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Lead Data Engineer Senior Level - SFIA5 Salary:350-400 Inside IR 35 Location: Coventry/Hybrid About Scrumconnect: Scrumconnect is a leading force in technology consultancy, proudly contributing to over 20% of the UK's most significant citizen-facing public services. Our award-winning team has made a substantial impact, delivering more than 64 services in the past two years alone. This work has not only reached over 50 million citizens but also achieved considerable savings for the taxpayer, amounting to over £25 million. At Scrumconnect, we foster a community of talented consultants who thrive on collaboration, sharing knowledge, and continuous learning to address and solve complex challenges. Our mission is to combine advanced software engineering, human-focused design, and data-driven insights to deliver unparalleled service to our clients. About the role: We are seeking a highly skilled and experienced Lead Data Engineer to lead a critical data warehouse migration project from an on-premises environment to a cloud-native Databricks Data Lake on Azure. This role will be instrumental in designing, developing and implementing robust data solutions that will power critical decision-making processes within the public sector. This role requires a proactive individual who thrives in an agile environment and can drive the product process from research to execution. Key Responsibilities Technical Leadership: Provide technical leadership and guidance to a team of data engineers and analysts. Define and enforce data engineering best practices, standards, and methodologies. Oversee the design, development, and implementation of data pipelines, ETL processes, and data models. Data Warehouse Migration: Lead the migration of the existing data warehouse to a cloud-native Databricks Data Lake on Azure. Assess the current data warehouse infrastructure and identify migration strategies. Design and implement data migration plans, including data extraction, transformation, and loading (ETL) processes. Optimize data pipelines for performance and scalability. Data Lake Design and Implementation: Design and implement a robust data lake architecture on Azure Databricks. Define data ingestion, storage, and processing strategies. Ensure data quality, security, and privacy standards are met. Data Engineering and Development: Develop and maintain data pipelines using Databricks, Azure Data Factory, and other relevant tools. Write efficient and scalable data processing code in Python, or SQL (PySpark and SparkSQL). Collaborate with data analysts and business stakeholders to understand data requirements and translate them into technical solutions. Data Governance and Security: Implement data governance policies and procedures to ensure data quality and integrity. Enforce data security best practices, including access controls, encryption, and data masking. Monitor data pipelines and systems for performance and security issues. Power BI Integration: Integrate Databricks with Power BI to enable advanced analytics and reporting. Develop custom visualizations and dashboards to provide actionable insights. Stakeholder Management: Communicate effectively with technical and non-technical stakeholders. Present complex technical concepts in a clear and concise manner. Manage project timelines and deliverables. Skills needed for this role: Skills needed for an SFIA Level 5 Lead Data Engineer in the UK public sector typically include: Technical Skills: Expert-level: Data development process, Data integration design, Data modelling Practitioner-level: Data analysis and synthesis, Data innovation, Metadata management, Problem resolution (data), Programming and build (data engineering), Technical understanding Communicating between the technical and non-technical: Practitioner level Soft Skills: Leadership and Collaboration Team Collaboration: Ability to work effectively with multidisciplinary teams, including developers, designers, delivery managers, and stakeholders. Stakeholder Management: Strong skills in communicating technical concepts to non-technical audiences and influencing decisions. Mentorship: Capability to guide and support less experienced team members, fostering knowledge sharing and skill development. Agile and Delivery Focus Agile Working: Experience working in agile teams, contributing to ceremonies, and integrating technical goals into iterative delivery cycles. Delivery Management: Ability to prioritise tasks, manage technical risks, and ensure timely delivery of high-quality solutions. Analytical and Problem-Solving Skills Requirements Analysis: Proficiency in translating business and user needs into technical requirements. Problem Solving: Skilled in diagnosing complex technical issues and implementing effective solutions. Data-Driven Decisions: Ability to use data, analytics, and performance insights to guide architectural decisions. Knowledge of Public Sector Standards Government Digital Service (GDS): Familiarity with GDS service standards and the Technology Code of Practice. These skills reflect the need for both technical depth and the ability to navigate the unique demands of the UK public sector environment. Desired Qualifications Certifications in Azure, Databricks, or related technologies. Experience with public sector data initiatives and compliance requirements. Knowledge of machine learning and artificial intelligence concepts. What our offer includes 28 days holiday inc. bank holidays 1 day Birthday leave after 1 year service 2 additional days after 2 years service Pension: 4% employee, 3% employer BUPA Health Cover AIG Life Cover Rewards Gateway On job training Where you'll work Your working time at Scrumconnect will be split between multiple locations, including from our HQ and hub locations, client site or home. Travel requirements vary in frequency and take into account requirements of your work, our clients and the team. We welcome candidates from all identities, attributes and backgrounds to thrive with us. The diversity of our people should be reflected in the impact we deliver. Join us at Scrumconnect, where your highly demonstrable skills and expertise will drive the future of user-centred design in public services.

