Machine Learning Engineer page is loaded Machine Learning Engineerlocations: Londonposted on: Posted Todayjob requisition id: R-003229 Salary : £67,900 Closing Date : 5th May 2026 Contract Type : PermanentThe Wellcome Trust is a global charitable foundation. We improve health for everyone by funding science, leading policy and advocacy campaigns, and building partnerships.We plan to spend £16bn over the next ten years, funding new discoveries in life, health, and wellbeing, and taking on three global health challenges: mental health, infectious disease and climate and health.These challenges need the bold science we support, but they won't be solved by science alone. Where in Wellcome will In this role, you will work together with an interdisciplinary team of software engineers, data engineers, analysts, and designers to help Wellcome gain a deeper understanding of its funding data and inform decision-making. You will have the opportunity to develop machine learning models understand our research funding and it's impacts. With an emphasis on natural language processing and network analysis. You will work with open-source software in a highly collaborative team, developing, maintaining, and proposing new solutions to enhance our data science offering to the organisation. Propose, develop, and evaluate machine learning models with an emphasis on natural language processing Translate business problems to data science tasks and present complex results to stakeholders Collaborate on a cross-functional team, sharing ideas, doing code reviews, maintaining, and improving our internal data science tooling Identify opportunities where machine learning can help Wellcome make better decisions Identify opportunities where machine learning can help Wellcome make better decisions Contribute to a diverse and inclusive culture across the organisation, collaborating across departments How to apply To apply for this role, please submit an up-to-date CV and answer two application questions to demonstrate that you meet the minimum requirements for the role. Minimum Criteria: Advanced degree (MSc or PhD) in a quantitative field such as machine learning, data science, computer science, statistics, engineering or mathematics. Strong Python and SQL skills with a grounding in software engineering best practices. In-depth understanding of a deep learning framework such as PyTorch, TensorFlow or JAX. Knowledge of supervised/unsupervised machine learning and modern natural language processing techniques for text classification, named entity recognition, and topic modelling. Strong knowledge of data science libraries such as Polars, Pandas, NumPy, Scikit-learn. Experience working with cloud platforms such as AWS, Azure or GCP. Experience working collaboratively in a multidisciplinary team.You can view the full job on our webite You can read more about the benefits we offer our employees on our Our Hybrid Way of Working We understand that our colleagues have commitments and personal interests outside of work and we strive to build a flexible working environment, in which people can perform at their best. At Wellcome we have a hybrid way of working: 3 days in our Euston Road offices (Tuesday, Wednesday and Thursday), with the remaining 2 days working either remotely or in the office. Diversity and Inclusion is at the heart of everything we do We are committed to cultivating a fair and inclusive environment, where everyone can be themselves and thrive. We are happy to discuss flexible working options for all roles. We work to ensure that our recruitment processes are as inclusive as possible to everyone. This includes making adjustments for people who have a disability or long-term condition. Please visit our website for more information on adjustments and accessibility, or contact us at . support researchers, we take on big health challenges, we campaign for better science, and we help everyone get involved with science and health research. Wellcome isn't just a supporter of great ideas, it's a great place to work. We offer excellent benefits and help our employees to develop in an open, respectful culture where differences are valued.

£200000 - £400000 per annum + Bonus and Benefits Contact email: Job ref: C++/FF/0202 Startdate: ASAP A global HFT Hedge Fund is looking to hire an experienced C++ Quant Developer. They are looking for an experienced C++ Developer with a background in HFT and Ultra Low Latency programming to assist in building out their Cross Asset Trading capability. As a member of a dynamic team, you will have the opportunity to play an important role in the world of electronic and algorithmic trading. Your work will involve a wide range of responsibilities, from exchange price feeds and core trading systems to back testing engines, tick data management, exchange simulators, and trading gateways. Collaborating closely with investment management professionals such as Quants and Trading teams you will be at the forefront of designing and developing cutting-edge systems that keep the business ahead of the curve. Candidates will require: Strong C++ Development background on Linux Business knowledge in FX but can look at other asset classes. Strong experience building and developing high frequency, ultra-low-latency applications Previous experience in developing business logic would be highly beneficial. Strong multi-threading, concurrency and memory management Good technical or scientific academic background in Computer Science, Maths, Physics etc By submitting your details you agree to our T&Cs

AI Engineer - Remote (Barcelona) €100,000

About the Role

We are looking for a hands on AI Engineer to own and evolve the core “brain” service that drives a cutting edge AI product. This role spans architecture, development, optimization, and production operations of real time, multi agent LLM systems.

Role Overview

As an AI Engineer, you will design, build, and operate low latency, real time text and voice agent systems. You will be responsible for multi agent orchestration, advanced reasoning approaches, RAG engineering, and evaluation driven development to ensure production grade quality and performance.

Key Responsibilities

• Design, build, and operate low latency real time text and voice agent systems
• Implement multi agent orchestration patterns (planner-executor-critic, routing, shared memory)
• Apply advanced reasoning methods (ReAct, Chain of Thought, Tree /Graph of Thoughts where appropriate)
• Lead RAG engineering with strong grounding, evaluation, and observability
• Drive evaluation based development with monitoring, tracing, and CI/CD gating
• Ship production grade Python services using FastAPI under strict latency and quality requirements

Minimum Qualifications

• 5+ years of experience in ML or backend engineering in production environments
• Deep expertise in Python, FastAPI, asyncio, and production observability
• Experience with low latency text and/or voice systems (LiveKit, Pipecat, WebRTC, or similar)
• Hands on experience with LLM systems, agent patterns, and evaluation driven workflows
• Prior startup experience

Tech Stack Highlights

Python, FastAPI, asyncio, Redis, Postgres, vector databases, WebRTC/LiveKit, SIP gateways, Docker, Terraform, Kubernetes, OpenTelemetry, DeepEval, GCP

What We Offer

• Work on state of the art real time AI agent technology in healthtech
• Highly collaborative, senior technical team
• Fully remote role based in Barcelona
• Fun off sites and strong developer ergonomics

If you are interested please email your CV to for immediate consideration.

Expedia Group brands power global travel for everyone, everywhere. We design cutting edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.

Why Join Us?

To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.

We provide a full benefits package, including exciting travel perks, generous time off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees’ passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us.

Introduction to team:

As a Data Scientist III on our Experimentation Science team, you will play a critical role in shaping the statistical methodologies that underpin Expedia Group’s experimentation platform. Your work will ensure that every feature change on our website-from button colors to booking flows-is rigorously tested to maximize business impact. This role blends research and practical application, requiring you to design, evaluate, and improve hypothesis testing frameworks and experimentation techniques. You will collaborate closely with platform engineers to implement scalable solutions, provide expert guidance to stakeholders, and drive innovation through cutting edge statistical research. This position offers a unique opportunity to apply deep statistical expertise in a dynamic environment where your contributions directly influence product decisions and customer experiences worldwide.

In this role, you will:

• Lead the development and validation of advanced statistical methodologies to support Expedia Group’s experimentation platform, ensuring robust and reliable A/B testing across the website’s features and user experiences
• Collaborate closely with the experimentation platform team to design, implement, and scale new testing frameworks and tools that enhance the platform’s capabilities and reporting accuracy
• Provide expert guidance and training to cross functional teams on experimental design, hypothesis testing, and statistical best practices to optimize test duration, sample size, and overall experiment quality
• Conduct original research to explore and develop innovative approaches for experimentation challenges, including designing proof of concept studies and integrating new methodologies into production workflows
• Analyze complex experimental data, build simulation frameworks to quantify error rates, and communicate findings clearly to both technical and non technical stakeholders to inform business decisions

What we’re looking for:

• Deep expertise in statistical methodologies, particularly hypothesis testing, design of experiments, and interpretation of p values and confidence intervals, with the ability to apply these concepts rigorously in an experimentation context
• Strong analytical mindset with the capability to structure complex business problems and translate them into statistically sound experimental designs and solutions
• Proficiency in programming with experience in Python, PySpark, R, or similar languages, sufficient to implement and test statistical models and simulations, with an emphasis on correctness over advanced coding skills
• Demonstrated ability to conduct independent research, quickly learn new statistical techniques, and develop proof of concept models that can be scaled and integrated into production experimentation platforms
• Excellent communication skills to clearly explain complex statistical concepts and experimental results to both technical and non technical stakeholders, ensuring alignment and understanding across teams

Experience and qualifications:

• A bachelor’s degree or higher in Mathematics, Statistics, or a closely related quantitative field, providing a strong foundation in statistical theory and experimental design
• Proven expertise in hypothesis testing, design of experiments, and statistical methodologies critical to experimentation science
• Solid programming skills in at least one language such as Python, R, or PySpark, with the ability to write clean, maintainable code to support research and implementation
• Experience applying statistical rigor to real world business problems, with the ability to independently lead and deploy methodologies at scale
• Strong analytical mindset with the capacity to research, evaluate, and implement new statistical approaches and simulation frameworks
• Excellent communication skills to clearly explain complex statistical concepts and results to both technical and non technical stakeholders
• Ability to work collaboratively within a small, focused team and liaise effectively with platform engineers and business partners
• Prior experience in experimentation platforms or A/B testing environments is highly desirable
• Autonomy and accountability to serve as a point of contact for statistical methodologies within the team

Accommodation requests

If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.

