm, looking to expand the UK compiler team. Most of the team are ex-Big-Tech, ex-FAANG or ex-Chip firms. They joined because they get more flexibility and have more challenging/interesting work to do as the team is significantly smaller, with highly technical leadership. If you want to work alongside some of the brightest, most enthusiastic people in the industry, this may be worth exploring.

Role:

Senior Software Engineer position with an emphasis on AI Compiler development. You will be a significant hire and will own much of the development of a cutting-edge compiler development project. Significant hires have already been made in the team to support this role.

Mostly LLVM based, it is important you also have experience working with GPUs to an extent.

About you:

• 6 years+ as a compiler engineer
• Strong C++ programming skills
• Experience with LLVM, MLIR, Triton or other compilers
• Experience with GPU architectures

Full details are available. Please don’t hesitate to get in touch.

Bristol

An exciting role for a Systems Engineer to be involved in a variety of projects developing ground breaking technologies through the use of Modelling & Simulation. With opportunities to support field trials and work with a dedicated team of Engineers to help your own career development this role is one not to be missed!

Salary: From £ 40,000 to £58,000 depending on experience

Dynamic (hybrid) working: 3-5 days per week on-site due to workload classification

Security Clearance: British Citizen or a Dual UK national with British citizenship.

Restrictions and/or limitations relating to nationality and/or rights to work may apply. As a minimum and after offer stage, all successful candidates will need to undergo HMG Basic Personnel Security Standard checks (BPSS), which are managed by the MBDA Personnel Security Team.

What we can offer you:

• Company bonus: Up to £2,500 (based on company performance and will vary year to year)
• Pension: maximum total (employer and employee) contribution of up to 14%
• Overtime: opportunity for paid overtime
• Flexi Leave: Up to 15 additional days
• Flexible working: We welcome applicants who are looking for flexible working arrangements
• Enhanced parental leave: offers up to 26 weeks for maternity, adoption and shared parental leave -enhancements are available for paternity leave, neonatal leave and fertility testing and treatments
• Facilities: Fantastic site facilities including subsidised meals, free car parking and much more
• Healthcare Cash Plan: The Healthcare Cash Plan benefit provides the option to claim cash back on everyday healthcare expenses such as optical, dental, health and wellbeing and more .

The opportunity:

We are looking for Systems Engineers to join a growing team to perform activities including modelling, algorithm development and systems studies. Our work covers simulation and modelling of the entire Seeker chain from radar propagation, to hardware response, to the embedded software algorithms on-board the Seeker. These algorithms are developed in, and auto-coded directly from our models, allowing us to rapidly test, iterate, and deliver sophisticated defence capability.

There are roles available across multiple Seeker programmes, from those in the early concepting phase (including developing groundbreaking technologies like Active Electronically Scanned Arrays (AESAs) and highly integrated multi-mode sensors), through assessment and development phases (such as Future Cruise Anti-Ship Weapon FC/ASW) and, supporting spiral development on our in-service phase Seekers. You may have the opportunity to get involved in a variety of other activities within our department including support to field trials and lab testing. There are numerous progression and development opportunities available, as well as interaction with stakeholders across a dynamic multi-national engineering team.

We are also looking for more experienced engineers wishing to develop their leadership skills across teams and work packages.

What we’re looking for from you:

• Degree level qualification in a STEM subject or equivalent experience
• Modelling and Coding with proficiency in MATLAB
• Algorithm Development
• Data Analysis and Technical Report Writing

Desirable experience:

• Advanced MATLAB
• Proficiency in Simulink including Embedded Coder
• Formal software or firmware development experience, especially C and HDL
• Knowledge of RF systems and digital signal processing
• Model verification, configuration control and model release processes
• Continuous Integration and Testing
• Machine Learning and AI

You will be an adaptable and proactive individual who enjoys finding innovative solutions to complex engineering problems.

Most importantly, if you have a passion for the industry and technology, then we want to see you! Our department is an encouraging community, in which you can develop your skills, gain experience and progress your career, giving you exposure to some incredible technologies and products.

Our company: Peace is not a given, Freedom is not a given, Sovereignty is not a given

MBDA is a leading defence organisation. We are proud of the role we play in supporting the Armed Forces who protect our nations. We partner with governments to work together towards a common goal, defending our freedom.

We are proud of our employee-led networks, examples include: Gender Equality, Pride, Menopause Matters, Parents and Carers, Armed Forces, Ethnic Diversity, Neurodiversity, Disability and more

We recognise that everyone is unique, and we encourage you to speak to us should you require any advice, support or adjustments throughout our recruitment process.