Empowering Seamless Connectivity for Satellite Communications On-the-Move We're looking for an experienced Senior Software Engineer to take a key role within the software engineering team owning and developing our continuous integration, continuous deployment and automated test systems. As part of a Central London-based company, the successful candidate will apply their technical skills, leadership and experience to work with the team to rapidly design, develop, and deploy CI, CD and automated tests systems. The candidate will need to be able to work through the full development lifecycle, from de-risking, prototyping, development, integration, and testing. Location: London Technical responsibilities Provide technical leadership in designing and implementing various DevOps systems as part of the software team Monitor and apply best practice software engineering methodologies and tools within the software engineering team Identify and implement continuous improvements associated with the software development lifecycle. Author and maintain processes as required Independently manage and act as Technical Lead on smaller projects Organisational responsibilities Design and implement CI, CD and automated test systems Review code and design Analyse and enhance efficiency, stability and scalability of DevOps systems Support software QA activities Assess third party and open-source software Essential qualifications and skills Postgraduate engineering or undergraduate Engineering degree in related field (Computer Science, Electrical Engineering, Robotics, Mechatronics, etc) Ability to drive a culture of quality and personal accountability through development and delivery teams Strong people and management skills to interact with staff, colleagues, cross-functional teams and third parties Experience working on complex DevOps projects (4+ years) Experience designing and implementing automated test systems operating on hardware Experience designing and implementing CI/CD systems Python Experience interfacing with test equipment Unit testing frameworks Git JIRA Test Driven Development Experience developing product for the commercial aerospace sector Experience working with electronically steered phased array antennas

About Caxton: Caxton Associates, founded in 1983, is a global trading and investment firm with offices in London, New York, Monaco , Singapore and Dubai. Caxton Associates' primary business is to manage client and proprietary capital through global macro hedge fund strategies. Assets are managed via a broad mandate to trade in a variety of global markets and instruments. About the Role: Caxton seeks a Quantitative Developer to join the firm's Quantitative Development & Data team (QDD). QDD is responsible for architecture and development of libraries, web services, dashboards, and databases that facilitate Portfolio Managers' alpha generation, strategy deployment, and risk management. The team has presence in both London and New York. They work closely with the Quantitative Analytics Group as well as Trading Staff. Responsibilities: Engineer large timeseries and data solutions and ETLs (using SQL, no-SQL, C#, and Python) for market data, quant analytics and alpha generation Build and maintain quant libraries in Python. Architect and build scalable web services for applications and front office users Promote best coding practices within the firm Build front end tools for market monitoring, trade screening and risk management. Front end tools can be either web dashboards or Excel tools backed by robust libraries or web services. 7+ years of relevant experience Bachelor's degree in a quantitative degree (Computer Science, Maths, engineering) Excellent quantitative reasoning and software design. Strong Python skills. Demonstrated experience with high-efficiency programming and multi-threading. Clear grasp of SQL and relational database fundamentals. Ability to multitask and produce high quality code. Strong verbal and written communication skills. Operates with the highest degree of ethics and integrity. Nice to have: Knowledge of financial instruments & data: FX, Futures, Interest Rates derivatives, Options Proficiency in another programming language such as C#, Java or C++ Web development skills Experience with AWS

Are you passionate about revolutionising engineering with AI? Here at Monolith AI we're on a mission to empower engineers to use AI to solve even their most intractable physics problems. We've doubled in size over the last four years, and we have ambitious plans moving forward. It's an exciting time, and to continue our growth, we are recruiting a Senior Software Engineer focusing on Python for our Software Team. Our Tech Stack: AWS, Athena SQL, Athena Spark, ECS, Azure, Azure Synapse SQL & Spark, Python, Flask, Fast API, Redis, Postgres, React, Plotly, Docker. We will potentially add GCP and on-premise in the future. What you can expect as a Senior Software Engineer at Monolith AI: As a Senior Software Engineer at Monolith AI, you'll contribute to developing our self-serve MLOps platform that empowers domain experts to harness AI without deep technical expertise. Using your strong Python backend skills, you'll create intuitive tools that enable non-technical users to build robust MLOps pipelines, focusing on platform maturation, data scale, quality, and automation. Working alongside experienced senior engineers, you'll bring a data engineering mindset to the team, building sophisticated systems that parallel orchestration tools like Airflow or Temporal. Rather than creating individual pipelines, you'll develop the frameworks and tools that allow users to create their own pipelines efficiently, while advocating for data engineering best practices across the team. As a key member of our engineering team, you'll shape the future of our platform's data capabilities during a crucial growth phase. Success in this role means creating robust, user-friendly systems that democratize data engineering, allowing our clients to build and maintain sophisticated data pipelines without requiring deep technical expertise. What would set you up for success coming into this role: You have a minimum of seven years experience working in Software Engineering, with at least three of these in Python. You've got two years' experience working with Spark, preferably PySpark. You've had the opportunity to work on Cloud Infrastructure, whether it be AWS, Azure or GCP. You've got experience with orchestration frameworks such as Temporal, Airflow or Dagster. You've had the opportunity to and enjoyed being part of a fast-paced and growing Software Engineering company. You're not fazed by the prospect of working autonomously. It would be a real bonus, but not a requirement if: You've worked in a start-up environment. You've got DBT experience. You've familiarity with MLOps principles and practices and their application in a production setting. Interview Process: You'll have a 20-minute conversation with one of our internal recruiters to get you excited about the opportunity. You'll then have the opportunity to discuss a personal project with the team. If you don't feel like there's anything suitable, we're more than happy to send a take-home assignment. You'll then have a 60-minute technical interview. The first half will be a short live-coding exercise. The second will focus more on technical questions. Lastly, you'll have a 45-minute chat with a couple of our team to understand more about the teams you've worked in previously and of course there'll be plenty of time to ask questions. Why Monolith? Our culture is passionate, engaging and collaborative. We are genuine, we bring our true selves to work and celebrate those little quirks that make us different. We have a culture of learning, we encourage new ideas, out of the box thinkers and risk takers. We're all human and sometimes we make mistakes, but we brush ourselves off and try again. Our culture encourages freedom, flexibility and creativity. At Monolith our values are core to how we do business. They're not just words on a wall, we live them every day. Our values are embedded in our internal processes so that we're always reminded of what's important to us and we continue to grow as individuals and as a company. Our values are: Bring yourself to work Always be curious and open Think like an engineer Work smart, not hard Be in this together Our benefits & perks for UK employees: 30 days paid annual leave + bank holidays Pension with NEST Vitality health insurance Wellness allowance through Heka A day off to volunteer per year Regular socials A few things to note: Monolith is proud to be an equal opportunity employer and we value diversity and inclusion. We welcome people of different nationalities, backgrounds, experiences, abilities and perspectives. We don't have an end date to apply for this role, but we will prioritise early applicants, so if you're interested then please apply soon. Only applicants who have the right to work in the UK will be considered. We are not open to working with external recruitment agencies at this time. If you don't quite match everything above but you feel you can succeed in this role then we encourage your application and look forward to hearing from you.