We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award winning culture by organizations like Forbes, TIME, Disability:IN, and others.

Expedia Group’s family of brands includes: Brand Expedia Expedia Partner Solutions, Vrbo , trivago , Orbitz , Travelocity , Hotwire , Wotif , ebookers , CheapTickets , Expedia Group Media Solutions, Expedia Local Expert and Expedia Cruises . 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST:

Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain The official website to find and apply for job openings at Expedia Group is

Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

The Role

As a Senior Revenue Engineer in our YourParkingSpace business, you’ll play a key role in building the infrastructure and systems that power pricing and revenue optimisation across our platform.

This role sits at the intersection of backend engineering, data engineering, and pricing systems. You’ll design and build scalable services, pipelines, and APIs that enable pricing logic, experimentation, and automation across our marketplace.

You will work closely with Pricing, Data, Product, and Engineering teams to productionise pricing models and ensure pricing systems are reliable, observable, and built to scale.

This is a hands on engineering role focused on building robust, production grade systems that support revenue critical decision making.

You’ll be helping build the next generation pricing infrastructure powering urban mobility platforms, directly influencing how pricing, supply, and demand interact across our marketplace.

Your work will have real, measurable impact on revenue, utilisation, and customer experience - while helping shape the systems that power the future of parking and mobility.

How to make an impact

• Design and build scalable pricing infrastructure, including pricing engines, rule frameworks, and supporting APIs.
• Build and maintain data pipelines and operational data models that power pricing logic, experimentation, and analytics.
• Develop systems for capturing, processing, and serving pricing data across internal and external platforms.
• Work closely with Pricing/Data Scientist to productionise machine learning models, including feature pipelines, deployment workflows, and monitoring.
• Ensure pricing systems are reliable, observable, and fully automated, with strong CI/CD, testing, and monitoring practices.
• Implement scalable solutions that avoid technical debt and support long term platform architecture.

Your background

• 5+ years of backend engineering experience building production systems, ideally in marketplaces, platforms, or pricing driven environments.
• Expertise in PHP and the Laravel ecosystem, with a focus on building secure, performant backend services for complex pricing or logic heavy applications.
• Strong Python and SQL skills, with experience building data pipelines, backend services, and operational data models.
• Experience designing scalable APIs and data capture systems that support configuration driven or rule based logic.
• Experience productionising machine learning models in collaboration with Data Science teams (feature pipelines, deployment, monitoring, retraining workflows).
• Strong understanding of cloud infrastructure, CI/CD pipelines, and automated testing.
• Experience building revenue critical systems with strong observability and monitoring.
• Ability to take a first principles approach to system design, thinking deeply about architecture, scalability, and long term maintainability.

(Nice to haves)

• Experience building pricing engines, experimentation platforms, or optimisation systems.
• Experience working with marketplace or dynamic pricing environments.
• Familiarity with modern data stacks and orchestration tools.

Hybrid working role based in our London offices (SE1): 3 days in the office, 2 days from home per week.

Location

London

Employment Type

Full time

Location Type

On-site

Department

AI

Perplexity is excited to announce the Internship Program for exceptional Master’s or PhD students studying Computer Science or Engineering in the UK, enrolled in the academic year. This is an intensive program in which you will work directly with our AI Inference team. This program offers a unique opportunity to gain valuable experience in a rapidly growing AI startup. Outstanding performers might be offered a full time position at the end of the program.

Our AI Inference team is responsible for running the models behind the Perplexity products. The team maintains the inference engine and deployments behind models ranging from single-node embeddings to distributed sparse Mixture-of-Experts models, maintaining large GPU clusters. With a keen focus on latency and throughput, the Inference team is responsible for the entire serving stack, from GPU kernels to networking and monitoring infrastructure.

Responsibilities

• Work with the inference team to improve serving latency and throughput
• Bring up support for new models and state of the art inference optimizations or quantization schemes
• Optimize inference across the entire stack, from GPU kernels to serving endpoints

Qualifications

• Strong engineering track record with proven knowledge of fundamentals and programming languages (multi threaded programming, networking, compilation, systems programming, etc)
• Pursuing a Master’s or PhD in Computer Science with a focus on performance related subjects (HPC, Compilers, Distributed Systems)
• Experience with ML frameworks (Torch, JAX)
• Experience with GPU programming (CUDA, Triton)
• Experience with High Performance Computing (OpenMPI)

Schedule

• Internship program: 13 weeks, full-time or part-time, in person in London office (hybrid schedule: 3 days from the office, 2 days WFH)

Interview Process

• Fill out the application on Perplexity website
• If selected, People Ops and technical interviews will be involved.
• Offer. We’re impressed! We’d love to welcome you to our Internship program!
• Start. We have a desk waiting for you in our London office!

FAQ

Do you sponsor visas? Can I apply if I need a visa to work in the UK?

Unfortunately we are unable to sponsor visas

What if I’m on a student visa?

You need to seek approval from your University (to determine if you are eligible to work full time or part time only)

How many internship spots are there?

• We have spots for 2-3 interns in our 2025 class.

Is housing provided?

• Unfortunately we cannot provide housing.

Is health insurance provided?

• Unfortunately we cannot provide health insurance for interns. Full time employees receive full health insurance and benefits.

How many full time offers are available at the end of the residency?

• There is no limit. All outstanding performers will be given a full time offer!

At Perplexity, we’ve experienced tremendous growth and adoption since publicly launching the world’s first fully functional conversational answer engine in 2022. We’ve grown from answering 2.5 million questions per day at the start of 2024 to around 20 million daily queries in December 2024. We also offer Perplexity Enterprise Pro, which counts leading companies like Nvidia, the Cleveland Cavaliers, Bridgewater, and Zoom as customers.

To support our rapid expansion, we’ve raised significant funding from some of the most respected technology investors. Our investor base includes IVP, NEA, Jeff Bezos, NVIDIA, Databricks, Bessemer Venture Partners, Elad Gil, Nat Friedman, Daniel Gross, Naval Ravikant, Tobi Lutke, and many other visionary individuals. In 2024, our employee base grew nearly 300%, and we’re just getting started.

Final offer amounts are determined by multiple factors, including experience and expertise, and may vary from the amounts listed above.

Our Client is looking to recruit brilliant Software Developers/Engineers with upwards of 7 to 10 years solid proven track record of developing complex applications with Python coupled with Machine Learning and ideally Go.

We’re looking to recruit initially 2 excellent Software Engineers to work with an existing team of 4 software developers on a very large strategic consulting engagement.

Must be 100% trustworthy with real integrity - this is a highly sensitive project.

Key skills

• Python
• Machine Learning
• ideally Terraform
• Go programming language

If you are excellent with developing software with C++ and/or C# etc then you can easily learn Go.

Excellence is vital.

Ideally have security clearance.

Duration for this assignment will be 3 to 6 months initially with possibility of the role becoming permanent at some point in the future.