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A high-growth institutional trading business in the digital assets market is expanding its London team and hiring a Quant Developer to join its OTC pricing function. This is a great opportunity to join a successful firm adding headcount as it continues to grow, and to work on highly visible quantitative systems that sit at the core of pricing, hedging and liquidity decisions. The role offers a rare blend of quantitative research partnership and hands-on production engineering, making it ideal for someone who enjoys solving real market problems in a fast-paced trading environment.

THE ROLE: Quant Developer OTC Pricing

This is a senior-level quant development role within the OTC pricing team, focused on turning quantitative ideas into robust, production-grade trading and pricing solutions. The successful candidate will work very closely with quantitative researchers, contributing not only to implementation but also to the design and refinement of pricing and liquidity models.

The role combines research-oriented modelling in Python with production engineering in Java. You will use Python to analyse data, test ideas and support model development, while using Java to build and enhance high-performance pricing infrastructure used in a live, global trading environment.

You will be involved in the development of pricing logic, flow analysis, spread optimisation and automated hedging tools. The role also includes working on distributed systems challenges in a 24/7 multi-region environment, where reliability, consistency and performance are critical. This is a high-impact position for someone who enjoys applying quantitative thinking to real trading and pricing problems at scale.

KEY RESPONSIBILITIES: Quant Developer OTC Pricing

• Build and enhance quantitative pricing, hedging and optimisation models within a high-performance Java framework
• Work alongside quantitative researchers to analyse large datasets and translate research into production-ready solutions
• Use Python for model prototyping, data analysis, signal investigation and backtesting activity
• Develop and improve pricing skew, spread and liquidity optimisation logic
• Design and implement automated hedging strategies, taking into account execution risk, liquidity and market impact
• Support pricing system deployment across distributed, multi-region architecture with a focus on uptime and consistency
• Analyse client trading behaviour, including flow quality, decay and pricing performance, to support more effective pricing decisions
• Contribute to the ongoing evolution of tools and systems used in a live institutional trading environment

REQUIRED - SKILLS/EXPERIENCE: Quant Developer OTC Pricing

• Strong Java development experience, ideally 5+ years
• Deep understanding of object-oriented design, concurrency, and high-performance distributed systems
• Proficient in Python; Including use of libraries such as NumPy, SciPy and Pandas for quantitative analysis and prototyping
• Proven experience applying numerical optimisation techniques and/or machine learning methods to pricing, trading or market-related problems
• Prior experience in client pricing, electronic trading, or a closely related quantitative trading environment
• Exposure to liquid markets such as FX, equities, ETFs or crypto
• Strong academic background in a quantitative discipline such as Mathematics, Physics or Quantitative Finance
• Ability to operate effectively in a role that bridges quantitative modelling and production engineering

DESIRABLE - SKILLS/EXPERIENCE: Quant Developer OTC Pricing

• Familiarity with low-latency system optimisation, such as GC tuning or tools/frameworks used in high-performance messaging environments
• Understanding of derivatives pricing and risk management, particularly across products such as futures, forwards, NDFs and CFDs
• KDB+/Q
• Exposure to AWS, Docker and Kubernetes

Job Title: AI Technical Lead
Location: Leeds / Hybrid, 2x days per week
Salary: £80,000-£100,000 + benefits

Why Apply?

This is an opportunity to step into a pivotal Technical Lead role for a forward-thinking, technology consultancy delivering cutting-edge AI solutions. You’ll shape architecture, engineering standards, and delivery outcomes across high-impact projects while working with modern AI/ML tooling, cloud technologies, and scalable engineering practices.

Technical Lead - AI Responsibilities

• Lead AI-focused architecture, design, and engineering delivery across client engagements.
• Oversee end-to-end implementation of AI/ML solutions, from concept through to production.
• Act as the senior engineering authority, ensuring high-quality outputs across wider teams.
• Establish best-practice engineering ecosystems, including CI/CD pipelines, automation, developer tooling and QA methodologies.
• Maintain expertise across modern tech stacks, cloud platforms and industry trends, including LLMs and classic ML approaches.
• Collaborate with cross-functional teams to translate technical requirements into actionable engineering plans.
• Build strong relationships with stakeholders, providing guidance and thought leadership throughout delivery.

Technical Lead - AI Requirements

• Strong commercial experience with AI and ML tools, frameworks, and delivery methods.
• Confident acting as the ‘first engineer on the ground’ to drive direction and standards.
• Hands-on proficiency with cloud platforms and modern engineering patterns.
• Full-stack technical capability across front-end and back-end technologies (e.g., React, Vue, Flutter, C#, Java, Python, Node, Go).
• Broad exposure to CI/CD tooling, automation technologies, and test engineering.
• Strong understanding of agile principles with experience embedding best practice across teams.
• Excellent communication, emotional intelligence, and stakeholder engagement skills.
• Analytical mindset with strong attention to detail and comfort with complexity and evolving AI landscapes.