Time left to apply: End Date: November 29, 2024 (12 days left to apply) LOCATION(S): London or Leeds HOURS: Full-time WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week currently, or 40% of our time, at our London or Leeds Office. About this opportunity We're looking to recruit two Data Scientists to sit within a newly formed AI Innovation team. These roles will be instrumental in helping the platform adopt state-of-the-art machine learning to protect against fraud and financial crime. This could include, but is not limited to, the use of LLMs, graph-based ML, and sequence modelling. We are seeking a candidate with a genuine passion in the field of ML with particular expertise in a specific domain (Sequence Modelling, Graph Based ML, LLMs, etc.). In the Economic Crime Prevention (ECP) Platform, our mission is to reduce harm to our communities by enhancing the Group's capability to prevent, detect, and respond to economic crime. The Platform sits within Consumer Relationships and plays a critical role in providing services across the whole Group. Here's how you'll make a difference As a Data Scientist in the AI Innovation team, you will Use your skill set to build ML models with an economic crime focus, pushing the boundary of what is currently possible via the adoption of innovative new approaches. Lead small teams in the development and maintenance of AI products that serve internal and external customers. Work with diverse datasets and efficiently process and learn from them in order to gain insights. Engage with data engineering teams within the Economic Crime Intelligence lab to help guide how we can best make use of our ECP data. Work closely with stakeholders to understand business problems and help guide where data AI solutions could prove fruitful. What you need Experience building, deploying, and maintaining advanced Machine Learning models. Well versed in the scientific Python ecosystem (NumPy, Scikit-Learn, Pandas, etc.). Strong Data Engineering underpinnings and an ability to work with big data (Tbs). Experience in at least one Deep Learning framework (PyTorch, TensorFlow, JAX, etc.). Strong leadership skills, using empathy, clarity, and challenge to support your team to be their best. Strong communication skills with an ability to adapt style for different audiences. It would be great if you also had Experience with Huggingface and/or Geometric Deep Learning libraries. Exposure to fraud and/or financial crime. Experience servicing models behind APIs. Experience with cloud platforms especially GCP. About working for us Our focus is to ensure we are inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms. We want our people to feel that they belong and can be their best, regardless of background, identity, or culture. We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer initiative. And it is why we especially welcome applications from under-represented groups. We are disability confident. So, if you would like reasonable adjustments to be made to our recruitment processes, just let us know. We also offer a wide-ranging benefits package, which includes A generous pension contribution of up to 15%. An annual performance-related bonus. Share schemes including free shares. Benefits you can adapt to your lifestyle, such as discounted shopping. 30 days' holiday, with bank holidays on top. A range of wellbeing initiatives and generous parental leave policies. Ready for a career where you can have a positive impact as you learn, grow, and thrive? Apply today and find out more. At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses, and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow, and develop. We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person. We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we're building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.

Ripjar specialises in the development of software and data products that help governments and organisations combat serious financial crime. Our technology is used to identify criminal activity such as money laundering and terrorist financing, and enables organisations to enforce sanctions at scale to help combat rogue entities and state actors. Team mission: Our engineering team builds software that makes the world a safer place. We work collectively to use technology, creativity and engineering best practice to solve problems that nobody else can. What you'll be doing: You'll join a diverse team of talented engineers building Labyrinth Screening: a sophisticated AI-powered solution at the forefront of the fight against financial crime. You'll contribute to our customers' success by designing, developing and shipping features to prevent money laundering, fraud and terrorist financing. Some of the key technology challenges facing the team this year include: Developing our scalable, multi-tenant, cloud-based SaaS-first architecture. Upgrading our DevOps tooling to ship code fast with certainty. Automating end user and system actions with our Labyrinth RPA Workflow Engine. Harnessing the power of Labyrinth Screening to work with arbitrary data at any scale within wider financial crime, cyber crime and national security solutions. Key tasks: Develop innovative software with a global impact. You'll work across the software development lifecycle to build and deliver technology in a cross-functional agile team. Collaborate with engineers, product managers, architects, UX and QA specialists as part of the wider Ripjar engineering team. Work with our Delivery team to provide deep support expertise for our growing customer base. Contribute to the continuous improvement of Ripjar's technology stack and development process. The successful candidate should have these skills: We recognise that demonstrable skills in all these technologies is not easy to find. Don't let that stop you from applying! We can work in partnership to identify your strengths and provide you with the training necessary to fill any gaps. You will ideally have worked with some of our core technologies: Node.js, React, Elasticsearch, Kafka, MongoDB, Redis. You'll be proficient in at least one programming language and be used to evaluating new technologies. Building and maintaining production software. It's great if you've worked with large scale data processing systems and complex JavaScript or Python codebases. You will be technically proficient with each stage of the software development lifecycle. Your strengths will include designing and developing high quality software, finding and fixing bugs and providing maintenance for production systems. Strong communication skills. You'll be able to explain complex concepts, write clear and concise code reviews, pull requests and documentation. Must be able to work Hybrid from either Cheltenham, Bristol or London 2 days per week. Why we think you'll love it here: Competitive salary DOE 25 days annual leave, rising to 30 days after 5 years of service. Hybrid working - 2 days in the office and 3 days at home 35 hour working week only Company Share Scheme. Private Family Healthcare. Employee Assistance Programme. Company contributions to your pension. Enhanced maternity/paternity pay. Free food and drink. The latest tech including a top of the range MacBook Pro. Ripjar's Commitment to Diversity: "Diversity is essential in the way we operate. Having people from different backgrounds, genders and experiences ensures that we make decisions with a truly global perspective. Diversity gives us strength in our technology, analysis and relationships." - Maria Cox, Head of People Operations