The Client has offices in Central London and the project is based in Oxford - and are happy with remote working for the foreseeable future.

They are absolutely committed to family-friendly operations with diversity & work-life balance.

Daily rate for this assignment will be dependent on your expertise - but will be in the range £500 to £2000 per day.

Please note we really are looking for the best software developers - the cream of the crop - or crème de la crème.

Do send your CV to us in Word format along with your daily rate and availability.

Summary

Marcom is the creatively led global team that oversees Apple’s consumer facing marketing. We ensure the flawless development and execution of world class communications across all medias and platforms. Every day, hundreds of millions of Apple customers around the world interact with our products. We drive the strategy and creative work that provide both new and existing customers with simple, engaging and inspiring marketing experiences.

Marcom’s Special Projects Group is a research and development studio, prototyping forward thinking experiences that leverage emerging technologies to advance Apple’s global marketing communications. This nimble, multi disciplinary team of creative technologists, artists and designers works together to drive innovation in rapidly evolving fields such as spatial and generative computing. We partner with teams across the company to evolve how we work with emerging technologies to improve our internal workflows and customer facing experiences.

Description

Apple is looking for a Creative Technologist to join the Marcom Special Projects Group. In this role you would be responsible developing technology that drives innovation in interactive experiences across multiple platforms, with a focus on emerging technologies such as generative AI.

Your time in the studio will be spent collaboratively researching, writing code, prototyping, presenting, and debating ideas. You’ll be responsible for discovering and developing new research, educating and driving adoption of emerging technologies in internal workflows and new customer experiences. Your clear vision of the future of design and technology will inspire our team and others to push the boundaries of what’s possible.

Responsibilities

• Develop prototypes of world class interactive product experiences, using a deep understanding of generative AI and user interface principles.
• Quickly grasp and distill highly complex, ambiguous concepts of nascent technologies and turn them into simple, useful and delightful product experiences.
• Write software for internal tools and define processes that advance Marcom’s creative pursuits across multiple platforms including web, native and generative AI.
• Conduct open ended research, including designing experiments with LLMs, diffusion models and agents, while writing reusable code, running evaluations, and organizing results.
• Create clear and concise documentation, including technical specifications, best practices guides, and presentations, to communicate complex concepts to both technical and non technical stakeholders across the organization.
• Collaborate with engineering teams across Apple to transform prototypes into production ready solutions.
• Exhibit collaborative and diplomatic fluency within a multi disciplinary design studio, using exceptional communication and organizational skills.

Minimum Qualifications

• A diverse portfolio demonstrating proficiency in web and native Apple platform development, including projects utilizing generative AI.
• Proven ability to create hi fidelity interactive prototypes and think through complex interaction design.
• Ability to rapidly adapt and implement new technologies in the service of project goals.
• Bachelor’s degree.

Preferred Qualifications

• At least 7 years of experience in creative tech/ R&D environment, with an emphasis in implementing emerging technologies.
• Proficiency in Python and familiarity with ML tooling such as PyTorch or TensorFlow.
• Hands on experience fine tuning, debugging and optimizing model performance through experimentation.
• Experience building frameworks around models to apply AI solutions to specific problems.
• Ability to cut through ambiguity and find a path forward, despite uncertainty or challenges.
• Excellent communication and presentation skills, with the ability to build trust and influence while advocating for your ideas.
• Deep subject matter technical expert, paired with high level of curiosity and eagerness to learn.
• Intrinsic ability to educate and inspire others, influencing the adoption of new technologies and workflows.
• Degree in Design, Human Computer Interaction, Computer Science, or a related field.

At Apple, we’re not all the same. And that’s our greatest strength. We draw on the differences in who we are, what we’ve experienced and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. As a registered Disability Confident employer, we will work with applicants to make any reasonable accommodations. Apple will consider for employment all qualified applicants with criminal backgrounds in a manner consistent with applicable law.

Senior Consultant - Data ArchitectLocation: London, United KingdomEmployment Type: Full-TimeIndustryJob Family: TechnologyCareer Level: Experienced Architect and implement end-to-end data solutions that address complex business problems, from data ingestion and processing to analytics and visualisation Collaborate with cross-functional teams to design, develop, and maintain scalable data pipelines and ETL processes to support analytics, business intelligence and data science initiatives Design data solutions that integrate both modern and legacy platforms, ensuring seamless data flow and accessibility Develop and maintain conceptual, logical, and physical data models (dimensional, relational, and/or data vault) Establish architectural best practices covering security, performance, scalability, and cost optimisation Design and own end-to-end data architecture solutions aligned to business and technology strategy Provide technical leadership, architecture governance, and design documentation across data initiatives Develop and maintain data models, schemas, and metadata repositories Implement robust data quality frameworks and governance policies to maintain data integrity, security, and compliance throughout the data lifecycle Leverage AI technologies to enhance data solutions through intelligent automation, anomaly detection, and predictive data quality monitoring, while ensuring ethical AI practices and governance Translate complex data insights into compelling visual narratives and actionable recommendations for both technical and non-technical stakeholders Adopt and communicate new concepts, ideas, techniques, and best practices, including prototyping new architecture methods, tools and products that might provide future value to our clients IDEALLY, WE’D LIKE: Total Rewards associated with this position include a comprehensive benefits package designed to support your well-being and financial security. Unique perks include flexible time off, a private medical plan, a health cash plan, a workplace savings scheme (including ISAs and GIAs), and enhanced parental leave. Applicants must be authorized to work in the United Kingdom, without the need for visa sponsorship by North Highland. Work visa sponsorship will not be provided, either now or in the future, for this position. North Highland is an equal opportunity employer, and we adhere to all applicable laws and regulations to ensure a fair and equitable workplace. All qualified applicants will receive fair and impartial consideration without regard to race, color, sex, gender identity, religion, national origin, age, sexual orientation, disability, veteran status, or any other characteristic protected by law. We handle all information in accordance local privacy standards and maintain strict confidentiality.This role is primarily responsible for delivering data and analytics work using modern data platforms and analytical techniques. YOU WILL: MAKE STRATEGY A REALITY ACCELERATE YOUR GROWTH CHOOSE YOUR PATH As the world’s leading change and transformation consultancy, we’re helping businesses move from strategy to reality by taking a pragmatic and practical approach to build solutions that last. We’re seeking a Senior Consultant - Data Architect in London in Technology & Data to help us take vision to value and create lasting impact. SUMMARY Bachelor’s or foreign equivalent degree in computer science, computer engineering, data engineering, or a related field 5+ years of experience in data engineering, including designing and implementing ETL processes, data pipelines, and data storage solutions, ideally with 2+ years of experience leading data engineering projects or workstreams Extensive experience with cloud platforms and their data services, with relevant cloud data engineering certifications (e.g., AWS Certified Data Analytics, Google Professional Data Engineer, Microsoft Certified: Azure Data Engineer Associate) Knowledge of data governance principles and best practices Experience working with data visualisation techniques and tools (e.g., PowerBI, Tableau, Looker) and deploying enterprise-wide analytics dashboards Experience with AI and machine learning integration in data solutions, including working knowledge of AI governance frameworks and ethical considerations Demonstrated ability to translate data insights into business value and communicate complex technical concepts to executive stakeholders Strong ability to work independently and collaboratively in a dynamic, hybrid environment Strong communication skills and ability to translate complex technical concepts to non-technical stakeholders Travel: regional travel expected on an as-needed basis, depending on client needs, up to 50%