What’s in it for me?

• Competitive salary and comprehensive healthcare.
• Hybrid/remote working options for improved work-life balance.
• Ongoing professional development, including AI/ML upskilling and access to technical communities.
• Opportunity to work with modern technologies and shape high-value digital solutions.
• Exposure to a broad portfolio of impactful projects across multiple industries.

We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age.

Location: Stroud, Gloucestershire Salary: Up to £70,000 KO2's client is an ambitious, well funded and fast-growing technology start-up based in Stroud, developing advanced sensing and monitoring systems that combine low-power embedded platforms, intelligent signal processing, and secure wireless connectivity. The Role - Senior Embedded Software Engineer You will be responsible for the full embedded development lifecycle: Scoping and requirements definition System architecture (hardware & software) Simulation and modelling Firmware development Integration and verification Validation and production releaseThe successful Embedded Software Engineer will work closely with hardware, data, and product engineers to deliver robust, secure, and power-efficient sensing platforms operating in demanding real-world environments. Key Responsibilities Architect and develop low-power embedded firmware (C/C++) for sensor platforms Design for ultra-low power consumption in battery-operated and remote systems Implement sensor data acquisition and processing pipelines (e.g. MEMS microphones, accelerometers and other environmental sensors) Develop and optimise RF communications systems, particularly: LoRa or similar LPWAN technologies Mesh networking architectures Implement secure communications including encryption, authentication and secure boot mechanisms Develop machine learning-enabled acoustic detection and classification systems: Data pre-processing and feature extraction Deployment of optimised ML models on constrained embedded devicesEssential Experience Significant experience in embedded C/C++ development Strong experience across the full product lifecycle (concept → production) Proven expertise designing for low-power embedded systems Experience with sensor data acquisition and real-time signal processing Strong RF communications experience, particularly LoRa or comparable technologies Experience implementing mesh networking protocols Solid understanding of embedded security (encryption, authentication, secure firmware updates) Strong debugging and hardware bring-up skillsHighly Desirable Machine learning for acoustic detection/classification Experience with MEMS microphone-based systems Wind/ambient noise mitigation design (hardware and software) Secure OTA update mechanisms Experience in a start-up or high-growth environmentIf you're a Senior Embedded Software Engineer looking to build intelligent, low-power sensing systems from the ground up - KO2 would be delighted to discuss this opportunity with you

Job Title: AI Engineer - Python, LLMs Location: Sheffield (Hybrid) Type: Contract, Full-Time We are looking for a skilled and experienced Analytics Engineer to join a rapidly growing organisation. You will Partner with business stakeholders to design and deliver impactful dashboards, analytical products, and metric frameworks. You will build high‑quality analytics datasets, semantic layers, and reusable data models that power reporting and advanced insights. You will be responsible for : Develop and maintain CI/CD pipelines for analytics workflows, ensuring reliable, automated testing and deployment. Use Python or similar scripting languages to support analytics, automation, and data manipulation tasks. Leverage LLMs and AI‑assisted tools to accelerate insight generation, documentation, and development workflows.Key Skills and Experience you must have: Strong SQL and data modelling skills. Hands-on experience with enterprise analytics platforms such as Power BI and Tableau. Experience in implementing CI/CD pipelines for Analytics. Excellent experience with Python. Excellent experience working with large Enterprise Data Platforms. Experience using LLMs or AI-assisted tools to accelerate analytics and insight generation. You must be a team player with the ability to work in a collaborative environment. If the role is of interest please get across your CV

C++ Engineer Certain Advantage are hiring for a C++ Engineer based in London. This role is on an initial contract till the end of the year and is hybrid. The company We’re working with an organisation that operates globally, helping power homes, transport, and industries with the energy they depend on every day. The role: Implement solutions using the provided exchange SDKs in different languages such as C++, Rust, Python, Typescript Write software that communicates with exchanges through their APIs, receiving market data and sending orders over the network in different protocols, such as FIX, Websocket or HTTP requests Optimize exchange communication through kernel bypass, optimizing TLS or the connection handling to an exchange Implement trading algorithms based on requirements provided by traders and quants Acquire and develop the necessary trading knowledge to successfully translate the requirements into actual software implementation Continuously improve the stability, reliability, and performance of the trading engine Enhance monitoring and observability in collaboration with the Trading Operations team The individual: C++ software development experience within the financial industry Solid understanding of parallel, asynchronous, and multithreaded programming to build distributed systems Good knowledge of algorithms and data structures Understanding of trading lifecycle, including order capture & execution, allocation workflow, settlement, and compliance requirements Must have strong technical skills in scripting, Python, C#, SQL or other programming languages Proactive system monitoring and troubleshooting, owning reliability improvements and ensuring their successful delivery Does this sound like your next career move? Apply today. Working with Certain Advantage We go the extra mile to find the best people for the job. If you’re hunting for a role where you can make an impact and grow your career, we’ll work with you to find it. We work with businesses across the UK to find the best people in Finance, Marketing, IT and Engineering. If this job isn’t for you, head to (url removed) and register for job alerts and career guidance tips