Job Title: Senior Full Stack Engineer Reports to: Engineering Manager Type: Full-time permanent Salary: £61,000 - 78,000 About QuantSpark QuantSpark transforms organisations through Analytics and AI, enhancing complex processes to drive operational efficiency and profitability. In a rapidly evolving market, we empower companies to gain a competitive edge with data-driven insights and AI. Our teams work cross-functionally to deliver value-driven solutions to our clients. Working in a consultancy, you will be responsible for both technical and client-facing advisory. You'll be a technical expert, offering guidance, developing tailored solutions, and collaborating with clients to address complex technical challenges. We blend creative thinking with analytical rigour, fostering innovation and delivering value to our clients. Our flexible, hybrid working environment supports a balance of remote and onsite collaboration, with a commitment to in-person interaction at least two days per week. Our Commitment to Talent At QuantSpark, our success relies on the analytical rigour, creativity, and entrepreneurial mindset of our team. We are dedicated to attracting top talent and emphasise continuous development, training, and responsibility. You will tackle real business challenges with creativity and make significant contributions to each project. The Role As a Senior Full Stack Engineer, you will be crucial in developing client-facing functionalities, including web applications and API endpoints. Your role will cover the entire project lifecycle, from requirements gathering and solution design to development, testing, and validation. While your primary focus will be on backend development using technologies like Python for API endpoints, a solid understanding of frontend technologies such as TypeScript and React is also required. Additionally, you will lead by example in making informed decisions related to design patterns, development paradigms, and application architecture, ensuring that best practices are consistently followed. Technical Requirements Python Web Development: Expertise in Flask/Django, Gunicorn, ORMs. Front-End Skills: Strong experience with JavaScript (React.js, TypeScript), Webpack, HTML, CSS. Database and Caching Technologies: Proficiency in PostgreSQL/MySQL, MongoDB, Redis. Testing Experience: Familiarity with unit testing and TDD. Code Management: Experience with Git, Bitbucket, branching strategies, and CI pipelines. Containerisation Technologies: Knowledge of Docker and Kubernetes. Soft Skills Communication: Excellent interpersonal skills for effective stakeholder collaboration. Ownership and Leadership: Ability to manage workstreams, support junior team members, and lead discussions. Client Engagement: Confidence in managing client relationships, especially with technical stakeholders. Beneficial Skills Experience with AWS services (S3, Redshift, RDS, Lambda, EC2, ECS, EKS). UI/UX Design experience. Familiarity with Python packages for data science (Pandas, Numpy, Scikit, TensorFlow). Strong analytical and problem-solving abilities. Benefits £6,000 annual training and conference budget. Pension contribution scheme (up to 12%). Top-tier private healthcare with Vitality. Share options scheme. Ability to work abroad for up to one month annually. 25 days annual leave (excluding Bank Holidays). Equal Opportunities QuantSpark is an equal opportunities employer committed to fair and equitable treatment for all potential employees, regardless of sex, gender, sexual orientation, marital status, race, nationality, ethnicity, religion, age, or disability.

Job description: XiP is building a next-generation cross-asset calculation system for Citi trading desks and enterprise users in the largest global financial markets and exchanges in New York, London, and other major financial hubs. Our team owns multiple Java Spring Boot Services that execute, partition, and track quantitative risk graphs/trades in a distributed environment. These graphs can fail due to their complexity and our system must adapt quickly to these failures to provide a seamless experience for clients. XiP Compute Services are deployed onto OpenShift and Amazon's Elastic Kubernetes Service (EKS). An important initiative in 2025 will be onboarding Google's Kubernetes Engine to further expand our coverage. Our system scales on-demand, and we can run up to tens of thousands of replicas of our services across all asset classes. The role of the Senior Technical Lead is to lead a variety of engineering activities including design decisions regarding technical direction of the platform with short, medium, and long-term changes, with a key focus on public cloud onboarding. The project requires constant review of the technologies, patterns and paradigms used to ensure the system is easy to understand, performant, scalable, testable, robust, and observable. The role is a conjunction of technical and managerial roles, with line-management duties, while giving technical direction to a growing team of developers globally. The platform is a Greenfield build using standard modern technologies such as Java, Spring Boot, Kubernetes, Kafka, MongoDB, RabbitMQ, Solace, Apache Ignite. The platform runs in a hybrid mode both on-premise and in AWS utilizing technologies such as EKS, S3, FSX. The main purpose of this role is to lead efforts of continued platform onboarding to AWS as well as the new initiative to deploy into GCP. The project is in a scale-out phase, with a goal of expanding the user base and workloads towards running billions of financial calculations per day across hundreds of thousands of cores. The aim of the project is to run all finance calculations for Citi's Front Office Markets business globally. Responsibilities: Steering platform onboarding into AWS and Google Cloud, while collaborating with Citi HPC team and AWS/Google partners. Challenging proposed and provided solutions in terms of performance, robustness and cost effectiveness. Making decisions regarding technical direction of