Senior AI Engineer page is loaded Senior AI Engineerlocations: Londontime type: Full timeposted on: Posted Todayjob requisition id: JR0573 Mission Statement & Summary We're hiring a Senior AI Engineer to design and deliver AI systems across the business.This is a hands-on role focused on building production-grade solutions using LLMs and agentic systems, embedding AI directly into core business processes rather than building isolated prototypes. You'll take high-value problems and turn them into scalable, reliable systems used in real workflows, driving measurable business outcomes.You'll contribute significantly to technical direction, architecture, and implementation, translating defined business priorities into robust, production-ready systems. You'll make key technical contributions and work hands-on alongside engineers to deliver solutions that are reusable, scalable, and built for long-term impact. How You'll Contribute Design and implement AI systems end-to-end, contributing to technical direction and architecture Build LLM-powered and agent-based solutions from concept through to production Contribute to engineering standards, patterns, and reusable components across use cases Make informed technical decisions on models, tooling, infrastructure, and system design within agreed architectural direction Ensure systems are robust, observable, and production-ready (evaluation, monitoring, guardrails) Provide technical guidance and mentorship to engineers contributing to AI initiatives We're Looking For These Essential Skills Proven experience delivering production-grade AI systems end-to-end Experience designing and implementing complex AI systems across multiple use cases or domains Strong expertise in generative AI / LLMs, including orchestration, prompting, and evaluation Experience building agentic or multi-step AI systems Strong software engineering fundamentals including APIs, system design, and cloud-based architectures Ability to operate effectively in ambiguous or fast-moving problem spaces Experience contributing to and influencing engineering standards and practices across projects It's a plus if you also have these skills Experience contributing to AI platforms or reusable frameworks and patterns Familiarity with LLMOps / MLOps and production evaluation practices Experience embedding AI into core business processes or enterprise systems Experience working in large-scale or regulated enterprise environments 26 days holiday, rising to 30 with service A holiday buy scheme (up to 5 extra days) Double matched pension, with up to 14% from NewDay Generous annual performance bonuses Private medical insurance with Bupa, including mental health support and cancer care 26 weeks paid maternity, adoption and shared parental leave Free breakfast and lunch in the office every day, provided by our in-house chefs and more, which you can explore !At NewDay, we value all types of diversity. We're an equal opportunity employer and believe that our differences create a vibrant, authentic working culture. We want all our colleagues to feel able to bring their whole selves to work. We don't discriminate on the basis of protected characteristics or identities. We make sure that every job is crafted to be inclusive and that people with disabilities or caring responsibilities can take part in the application and interview process.Tell us if you need accommodations: We'll put reasonable adjustments in place to support you.We work with Textio to make our job design and hiring inclusive.Permanent

A leading Tech driven Exchange based in London is expanding its current high performance team in London.
You will work on their state of art ultra-low latency trading systems across asset classes (equities, commodities, currencies, fixed income) that trade on global exchanges.

The role:

• Design, develop and test proprietary software in C++
• Trading strategy simulation software optimized for distributed computation.
• Large scale data acquisition, storage, accessibility, and visualization.
• Real time trade management and risk analysis.
• Identify innovative solutions to complex problems and advocate for their implementation to your team by communicating your ideas in a clear and concise manner.
• Collaborate with other software developers, quantitative traders, and researchers in cross-functional team environments.

You need:

• 5+ years of hands on Software Development experience in C++, STL, Boost, Linux.
• A good understanding of networking, multicasting, UDP.
• A passion for new technologies and ideas.
• Strong understanding of data-structures & algorithms.
• Good working knowledge of Python.

You must be living in the UK with full right to work, and you can commit to at least 3 days in the office. (London)

Contact Ciara Clarke for a confidential discussion on this role.

At GSK, we are actively working on building a future in which state of the art software, Artificial Intelligence (AI) and Machine Learning (ML) enable us to develop new therapies and personalized medicines that drive better outcomes for patients at reduced cost with fewer side effects. This ambitious mission requires scalable, cloud native solutions at the forefront of Software Engineering, Cloud Infrastructure, Efficient Compute, Machine Learning and AI. If this excites you, we would love to chat.

About the Role

To strengthen our AI for Science (AI4S) team, we are looking for Software Engineers with a track record in developing production grade, data driven software solutions. You will drive the development of scalable cloud infrastructure and efficient compute solutions to support large scale AI models and agentic systems - building robust, high performance software that enables scientific research using modern cloud technologies and the vast biomedical data sources available at GSK.

In this role you will

• Create scalable infrastructure and software solutions to support large scale AI models and agentic systems across the entire software development lifecycle.
• Design and implement sophisticated machine learning and deep learning pipelines that can handle massive amounts of data with optimal resource utilization.
• Develop and maintain cloud native architectures that enable seamless deployment and scaling of AI/ML workloads.
• Deliver robust, tested and high performance code in an agile environment.
• Collaborate with AI/ML engineers, data scientists, and domain experts to ensure fit for purpose infrastructure and data pipelines for cutting edge scientific projects.

Qualifications & Skills

• A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering, among others) OR equivalent work experience as a professional software engineer.
• Advanced programming expertise in Python and a track record of delivering robust, scalable software solutions.
• Experience with cloud platforms (AWS, GCP, Azure) and cloud native architectures.
• Passion for software design and commitment to developing reusable, scalable, and testable software components.
• Basic understanding of at least one major deep learning framework (PyTorch, JAX, TensorFlow).
• Knowledge of command line tools and shell scripting.
• Knowledge of software engineering best practices, including continuous integration, continuous deployment, containerization, and infrastructure as code.
• Strong problem solving and debugging skills, and experience working in cluster settings or cloud based environments.
• Fluency in English.

Preferred Qualifications & Skills

• Familiarity with machine learning principles and state of the art modelling approaches.
• Experience in design, development, and deployment of commercial cloud native software and infrastructure.
• Experience building and deploying large scale AI models and agentic systems in production environments.
• Experience architecting, developing, and deploying distributed training pipelines for large models with PyTorch or TensorFlow.
• Expertise in performance optimization, cost optimization, and efficient compute resource management in cloud environments.
• Contributions to relevant open source projects.
• Knowledge or interest in disease biology, molecular biology, and medicine.
• Experience working with biomedical data (e.g., genomics, transcriptomics, proteomics, electronic health records, clinical images).

Salary and Benefits

If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges from $136,125 to $226,875. The US salary ranges take into account a number of factors including work location within the US market, the candidate’s skills, experience, education level and the market rate for the role.

The position also offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave.

Equal Opportunity Employer

GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.

At Feeld, we are creating a world where where everyone is more intimately connected to each other and themselves. We are building an inclusive, human-centred product and are looking for a Senior Backend Monetization Engineer to become part of our remote team and our mission to elevate the human experience of sexuality and relationships.

You will be responsible for designing, building, and operating scalable, secure backend systems that power the company’s revenue-generating experiences to ensure monetisation flows are reliable, compliant, observable, and performant at scale.

To be right for this role, you should have extensive experience in Backend development with some specific experience with in-app purchases, pricing, and other revenue-related services.

What you will do:

• Drive outcomes, not just features. You’ll own the health of our monetisation funnel and be responsible for the reliability and performance of the systems that keep Feeld sustainable.
• Design and maintain scalable backend systems that support integrations related to subscriptions, billing, entitlements, pricing logic, and promotional mechanics as the user base grows.
• Ensure high reliability and correctness of monetisation flows, minimising revenue-impacting incidents and reducing time-to-detection and resolution.
• Enable faster experimentation by supporting feature flags, testing, and analytics instrumentation across monetisation systems.
• In partnership with the Data team, build and maintain analytics and reporting capabilities that provide insight into revenue performance, user behavior, and system health.

How you will grow:

• Deepen your expertise in designing and operating revenue-critical systems at scale.
• Develop advanced skills in system observability, monitoring, and incident response for high-throughput financial workloads.
• Expand your knowledge of analytics infrastructure, experimentation frameworks, and data-driven product development.
• Improve your collaborating skills with non-technical partners by translating complex technical concepts into clear business insights

About you:

• You have experience designing, building, and maintaining backend services that handle high-throughput, business-critical workloads such as payments, subscriptions, or financial systems.
• You are comfortable working with databases, APIs, and ensuring data integrity and security in production environments.
• You are skilled at communicating technical concepts clearly to non-technical cross-functional partners.
• You approach problems with curiosity and systems thinking, balancing technical excellence with business impact and user experience.

Bonus points:

• You have experience building or maintaining subscription platforms, billing systems, or working directly with payment providers like Adapty, Stripe, RevenueCat, or Apple/Google in-app purchase APIs.
• You have worked with analytics pipelines, experimentation frameworks, or feature flagging systems to support data-driven product decisions.
• You have mentored other engineers or led technical initiatives that improved system reliability, performance, or developer experience.
• You have experience with mobile backend integration or supporting cross-platform monetisation flows across iOS, Android, and web.