Senior Data Engineer – (Tick data, Time-Series; kdb+ / Q )
3-6 months initially.
London 3 days onsite

Are you a Data Engineer with a background in systematic trading who has worked with granular tick market data? Have you built pipelines to allow tick data to be ingested into a time series tech stack utilising kdb+ and Q? If so keep reading!

Certain Advantage are recruiting on behalf of our London based trading client for a Data Engineer to focus on building a scalable data platform for algorithmic trading.

You’ll Identify and implement solutions for Quants and Traders, providing data that will be used to improve strategies performance and produce clients TCA, pre- and post- trade analytics.

Your Project Work:

Identify and implement solutions to provide data that will be used to improve strategies performance and produce clients TCA, pre- and post- trade analytics.
Work with business Stakeholders to build new and maintain existing real-time and historical data services and statistical functions on top of the data.
Develop an in depth understanding of existing analytical libraries and help to broaden current offering.
Identify and implement solutions to optimize performance maintaining fast query execution.
Key Skills and Experience sought:

Experience developing highly reliable data ingestion processes to consume large volumes of data emitted by trading and market data systems.
Practical experience scaling and load-balancing infrastructure using market leading time-series database products (e.g. kdb, shakti)
Experience using of kdb and building indicators and backtesting frameworks using Q language.
Deep understanding of tick design and data organization, performance implications of different approaches when building time-series database infrastructure
Experience with Agile methodology and tools such as ADO, Github, Jenkins, Nexus and Jira
Does this sound like your next career move? Apply today!

Working with Certain Advantage

We go the extra mile to find the best people for the job. If you’re hunting for a role where you can make an impact and grow your career, we’ll work with you to find it.
We work with businesses across the UK to find the best people in Finance, Marketing, IT and Engineering.

If this job isn’t for you, head to (url removed) and register for job alerts and career guidance tips

DigitalGenius is a venture-backed artificial intelligence company bringing practical applications of deep learning and AI to some of the largest ecommerce customer service operations in the world, as well as high-growth companies. We’re a dedicated team of thoughtful and hard-working people committed to transforming customer service through the application of artificial intelligence. Role The continuous improvement of our products and the range of innovation projects we are committed to require us to scale our Machine Learning team. We are searching for a Machine Learning Engineer to join our core AI Team. This is a highly technical role for an outstanding individual who can take ownership of projects and start new initiatives. As a Machine Learning Engineer at DigitalGenius, you will be responsible for building and improving our Natural Language Processing, Image Recognition, and Recommendation solutions to maximise the product’s performance for our customers. Your time will be divided between improving the core product, researching and developing new ML applications and working closely with our clients. This is an excellent opportunity for those with strong programming capabilities and a deep understanding of AI. We are looking for someone with complementary skills that extend beyond NLP, preferably somebody with experience in ecommerce. The AI team at DigitalGenius owns all ML-related research, implementation and maintenance. In practice, this means keeping up to date with the SOTA research, data analysis, and developing scalable production services and infrastructure. Responsibilities - Proactive approach with team members and clients - Continuous improvement of core AI services - Take ownership of the services within your expertise - Contribute to the ongoing innovation R&D projects - Implement and maintain ML Infrastructure - Requirements - Degree in relevant field with 3+ years of industry experience - Strong Technical Skills: Python, Production APIs, Infrastructure as Code, - AWS or other Cloud provider - Deep understanding of Natural Language Processing / Generative AI / - Image Recognition - Extensive experience with machine learning techniques and algorithms such as supervised and unsupervised learning techniques, predictive modelling and statistics. - Experience with MLOps - Excellent organisation skills, working independently and ability to deliver results for deadlines. - A proactive, innovative, pragmatic approach to problem-solving and an ability to think critically and objectively. - Good customer-facing skills and ability to communicate technical concepts to technical and non-technical audiences. - Experience in ecommerce space Benefits - Competitive Salary - Generous vacation time (25 days of annual leave) - Yearly "Reset Week" in addition to annual leave allowance - Freedom to experiment with your own ideas - Environment to develop your skills without bureaucracy or red tape - Monthly fitness stipend of $210 or fully paid Third Space Membership We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.