platform, including evaluating new technologies and executing proof-of-concept implementations, with good understanding of various limitations. Identifying and defining necessary system enhancements to improve current processes and architecture. Hands-on coding of fixes, features, and improvements. Investigating reported or observed platform issues. Reviewing pull-requests from other team members and giving robust critique/feedback. Identifying and proposing teamwork enhancements. Reviewing requests for new features, balancing user requirements with defending the platform from complexity and low-value features. Collaborating with key partners across the firm for extending the platform, such as: the infrastructure provider group; quant group; upstream and downstream systems. Mentoring/coaching junior developers on coding/architecture approaches and best practices. Skills and Experience: Expert knowledge of distributed systems including event-driven architecture; at-least-once messaging; CAP Theorem; horizontal and vertical scaling strategies; massively distributed architectures. Expert knowledge of Java, JVM, memory management, garbage collection. Thorough understanding of multithreaded environment challenges. Expert knowledge of Spring, SpringBoot framework and associated technologies. Expert knowledge of test frameworks, such as Junit, Mockito, writing easily-testable code. Expertise in Java debugging, including remote debugging of services deployed to K8s. Expert knowledge of Kubernetes and associated technologies such as KEDA, Karpenter, ClusterAutoscaler, CoreDNS. Expert knowledge of SQL and/or NoSQL database technologies. Expert knowledge of various messaging protocols and technologies such as REST, HTTP/S, AMQP, WebSocket. Expert knowledge of Confluent Kafka. Experience and good understanding of core technologies provided by GCP/AWS, such as S3, FSX, EKS, SQS, SNS, Kinesis, AmazonMQ, DynamoDB, GKE, CloudStorage, PubSub, Filestore. Knowledge of modern observability technologies such as ELK, Splunk, Prometheus, Grafana, Micrometer. "What-if" thinking, while designing or reviewing solutions, to foresee or catch potential problems as early in the development process, as only possible. Nice to have: Good knowledge of Python, Groovy, Bash. C++ basic knowledge/experience. Good knowledge of PubSub model. Good knowledge of Finance, especially large-scale risk calculation. Good knowledge of representing complex calculations as graphs of instructions which can be horizontally distributed. Job Family Group: Technology Job Family: Applications Development Time Type: Full time Citi is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Citigroup Inc. and its subsidiaries ("Citi") invite all qualified interested applicants to apply for career opportunities. 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 Accessibility at Citi . View the " EEO is the Law " poster. View the EEO is the Law Supplement . View the EEO Policy Statement . View the Pay Transparency Posting .

Senior Data Science Engineer Apply remote type: Flexible Work Arrangement Location: London, London, United Kingdom Time type: Full time Posted on: Posted Yesterday Job requisition id: R8950 At Medtronic you can begin a life-long career of exploration and innovation, while helping champion healthcare access and equity for all. You'll lead with purpose, breaking down barriers to innovation in a more connected, compassionate world. A Day in the Life Five billion people have no access to safe surgery and the Medtronic Digital Surgery Business is on a mission to change surgical care for the better through a portfolio of digital solutions. If you are looking for a real purpose behind what you do, this role is a genuine opportunity to make a difference. The Medtronic Digital Surgery Business has created a digital data-driven ecosystem that uses the latest cutting-edge technologies like artificial intelligence, augmented reality and computer vision to modernize surgical training, orchestrate surgical teams in the operating room (OR) and deliver safer surgery around the world. You will be working in a start-up environment within a large corporate organization where you will be trusted to make important decisions, and your impact seen worldwide. Responsibilities may include the following and other duties may be assigned: Analyze surgical datasets using statistical methods to derive insights Work extensively with databases to ensure data integrity and accessibility Create and maintain Tableau dashboards for efficient data visualization Investigate new methodologies for effective data reporting Proactively identify opportunities to improve processes and streamline workflows Required Knowledge and Experience: MSc or PhD in a science, technology, engineering and mathematics (STEM) subject Excellent Structured Query Language (SQL) skills and experience in database tools such as data build tool (dbt) Extensive experience in building dashboards preferably using Tableau Broad statistical knowledge A demonstrated ability for developing innovative experimentation and analysis methods to infer insights from complex sets of data Practical object-oriented programming experience in Python with knowledge of relevant packages including Pandas, NumPy, SciPy, Matplotlib, Scikit-learn Experience in writing clean and maintainable code for collaborative working and using code versioning tools Excellent communicator - comfortable talking with programmers, marketers, surgeons, business leaders, and everyone in-between Experienced in using tools for handling big data and working with clinical data sets is a plus. Proficient in data compliance is also preferred. Physical Job Requirements The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position. Benefits & Compensation Medtronic offers a competitive Salary and flexible Benefits Package A commitment to our employees lives at the core of our values. We recognize their contributions. They share in the success they help to create. We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage. This position is eligible for a short-term incentive called the Medtronic Incentive Plan (MIP). About Medtronic We lead global healthcare technology and boldly attack the most challenging health problems facing humanity by searching out and finding solutions. Our Mission - to alleviate pain, restore health, and extend life - unites a global team of 90,000+ passionate people. We are engineers at heart- putting ambitious ideas to work to generate real solutions for real people. From the R&D lab, to the factory floor, to the conference room, every one of us experiments, creates, builds, improves and solves. We have the talent, diverse perspectives, and guts to engineer the extraordinary. Learn more about our business, mission, and our commitment to diversity here.