About us:

Feeld is an independent, experimental and fully remote organisation reshaping the dialogue on dating and sexuality. The company was founded in 2014 and has evolved since to become the open, distributed structure it is now. We have a naturally agile and fluid culture. The whole team is fully remote, which means you work where and when helps you perform at your best. We regard autonomy highly and treat our organisation as a product - we iterate, improve and test things internally to see what works best for everyone.

Our culture:

We believe in creating a safe work environment through humanity, fluidity, safety, transparency and progressiveness. When hiring, we look for culture add rather than culture fit.

Because we are a fully remote team, it’s especially important that we create an environment where our colleagues feel included and connected as humans.

Diversity, equity, inclusion and belonging at Feeld:

Feeld promotes open-mindedness, inclusion, diversity and kindness, both in the world and among our own workforce.

We encourage and welcome applications from people with a history of marginalisation, whether because of race, gender expression or identity, sexual orientation, neurodivergence, national origin, disability (seen or unseen) or any confluence of intersectional identities.

Our goal is a barrier-free application process and working environment. If you require further details or assistance or have any questions about this process, please let us know at .

Compensation and perks:

We are conscious of how our work and decisions impact other humans and the environment. We design our product and organisation with consideration for the wellbeing of our Members and colleagues. Feeld’s way of working is designed to proactively prevent burnout and an “always on” culture. We believe in technology and working environments that enable people to live a meaningful, fulfilled life.

Therefore, we offer our staff:

• Flexible working hours
• Unlimited paid time off
• A fully remote working situation
• Home office budget
• Learning & development budget
• On demand therapy sessions and mental health support via Spill
• In-person meet ups

Our compensation system is one of the ways we work to uphold equity and inclusion at Feeld. Just as we strive to enable honest expression on our platform, we strive for openness of information within the organization. Internally, we keep decision-making transparent to keep each other accountable and make sure all voices are heard. That is why we offer a compensation system that is transparent, honest, and equitable. Additionally, we believe all humans deserve to earn a competitive wage, so we offer a Baseline Freedom Salary of £60,000 GBP per year for any role that indexes below £60,000 GBP per year.

Estimated compensation for this role:

• The total cash compensation for this role is dependent on Level and Step, as well as geographic location, but we estimate that the competitive market compensation for this role is between £75,000 - £110,000 GBP based on the requirements listed in this job description.

Our interview process:

• Your first conversation with Feeld will be a screening call with our recruiter, where you’ll be able to ask - and receive answers - regarding any general questions you have and to confirm the role is a fit for what you’re seeking.
• Your second conversation will connect you directly with the hiring manager for the role you’re applying to. Here, you’ll have a chance to ask more questions about the work you’ll be doing. This conversation will also focus on your past work experiences.
• The next step for most of our roles is a candidate challenge. This is an evaluation of the skills relevant to be successful in this role and generally takes about an hour to complete.
• Your third conversation allows you the opportunity to meet the team members you might be working with on a daily basis. Here, you’ll be able to ask questions about team processes, workflow, and the employee experience at Feeld.
• We generally make an offer within 2 weeks of our final call, and offer a flexible start date that can begin as early as the next Monday after you sign our offer documentation.
• Of note: all of our interviews are conducted remotely, and our interviewers will work with you to find an agreeable interview time based on mutual availability.

We understand we’re asking you to invest your time and best efforts in our process, and are appreciative of getting the chance to better know who you are as a person and candidate. In return, we’re committed to offering transparent communication and prompt feedback as you navigate this application with us.

To find out more about Feeld, download our app (available on iOS and Android).

Emergn is a technology and management consultancy with a mission to set our clients free. No dependency. No short-term fix. Just teaching them the real cure to their problems, so they can stay ahead of their competitors now and forever.

A different kind of consultancy like this needs a different kind of team. One you might be just the right fit for.

Here you might: - Make a real difference. You solve problems for real. No endless engagements or running up the clock. You get to see how change really works for some of the world’s greatest businesses.

• Never stop growing. We turn our expertise back on ourselves. You’re always learning, stretching your thinking at the cutting edge of how organizations grow, which means staying at the cutting edge of your own growth too.
• Belong everywhere. We’re a global community of experts who work without borders. Friendly, supportive, and genuinely collaborative. Because when you’re trying to change an industry, you need people who have each other’s backs.

As an Automation Programmer at Emergn, you’ll work across the full stack, collaborate with cross functional teams, and contribute to scalable, high-quality delivery.

Join our team and let’s change the game together!

We want you to:

• Design, develop, and maintain automation solutions within ShareDo or similar legal technology platforms.
• Build and optimize workflows, case management systems, and document automation processes to support legal operations.
• Collaborate with legal and technical teams to translate business requirements into scalable, automated solutions.
• Ensure data integrity, compliance, and security standards are met in all automation implementations.
• Monitor performance and continuously improve workflows to enhance productivity and user experience.
• Stay updated on trends in legal automation, workflow platforms, and no/low code tools.

This job might be for you if you:

• Software development experience, ideally with SaaS platforms.
• Experience designing and configuring no code / low code workflows for complex business processes.
• Ability to work across UI, backend, and database layers.
• Experience with complex domains and integrations.
• Interest in using AI to enhance engineering work.

Nice to have:

• Knowledge of .NET CLR internals or advanced SQL tuning.
• Experience with event driven architectures or event sourcing.
• Familiarity with Elastic, Kurrent, Azure, or Pulumi.

What we offer:

• Work within a dynamic international team of experts.
• Excellent opportunity for personal and professional development.
• Flexible work model and the freedom to choose the tools that suit you best - Mac or Windows.
• Ability to work with modern technologies.
• Extensive catalogue of educational programs, the possibility of training and certification at the expense of the company.
• Health and life insurance.
• 23 vacation days yearly.
• Birthday gift.

About Emergn

We’re Emergn. A technology and management consultancy that believes sustainable competitive advantage doesn’t come from the latest tech or hottest trend - it comes from the way you work.

That’s why our goal is to embed a complete work operating system within our customers’ businesses, so they stop reacting to change and start creating it. We do this across three areas: shaping processes to be faster, clearer, and more innovative; developing people so inspiration comes from within the organization; and designing technology solutions that bring it all together.

The result? Companies don’t just get ahead for a moment. They stay ahead for an era. And make it theirs.

London, United Kingdom Posted on 20/04/2026

London (Hybrid - 3 days/week onsite) 6 Month Contract Role (Inside IR35 - Competitive Day Rate)

About the Role

We are seeking an experienced AI Engineer with a strong data engineering foundation and a passion for solving real-world trading problems. You will work directly with traders and analysts, building AI-powered analytics and data solutions that deliver actionable insights from market pricing and fundamental data-often in near real time.

This role sits at the intersection of AI, data engineering, and trading, with a focus on rapid prototyping, stakeholder collaboration, and production grade delivery using modern Azure and Databricks ecosystems.

What You’ll Do

• Design and deliver AI-driven analytics for front office use, including forecasting, seasonality, correlation, regression, and scenario modelling
• Build scalable, reusable data pipelines using Databricks (PySpark/Spark, Delta, Unity Catalog), optimizing performance, cost, and reliability
• Develop real time and near real time data solutions to support trading and reporting needs
• Translate complex trading problems into prototypes and MVPs, iterating rapidly based on feedback
• Partner closely with traders and analysts to understand requirements and communicate insights effectively
• Implement LLM and agent based workflows (prompt engineering, orchestration, retrieval, tool usage, and guardrails)
• Perform statistical and econometric analysis on large scale time series datasets
• Productionize solutions with robust testing, observability, CI/CD pipelines, and documentation
• Enable reporting and data access via tools such as Power BI and similar platforms

What You’ll Bring

• Strong hands on experience with Databricks and Spark (PySpark, SQL, Delta Lake, Unity Catalog)
• Solid foundation in statistics, econometrics, or data science-particularly with market time series data
• Experience building AI/ML and LLM based solutions (prompting, retrieval, agent workflows)
• Proficiency in Python and modern data/ML tooling (e.g., MLflow, feature stores, vector databases)
• Familiarity with CI/CD, Terraform, and production grade engineering practices
• Excellent communication and stakeholder management skills, with the ability to work directly with front office users

Nice to Have

• Experience in commodity or financial trading environments
• Understanding of market fundamentals, derivatives, P&L, contracts, and trading lifecycle
• Knowledge of market micro structure, supply demand dynamics, and risk management concepts

Ways of Working

• Hybrid model with close collaboration alongside trading teams
• Fast paced, iterative delivery: prototype quickly, refine with users, and scale to production
• Strong focus on engineering excellence, including automated testing, governance, and operational reliability
• Ability to work independently while leveraging support from a broader data and engineering team

Who You Are

• A pragmatic problem solver who thrives in ambiguous, high impact environments
• Comfortable bridging the gap between technical solutions and trading needs
• Driven to deliver measurable value through AI and data

If you’re excited about applying AI and advanced analytics in a trading environment and working directly with front office stakeholders, we’d love to hear from you.