We are looking for a brilliant senior developer who wants an exciting and challenging role with Kortical, that is on a mission to help every company become an AI company via our ML SaaS platform. Primary skills we consider: Python Secondary skills we consider: Kubernetes, Microservices, Docker, GCP, Maths, Machine Learning Employment type: Permanent Remote working: Flexible remote (up to 4 days p/w) We are looking for a brilliant senior developer who wants an exciting and challenging role with Kortical, that is on a mission to help every company become an AI company via our ML SaaS platform. We are a python shop so proficiency is ideal but languages are easy to learn if you know how to code, so don't worry if you're not a pure python dev, if you can code expertly in one language then you can get up to speed with python. We also use kubernetes so if you have experience in that then great, again it can be learned quickly. Experience of testing, committing and deploying good code, is a must. Our office is based in London, Waterloo but we have worked remotely throughout lockdown. Going forward we expect to have some set office days where the team gets together but also a set remote working component. Currently most of the team are 4 days at home and 1 in the office. Responsibilities: A lean/experimental approach to iterative feature development, that will result in high quality features and code Preferred good understanding of Kubernetes eco-system or knowledge of Kubernetes Team player that is happy to help out others You will be part of a small but growing team of developers, developing features that are discussed in our weekly task review or for bigger projects mapped out in a design session. We try to balance the rapid user testing / move fast and break things approach to user facing feature creation to make something users love, with a more rigorous approach to architecture and infrastructure, that allows us to deploy with confidence into the enterprise. We've already built an impressive set of tooling to automate our development processes and operations and continue to improve and optimise our ways of working. About Kortical Just as every company is now a tech company, they will also have to be an AI company to survive. Currently 85% of ML projects fail and we are on a mission to turn that statistic upside down! Google, AWS, Azure are all essentially a box of tools, and you need a strong multi-skilled team to assemble a fully scalable ML solution. Then there are those platforms that are like ready made family saloon cars, not customisable and not everyone's first choice of car. At Kortical we believe in having the best of both worlds, a ready made sports car that is fully transparent and customisable. Our approach is to make a platform that is editable in code and accelerates the creation of ML solutions from years to weeks, all while delivering Superhuman AI results. And big names like the NHS, BT and Deloitte have seen awesome results from using Kortical. We are a fast growing brand and have been listed as one of the top 20 hottest AI start-ups in the UK by PWC (Oct 21) and have won innovation awards from the FCA and Awards.ai. While we are profitable, we are looking to raise another round of funding Q1 2022 to build the team and accelerate our growth faster. Requirements: It's not purely about technical proficiency and we place a big emphasis on team. Pandemic aside, we often go out for a drink together (soft or hard, it is about the conversation), we do team lunches on the company every two weeks and also do quarterly "Mandatory Fun Days" where we vote on an activity and celebrate the successes afterwards. On the softer skills side, the person we're looking for should: Take pride in producing great work and seeing it through to completion Be approachable and enjoy helping others Enjoy being part of a team doing something cool Have a passion for complex problem solving Believe that the best idea should win and be objective about collaborative design Company Benefits Medical Insurance Pension Flexi-working Share Options - we want everyone to share in the success of this start-up Interview Process Call, test, interview with founders & offer! Fill out the form below with: Why you are interested in the role A short paragraph summary of what experience you have No need to send a CV just your LinkedIn profile We will be in touch if your skills match the role Get In Touch We will be mindful of your inbox. Please tick this box so we can let you know when we release any new products or discounts, etc. By submitting this form, I can confirm I have read and accepted Kortical's privacy policy .

About the role At Tesco, we believe in the power of spending more time together, face to face, than apart. During your working week, you can expect to spend 60% of your time in one of our office locations or local sites and the rest remotely. We also recognize that life looks a little different for each of us. Some people are at the start of their careers, some want the freedom to do the things they love. Others are going through life-changing moments like becoming a carer, nearing retirement, adapting to parenthood, or something else. That's why at Tesco, we always welcome a conversation about flexible working. Talk to us throughout your application about how we can support you. At Tesco Technology, we have an outstanding opportunity for an experienced Senior Data Scientist with strong stakeholder management and influencing skills. Join our team and take the lead in redesigning our customers' engagement on our groceries website. By applying sophisticated technologies like semantic search and transformer models, you will play a pivotal role in improving the search functionality for millions of customers across multiple countries. This position allows someone to quickly make a meaningful impact and contribute to the seamless operation of our supply chain, transport, and delivery operations. About the Team Join our world-class team of data professionals who are passionate about solving sophisticated business problems and deploying data products at scale. Our team works across various areas of our business, personalizing our customers' experience across all touchpoints, both online and in-store. We are committed to personal and career development, providing on-desk training, support, and dedicating 10% of your working week to learning and professional growth. Additionally, there are opportunities to attend and speak at external and internal events, encouraging individual growth as experts in the field. Our team values work-life balance and cultivates a relaxed yet engaging culture. This role can be based out of either our London (Farringdon) office or Welwyn Garden City office, offering the flexibility of hybrid working. Spend three days a week in the office and the remainder working from home. You will be responsible for Using your analytical mindset to find solutions to complex problems. Understanding difficult business problems and prototyping solutions with minimal support. Applying, modifying, and designing algorithms and mathematical models to solve business problems on top of big data architectures. Validating, documenting, and presenting the modeling process and performances, as well as communicating sophisticated solutions in a clear, understandable way to non-experts. Promoting data science across Tesco and promoting Tesco within the external Data Science community. You will need We are looking for ambitious individuals with a mix of statistics, programming, and machine learning skills. The role requires an extensive background in machine learning and data mining. A track record in modifying and crafting sophisticated algorithms and applying them to large data sets is crucial. An ideal candidate will have a scientific mentality with the ability to ask the right questions, as well as answer them. A strong numerical higher degree in a mathematical, scientific, engineering, or computer science discipline is preferable, along with a solid understanding of mathematics and statistical principles. Experience in one or more of the following fields is required: predictive modeling, operational research, deep learning, and time series modeling. Strong programming experience (Python is preferred) is also necessary. A senior candidate will need to have commercial experience in working with business stakeholders, a record of technical leadership, as well as exposure to supervision, mentoring, and upskilling of more junior professionals. What's in it for you We're all about the little helps. That's why we make sure our Tesco colleague benefits package takes care of you - both in and out of work. Annual bonus scheme of up to 20% of base salary Holiday starting at 25 days plus a personal day (plus Bank holidays) Private medical insurance 26 weeks maternity and adoption leave (after 1 year's service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay; we also offer 4 weeks fully paid paternity leave Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, and free access to a range of experts to support your mental wellbeing About us Our vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our core purpose is 'Serving our customers, communities, and planet a little better every day'. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of, and for the planet. Diversity, equity, and inclusion (DE&I) at Tesco means that whoever you are and whatever your background, we always want you to feel represented and that you can be yourself at work. In short, we're a place where Everyone's Welcome . We're proud to have been accredited as a Disability Confident Leader and we're committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here. We're a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate, and innovate.