For additional information, please review . Technical Lead in EMEA for Trading (Securities Lending) - SVP Engineer the future of global finance. At Citi, our Tech team doesn't just support finance - we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech. Equities Tech Equities Technology at Citi is undertaking a bold, multi year transformation to build a best in class global platform across execution, prime, clearing and cross product margining. We are re engineering our technology estate to achieve world leading performance and resiliency, enabling new capabilities in advanced execution, global market connectivity, and modernised post trade, clearing and margin processes. Our ambition is to deliver a seamlessly integrated, highly automated platform that drives outstanding client outcomes and accelerates growth across our global franchise. As part of the team, you'll collaborate closely with high calibre engineers and deeply engaged business and product partners - working together to define and deliver the next generation of Equities technology at Citi. What We do / The Team The Equity Finance Technology team are seeking a technical lead position as a highly skilled engineer for the Trading platform, located in London. This role requires strong expertise in Java, messaging frameworks, caching and low latency systems to build business solutions through agile delivery. The successful candidate will be required to lead a team of developers locally to execute on an aggressive business agenda. Responsibilities: Develop platform vision and strategy to support Prime Growth, working closely with the global technology leads. Deliver on an aggressive agenda whilst providing technical oversight of a team of developers locally Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards Ensure change is managed with appropriate controls, documentation, and approvals including implementation of new and revised regulatory reporting requirements Solve the highest-impact, highest-profile problems with significant business impact through in-depth evaluation of complex business processes, system processes and industry standards Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint Utilise advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals Contribute to technical direction and strategic decisions as a technical expert in all development and implementation phases, providing in-depth and sophisticated analyses to define problems and develop innovative solutions Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions Serve as adviser or coach to mid-level developers and analysts, allocating work as necessary Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgement regarding personal behaviour, conduct and business practices, and escalating, managing and reporting control issues with transparency. Key Skills and Experience required Extensive relevant experience in Applications Development and previous leadership of developers Awareness of building event based systems with low latency trading requirements Experience in Equity Finance / Securities Lending Comprehensive experience with all phases of Software Development Life Cycle, including Agile delivery Demonstrated ability to work under pressure managing multiple activities and changing priorities Proven interpersonal, management and prioritization skills Ability to adjust priorities quickly as circumstances dictate Excellent interpersonal and communication skills with the ability to manage stakeholder expectations Flexibility to work with a global team, across geographies and time zones Technical Skills Technical skills in Java, Kafka, Distributed Caching, SQL, Git Experience in performing QA, TDD and BDD practices Experience with building containerised solutions that horizontally scale Exposure to AI solutions to accelerate development Proven ability to work in high pressure environment Strong problem-solving skills and ability to think strategically Any Beneficial / Nice to have skills and experience: React and full stack development Knowledge of Prime Services is a plusThis job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. What we'll provide you By joining Citi, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resourcesAlongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. Job Family Group: Technology Job Family: Applications Development Time Type: Full time Most Relevant Skills Please see the requirements listed above. Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review . View Citi's and the poster.

Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent

Shape intelligent solutions. Lead with insight. Drive data innovation.

The Role
We are looking for a Senior Data Scientist to join Capco’s growing UK Data Practice. You will play a leading role in designing and implementing cutting-edge data science solutions across financial services. This is an opportunity to build intelligent systems that drive commercial and customer outcomes - while mentoring others and collaborating in a dynamic, multi-disciplinary environment.

What You’ll Do

• Lead the end-to-end delivery of data science solutions including PoCs, MVPs and production deployments
• Develop and prototype ML models to solve complex business challenges using modern techniques and tooling
• Collaborate closely with engineers, domain experts, and business teams to translate requirements into deliverables
• Guide and coach data science pods, supporting skill development and solution design
• Act as a subject matter expert on ML architecture, model calibration and productionisation

What We’re Looking For

• Hands-on experience building and deploying data science solutions in Python and related ML libraries
• Strong background in applied machine learning, model development and data engineering
• Experience with cloud environments (Azure, AWS, GCP) and tools such as Spark, Hive, Redshift
• Demonstrated ability to lead cross-functional teams and mentor junior practitioners
• Ability to communicate complex technical concepts clearly to non-technical audiences

Bonus Points For

• Participation in Kaggle or other data science competitions
• Experience with MLOps practices (CI/CD, model monitoring, DevOps integration)
• Familiarity with advanced NLP frameworks such as spaCy or Transformers
• MSc or PhD in a numerate discipline
• Financial services or banking experience

Why Join Capco

• Deliver high-impact technology solutions for Tier 1 financial institutions
• Work in a collaborative, flat, and entrepreneurial consulting culture
• Access continuous learning, training, and industry certifications
• Be part of a team shaping the future of digital financial services
• Help shape the future of digital transformation across FS & Energy.

We offer a competitive, people-first benefits package designed to support every aspect of your life:

• Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover.
• Mental Health: Easy access to CareFirst, Unmind, Aviva consultations and in-house first aiders.
• Family-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause and bereavement.
• Family Care: 8 complimentary backup care sessions for emergency childcare or elder care.
• Holiday Flexibility: 5 weeks of annual leave with the option to buy or sell holiday days based on your needs.
• Continuous Learning: Minimum 40 Hours of Training Annually: Take your pick - workshops, certifications, E-learning - your growth, your way. Also, Business Coach assigned from Day One: Get one-on-one guidance to fast-track your goals and accelerate your development.
• Healthcare Access: Convenient online GP services.
• Extra Perks: Gympass (Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work and dental insurance.

Inclusion at Capco
We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know - we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our culture encourages individuality and collaboration - a mindset that shapes how we work with clients and each other every day.

Are you passionate about revolutionizing the Architecture, Engineering, Construction, and Ownership (AECO) industry through next-generation artificial intelligence? AWS Data Center Design Engineering is seeking an exceptional Applied Scientist with Building Information Modeling (BIM) domain expertise to transform how we design and deliver Amazon’s global data center infrastructure.

In this role, you will build state-of-the-art machine learning systems that accelerate data center design workflows by automating building design tasks in BIM environments and ensuring compliance with building codes and design standards. You will work across both structured data (BIM models from Autodesk Revit, 3D geometries, spatial relationships) and unstructured data (construction drawings, specifications, submittals) to develop production-grade ML solutions.

This position offers a unique science breadth, spanning graph neural networks, natural language processing, reinforcement learning, and computer vision, with the opportunity to research and apply novel techniques against real-world engineering challenges at unprecedented scale. You will collaborate closely with architects, structural engineers, MEP engineers, construction managers, UX designers, product managers, and software development teams to translate research innovations into deployed systems that deliver measurable customer impact.

Key Job Responsibilities

• Drive end-to-end GenAI projects with high complexity and ambiguity from conception to production
• Build, adapt, evaluate, and deploy ML models for BIM and AECO applications, collaborating with software engineers for productionization
• Research innovative machine learning approaches and identify new opportunities for GenAI applications in the building engineering and design domain
• Design and implement model architectures, train and fine-tune foundation models using domain-specific datasets, and optimize performance through iterative experimentation
• Process and prepare training data, including data governance, provenance tracking, quality checks, and creating reusable data pipelines
• Define research roadmaps aligned with business priorities, balancing foundational research with incremental product improvements for AECO applications
• Represent the team in the broader science community, publishing findings, delivering tech talks, and staying at the forefront of GenAI and BIM research
• Collaborate with a cross-functional team of ML scientists, building engineers, software engineers, UX designers, and product managers, and present results to senior leadership

Basic Qualifications

• PhD, or a Master’s degree and experience in CS, CE, ML or related field
• Experience in building models for business application
• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• Experience programming in Java, C++, Python or related language
• Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high-performance computing
• Experience working with data from the Architecture, Engineering, Construction (AEC) industry or related domains, such as Building Information Models (BIM), CAD, 3D geometry, spatial computing, construction drawings, specifications, or building code regulations

Preferred Qualifications

• Experience using Unix/Linux
• Experience in professional software development

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Amazon values diversity and encourages all qualified candidates to apply.

AI Solutions Architect

Translate customer pain points into AI agents, workflows, and decision support experiences that solve real business problems. Design end to end solution architectures covering data sources, integrations, APIs, orchestration, retrieval, guardrails, human in the loop workflows, and deployment approach. Build or guide technical prototypes, proofs of concept, and pilot solutions that validate business value quickly. Partner with Product, Engineering, Customer Success, and Delivery teams to move solutions from discovery to implementation and adoption. Own technical scoping and solution planning, including requirements, assumptions, dependencies, risks, timelines, and stakeholder alignment. Act as a trusted advisor to customers, explaining technical tradeoffs clearly to both technical and non technical audiences. Drive measurable business outcomes such as faster time to resolution, improved first time fix, increased remote resolution, stronger adoption, and better customer experience. Create reusable implementation assets, reference architectures, playbooks, and industry specific patterns that improve repeatability and speed. Ensure solutions are scalable, secure, explainable, and aligned with customer governance and compliance requirements.

Partner AI Deployment Engineer (AWS)

As a Partner AI Deployment Engineer focused on AWS, the role involves serving as the primary technical counterpart to AWS field leadership, shaping strategy, defining engagement models, and building scalable systems globally. Responsibilities include influencing joint account strategy and technical direction, leading technical strategy for large enterprise engagements, guiding customers from ideation through architecture design to production deployment, and acting as a technical decision maker and escalation point. The role requires designing and communicating AI architectures using OpenAI and AWS services, building prototypes and reference implementations, establishing best practices for scalable and secure GenAI systems, and enabling AWS and partners through scalable technical motions such as workshops and playbooks. It also includes mentoring partner technical teams, scaling impact through GSIs, RSIs, and ISVs, collaborating cross functionally with Alliances, Product, Engineering, GTM, and Enablement teams, delivering insights to inform product roadmaps, and contributing to internal knowledge systems and standards for the AI Deployment Engineering function.

Agent Engineer

The Agent Engineer is responsible for partnering with customers and internal teams to design and deploy scalable AI agent architectures. Initially, the role involves ramping up on Vapi’s platform architecture, APIs, and agent capabilities, shadowing customer deployments and technical discovery calls, and learning technical architecture of current enterprise implementations. Subsequently, the role includes leading technical discovery with customers, designing solution architectures, building rapid prototypes using AI assisted development tools, and producing architecture diagrams and technical documentation for customer deployments. Ultimately, the engineer owns end to end technical design for enterprise deployments, architects complex integrations using APIs, webhooks, and event driven systems, and partners with engineering and product teams to identify platform improvements based on customer feedback.

AI Deployment Engineer - OpenAI Codex

The AI Deployment Engineer serves as the primary technical subject matter expert on OpenAI Codex for a portfolio of customers, embedding deeply with them to enable their engineering teams and build coding workflows. They partner directly with customers to design and implement AI enhanced development workflows, from rapid prototyping through scalable production rollout. The role involves building high quality demos, reference implementations, and workflow automations using Codex as part of the development process. The engineer leads large format workshops, technical deep dives, and hands on enablement sessions to help engineering organizations adopt AI coding tools effectively and safely. They contribute technical content including examples, guides, patterns, and best practices to the OpenAI Cookbook to help the broader developer community accelerate their work with Codex. Gathering high fidelity product insights from real customer deployments, they translate these insights into clear product proposals and model feedback for internal teams. The engineer influences customer strategy and decision making by framing how AI coding tools fit into their software development life cycle, technical roadmap, and organizational workflows. They also serve as a trusted advisor on solution architecture, operational readiness, model configuration, security considerations, and best practice adoption.

Director of Revenue Transformation - Gong

The Director of Revenue Transformation is responsible for owning Gong’s internal AI operating model within the IT organization, including defining the internal AI roadmap by partnering with Security, Legal, and business leaders. They operate the enterprise AI stack, enforce consistent standards for tool usage and management, and manage the full AI model lifecycle from evaluation to deprecation. They proactively interview internal teams to identify manual workflows suitable for automation using agentic AI and independently build and deploy proofs of concept to demonstrate ROI before scaling. Additionally, they manage the financial aspects such as token procurement and cost forecasting to prevent uncontrolled spend, build dashboards to monitor service levels, usage, cost, and error rates, and identify optimization opportunities for cost saving and performance tuning.

Salary: $148,000 - $225,000
Location: Austin, Chicago, New York City, Salt Lake City, or San Francisco

Deployment Engineer - WRITER

As a deployment engineer at WRITER, you will partner directly with enterprise customers to identify strategic AI use cases and validate their technical feasibility, owning the end to end implementation of tailored AI solutions. You will architect and deliver custom applications, templates, and integrations using WRITER’s platform, APIs, and Knowledge Graph capabilities to solve complex business challenges. Your role includes translating intricate technical concepts and platform capabilities into clear, prescriptive solution recommendations for customers, guiding them through the generative AI landscape. You will collaborate extensively with internal Product and Engineering teams, provide customer feedback that influences the product roadmap and drives innovation. Additionally, you will develop scalable processes, robust documentation, and efficient workflows to reduce customer time to value for technical integrations. You will champion the adoption and expansion of WRITER’s AI solutions within customer accounts to maximize impact and return on investment.

Salary: $131,800 - $185,000
Location: San Francisco, Chicago, Austin, or New York City, United States

Customer Engagement and Delivery Engineer

Own customer engagements end to end from qualified opportunity through technical validation, go live, and ongoing delivery across all customer segments. Build customer specific demos and proofs of concept using Liquid models including LEAP for fine tuning, domain adaptation, and evaluation to drive technical wins. Lead technical discovery by mapping current state customer architectures to Liquid solutions, driving competitive positioning against open source and incumbent models, and quantifying ROI for both cost optimization and new experience use cases. Co own the product field feedback loop by documenting friction patterns, evaluation failures, and capability gaps from engagements and partnering with product and research teams to influence the roadmap. Turn engagement learnings into reusable assets such as reference architectures, solution primitives, demo building blocks, engagement playbooks, and vertical specific solution patterns across Liquid’s priority industries.

AI Agent Solutions Delivery Engineer

Design and deploy AI solutions by working closely with customers to translate their challenges into functional agents, integrating APIs and data sources to automate real business processes. Prototype quickly, build the first version, get it into production, and refine based on real world feedback. Collaborate with customer teams across engineering, product, and operations to ensure the agent performs, scales, and delivers measurable outcomes. Own end to end delivery from discovery call to deployment, leading the technical build, testing, and iteration to ensure the experience feels natural, human, and on brand. Drive adoption and expansion by sharing results, training teams, and embedding within the customer organization to uncover new opportunities for automation and scale. Act as the face of Bland by being the customer’s champion, traveling on site, developing real relationships with customers and stakeholders, hosting training sessions and dinners, and providing unreasonable hospitality.

Technical POC and Discovery Engineer

Run technical discovery, design solutions, and lead POCs alongside Account Executives to close deals, then own onboarding to get customers to first value fast. Build and implement workflows within V7 Go; combining prompt engineering, data pipelines, and integrations to solve real customer problems across document processing and more. Act as the primary technical contact for accounts, handling complex challenges and spotting expansion opportunities as customers scale. Juggle up to 10 concurrent projects while feeding customer insights back to product and engineering.