We are looking for a Senior Data Engineer to join our Knowledge Representation Team! Reporting to the team's Engineering Manager, you will evolve BenchSci's Knowledge Graph, integrate public life science data into our biological ontology, iterate on data models in various data stores including graph DB, improve internal tooling to allow data self-service, and operationalize production-grade data pipelines. As part of this role, you'll collaborate with a world-class team, experience growth and mentorship, and apply data engineering solutions to shape the future of scientific discovery. You Will: Scale data pipelines to allow our data to go from research to platform quickly and reliably Manage sources that contain both semi-structured and unstructured biological data that contribute to the evolution of BenchSci's Knowledge Graph Integrate public life science data into the biological ontology in our Knowledge Graph Collaborate with ML, Data engineers, and Science to solve complex data mining and extraction challenges, enabling us to capture and model scientific experiments and results Seek out leadership opportunities and act as a Technical DRI (directly responsible individual) on multiple projects/epics Design testable, scalable solutions to complex problems using the latest frameworks and tools Use your experience and knowledge to help define and apply best practices for a broad platform of technologies in a cloud-based environment Write and review engineering design proposals in accordance with BenchSci's engineer best practices Contribute to your team's processes including sprint planning, task estimation, and code review Work both independently and in pair-programming settings within an agile team of talented engineers to solve interesting data problems Be given an unmatched opportunity for growth, and to learn from a team of outstanding engineers Liaise closely with stakeholders from other functions including product and science Feel challenged and engaged as you're exposed to new opportunities to require you to push yourself You Have: Degree in Software Engineering, Computer Science, or a similar area 5+ years of experience working as a professional data engineer in industry Expertise with Python coding and type system Expertise in writing SQL (GQL, PostgreSQL, and BigQuery are a plus) Experience with building both batch and streaming ETL pipelines using data processing engines Experience with cloud development (we use GCP and Terraform) including reference architectures and developing specialized stacks on cloud services A strong background in data modeling, data structures, and large-scale data manipulation/transformations A can-do proactive and assertive attitude - your manager believes in freedom and responsibility and helping you own what you do; you will excel best if this environment suits you You have experience working in cross-functional teams with product managers, scientists, project managers, and engineers from other disciplines (e.g., machine learning) Outstanding verbal and written communication skills Can clearly explain complex technical concepts/systems to engineering peers and non-engineering stakeholders across teams Experience executing as part of high-performance engineering teams using industry-standard software delivery practices Proficient with agile processes (sprint planning, estimation, retros, standups, etc.) Ideally, you have worked in the scientific/biological domain with scientists on your team A growth mindset continuously seeking to stay up-to-date with cutting-edge advances in tech and software/data engineering Benefits and Perks: An engaging remote-first culture A great compensation package that includes BenchSci equity options A robust vacation policy plus an additional vacation day every year Company closures for 14 more days throughout the year Flex time for sick days, personal days, and religious holidays Comprehensive health and dental benefits. Annual learning & development budget A one-time home office set-up budget to use upon joining BenchSci An annual lifestyle spending account allowance Generous parental leave benefits with a top-up plan or paid time off options The ability to save for your retirement coupled with a company match! About BenchSci: BenchSci's mission is to exponentially increase the speed and quality of life-saving research and development. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform. Backed by Generation Investment Management, TCV, Inovia, F-Prime, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work, and top-ranked company on Glassdoor. Our Culture: BenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they're the organization's beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning. We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement. You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible. Learn more about our culture . Diversity, Equity and Inclusion: We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. Learn more about our DEI initiatives . Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to .

DESCRIPTION Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting-edge Generative AI algorithms to solve real-world problems with significant impact? The AWS Industries Team helps AWS customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in the most strategic industry verticals. This is a team of data scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select, train, and fine-tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and build applications to launch these solutions at scale. The AWS Industries team provides guidance and implements best practices for applying generative AI responsibly and cost-efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. In this Data Scientist role, you will be capable of using GenAI and other techniques to design, evangelize, implement, and scale cutting-edge solutions for never-before-solved problems. Key job responsibilities As a Senior Data Scientist, you will: Collaborate with AI/ML scientists, engineers, and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms and build ML systems to address real-world challenges. Interact with customers directly to understand the business problem, aid them in the implementation of generative AI solutions, deliver briefing and deep dive sessions to customers, and guide customers on adoption patterns and paths to production. Create and deliver best practice recommendations, tutorials, blog posts, publications, sample code, and presentations adapted to technical, business, and executive stakeholders. Provide customer and market feedback to Product and Engineering teams to help define product direction. BASIC QUALIFICATIONS Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Master's degree. Experience working as a Data Scientist. Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent). Experience in machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance. Experience applying theoretical models in an applied environment. PREFERRED QUALIFICATIONS PhD in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance. Hands-on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer). Prior experience in training and fine-tuning of Large Language Models (LLMs) and knowledge of AWS platform and tools or equivalent cloud experience. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build.