AI Solutions Architect

Translate customer pain points into AI agents, workflows, and decision support experiences that solve real business problems. Design end to end solution architectures covering data sources, integrations, APIs, orchestration, retrieval, guardrails, human in the loop workflows, and deployment approach. Build or guide technical prototypes, proofs of concept, and pilot solutions that validate business value quickly. Partner with Product, Engineering, Customer Success, and Delivery teams to move solutions from discovery to implementation and adoption. Own technical scoping and solution planning, including requirements, assumptions, dependencies, risks, timelines, and stakeholder alignment. Act as a trusted advisor to customers, explaining technical tradeoffs clearly to both technical and non technical audiences. Drive measurable business outcomes such as faster time to resolution, improved first time fix, increased remote resolution, stronger adoption, and better customer experience. Create reusable implementation assets, reference architectures, playbooks, and industry specific patterns that improve repeatability and speed. Ensure solutions are scalable, secure, explainable, and aligned with customer governance and compliance requirements.

Partner AI Deployment Engineer (AWS)

As a Partner AI Deployment Engineer focused on AWS, the role involves serving as the primary technical counterpart to AWS field leadership, shaping strategy, defining engagement models, and building scalable systems globally. Responsibilities include influencing joint account strategy and technical direction, leading technical strategy for large enterprise engagements, guiding customers from ideation through architecture design to production deployment, and acting as a technical decision maker and escalation point. The role requires designing and communicating AI architectures using OpenAI and AWS services, building prototypes and reference implementations, establishing best practices for scalable and secure GenAI systems, and enabling AWS and partners through scalable technical motions such as workshops and playbooks. It also includes mentoring partner technical teams, scaling impact through GSIs, RSIs, and ISVs, collaborating cross functionally with Alliances, Product, Engineering, GTM, and Enablement teams, delivering insights to inform product roadmaps, and contributing to internal knowledge systems and standards for the AI Deployment Engineering function.

Agent Engineer

The Agent Engineer is responsible for partnering with customers and internal teams to design and deploy scalable AI agent architectures. Initially, the role involves ramping up on Vapi’s platform architecture, APIs, and agent capabilities, shadowing customer deployments and technical discovery calls, and learning technical architecture of current enterprise implementations. Subsequently, the role includes leading technical discovery with customers, designing solution architectures, building rapid prototypes using AI assisted development tools, and producing architecture diagrams and technical documentation for customer deployments. Ultimately, the engineer owns end to end technical design for enterprise deployments, architects complex integrations using APIs, webhooks, and event driven systems, and partners with engineering and product teams to identify platform improvements based on customer feedback.

AI Deployment Engineer - OpenAI Codex

The AI Deployment Engineer serves as the primary technical subject matter expert on OpenAI Codex for a portfolio of customers, embedding deeply with them to enable their engineering teams and build coding workflows. They partner directly with customers to design and implement AI enhanced development workflows, from rapid prototyping through scalable production rollout. The role involves building high quality demos, reference implementations, and workflow automations using Codex as part of the development process. The engineer leads large format workshops, technical deep dives, and hands on enablement sessions to help engineering organizations adopt AI coding tools effectively and safely. They contribute technical content including examples, guides, patterns, and best practices to the OpenAI Cookbook to help the broader developer community accelerate their work with Codex. Gathering high fidelity product insights from real customer deployments, they translate these insights into clear product proposals and model feedback for internal teams. The engineer influences customer strategy and decision making by framing how AI coding tools fit into their software development life cycle, technical roadmap, and organizational workflows. They also serve as a trusted advisor on solution architecture, operational readiness, model configuration, security considerations, and best practice adoption.

Director of Revenue Transformation - Gong

The Director of Revenue Transformation is responsible for owning Gong’s internal AI operating model within the IT organization, including defining the internal AI roadmap by partnering with Security, Legal, and business leaders. They operate the enterprise AI stack, enforce consistent standards for tool usage and management, and manage the full AI model lifecycle from evaluation to deprecation. They proactively interview internal teams to identify manual workflows suitable for automation using agentic AI and independently build and deploy proofs of concept to demonstrate ROI before scaling. Additionally, they manage the financial aspects such as token procurement and cost forecasting to prevent uncontrolled spend, build dashboards to monitor service levels, usage, cost, and error rates, and identify optimization opportunities for cost saving and performance tuning.

Salary: $148,000 - $225,000
Location: Austin, Chicago, New York City, Salt Lake City, or San Francisco

Deployment Engineer - WRITER

As a deployment engineer at WRITER, you will partner directly with enterprise customers to identify strategic AI use cases and validate their technical feasibility, owning the end to end implementation of tailored AI solutions. You will architect and deliver custom applications, templates, and integrations using WRITER’s platform, APIs, and Knowledge Graph capabilities to solve complex business challenges. Your role includes translating intricate technical concepts and platform capabilities into clear, prescriptive solution recommendations for customers, guiding them through the generative AI landscape. You will collaborate extensively with internal Product and Engineering teams, provide customer feedback that influences the product roadmap and drives innovation. Additionally, you will develop scalable processes, robust documentation, and efficient workflows to reduce customer time to value for technical integrations. You will champion the adoption and expansion of WRITER’s AI solutions within customer accounts to maximize impact and return on investment.

Salary: $131,800 - $185,000
Location: San Francisco, Chicago, Austin, or New York City, United States

Customer Engagement and Delivery Engineer

Own customer engagements end to end from qualified opportunity through technical validation, go live, and ongoing delivery across all customer segments. Build customer specific demos and proofs of concept using Liquid models including LEAP for fine tuning, domain adaptation, and evaluation to drive technical wins. Lead technical discovery by mapping current state customer architectures to Liquid solutions, driving competitive positioning against open source and incumbent models, and quantifying ROI for both cost optimization and new experience use cases. Co own the product field feedback loop by documenting friction patterns, evaluation failures, and capability gaps from engagements and partnering with product and research teams to influence the roadmap. Turn engagement learnings into reusable assets such as reference architectures, solution primitives, demo building blocks, engagement playbooks, and vertical specific solution patterns across Liquid’s priority industries.

AI Agent Solutions Delivery Engineer

Design and deploy AI solutions by working closely with customers to translate their challenges into functional agents, integrating APIs and data sources to automate real business processes. Prototype quickly, build the first version, get it into production, and refine based on real world feedback. Collaborate with customer teams across engineering, product, and operations to ensure the agent performs, scales, and delivers measurable outcomes. Own end to end delivery from discovery call to deployment, leading the technical build, testing, and iteration to ensure the experience feels natural, human, and on brand. Drive adoption and expansion by sharing results, training teams, and embedding within the customer organization to uncover new opportunities for automation and scale. Act as the face of Bland by being the customer’s champion, traveling on site, developing real relationships with customers and stakeholders, hosting training sessions and dinners, and providing unreasonable hospitality.

Technical POC and Discovery Engineer

Run technical discovery, design solutions, and lead POCs alongside Account Executives to close deals, then own onboarding to get customers to first value fast. Build and implement workflows within V7 Go; combining prompt engineering, data pipelines, and integrations to solve real customer problems across document processing and more. Act as the primary technical contact for accounts, handling complex challenges and spotting expansion opportunities as customers scale. Juggle up to 10 concurrent projects while feeding customer insights back to product and engineering.

Who We Are

AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit .

You will

• Train, deploy and monitor 2D/3D object detection models (Camera, LiDAR, Radar)
• Build and maintain data collection, labeling and evaluation (metrics) pipeline
• Maintain proprietary multi-modal dataset for training and evaluation
• Architect a deterministic secondary perception system
• Mentor junior engineers about best practices

You have

• Bachelor’s or Master’s degree in Computer Science, Robotics, Deep Learning, or a related field
• 3+ years of focused experience in perception (sensing, preprocessing, detection, tracking)
• Python, C++ and ROS2 proficiency
• The ability to work autonomously

We Prefer

• PhD in Computer Science, Robotics, or a related discipline
• Experience developing CUDA kernels