Senior Machine Learning Scientist - Fintech - Remote Calling highly motivated, bright candidates who are looking for a career at an exciting award-winning FinTech firm! Company: Wealth Dynamix Role: Senior Machine Learning Scientist Location: London Start Date: Nov / Dec 2025 Would you like to join one of the fastest growing FinTech firms in Europe? We are looking for an analytical self-starter with experience in software delivery. If you are passionate about Data Science & digital transformation and keen to learn about delivering the market-leading Client Lifecycle Management solution to the Wealth Management industry, apply now! Who are we? Wealth Dynamix helps to relieve the burden of client management issues for wealth management and private banking firms with innovative technology. We provide Relationship Managers with a multi-award-winning digital Client Lifecycle Management (CLM) platform, offering 360-degree access to their client. As a global leader in end-to-end CLM, Wealth Dynamix has offices and clients on three continents with headquarters in the UK. What is the role? As the Lead/Senior Data / Machine Learning Scientist at Wealth Dynamix, you will head the data science function, spearheading the integration of Artificial Intelligence (AI) and data-driven strategies across our CLM products, CLMi and WDX1. You will lead a team of data scientists and collaborate with cross-functional teams to design, develop, and implement AI solutions that address client needs and align with the company's strategic goals. This role requires a strong technical background in AI, machine learning, and data science, combined with leadership experience in driving data initiatives across SaaS products. Key Responsibilities: Leadership & Strategy Team Leadership: Lead and mentor a team of data scientists, fostering a collaborative and innovative environment. AI Strategy Development: Define and execute the AI and data science strategy for Wealth Dynamix, aligning with the overall product vision and company goals. Stakeholder Collaboration: Partner with product managers, engineers, and client-facing teams to prioritize efforts and ensure AI solutions are integrated smoothly into the CLMi and WDX1 platforms and deliver tangible business value. Mentorship & Development: Coach and mentor junior data scientists, providing technical guidance and support to enhance team performance and skills. AI & Data Science Integration Product Innovation: Lead the development and deployment of AI-driven features, including predictive analytics, ML classifiers, natural language processing (NLP), and large language models (LLMs) to enhance our product offerings for clients. Advanced Analytics: Identify and benchmark local models vs. general purpose models for individual use cases. Oversee the creation and implementation of local domain-specific models and ML classifiers to provide insights and automation across the client lifecycle. Automation & Efficiency: Support the development of AI-powered solutions such as Agent Frameworks to automate processes, optimize system performance, and improve operational efficiency across Wealth Dynamix products. Data Collection, Analysis & Insights Data Strategy: Define the data collection, transformation, and storage strategies, ensuring the availability of high-quality data for machine learning models and analytics. Model Development: Lead the design and implementation of machine learning models, from concept through to production deployment, ensuring they meet business and technical requirements. Data Set Creation: Identify data set requirements for specific models and use cases, working to create appropriate datasets, including the creation of synthetic datasets. Collaboration & Product Development Cross-Functional Collaboration: Work closely with development teams to ensure the seamless integration of AI solutions into the core products. Feedback Loop Implementation: Create feedback loops within AI models for continuous improvement, allowing for dynamic adjustment based on new data, performance metrics, and client interactions. Documentation & Reporting: Ensure comprehensive documentation of AI models, processes, and data pipelines, providing transparency and traceability for internal teams and external clients. Research & Innovation Emerging Technologies: Stay current with emerging AI, machine learning, and data science technologies and frameworks, identifying opportunities to apply innovative approaches or solutions to accelerate Wealth Dynamix's proposition. Prototyping & Experimentation: Lead the development of prototypes for new AI-driven features, iterating rapidly to test concepts and bring new ideas to market. Best Practices Development: Establish and promote best practices for AI model development, testing, and deployment, ensuring robust and scalable implementations. Client & Stakeholder Engagement Client Solutions: Engage with key clients to understand their AI and data-related needs, providing tailored solutions that enhance the overall client experience. Data-Driven Consulting: Serve as a trusted advisor to clients and internal stakeholders, offering expert insights into how AI and data science can solve complex problems and create business value. Client Reporting: Develop quantitative client-facing reports to showcase the impact of AI models and data-driven insights on their operations. Why should you apply? This is a fantastic opportunity to work in a growing FinTech environment with excellent career progression available. With a global client base, the role offers an opportunity to experience a wide variety of digital transformation projects - each with their own unique requirements and opportunities. We take career progression seriously, with investment into the WDX Academy for new and existing employee learning and development. You will learn a lot with exposure to multiple complex client needs. Who is best suited to this role? Leadership Experience: Proven track record of leading and managing a data science or AI team, with at least 2+ years in a leadership or senior role. Data Science Expertise: Strong technical background in data science, including expertise in machine learning, statistical analysis, and AI technologies (e.g., NLP, LLMs, recommendation systems). Data Set Experience: Experience with both structured and unstructured data, and with knowledge in one or more architectural patterns such as knowledge base models and RAG. Machine Learning & AI Frameworks: Proficiency in Python, R, TensorFlow, PyTorch, scikit-learn, and other AI/ML tools for building and deploying models. Model & Architecture Selection: Experience in selecting and benchmarking appropriate model architectures, parameters and training strategies to optimize model performance. Cloud & SaaS: Experience working with SaaS products and cloud services, particularly in deploying AI models in cloud environments like Azure. Data Engineering Collaboration: Hands-on experience collaborating with data engineers to build and maintain scalable data pipelines and efficient ETL processes. Database Proficiency: Advanced knowledge of SQL and NoSQL databases, and experience working with large datasets. Communication & Influence: Strong interpersonal and communication skills, with the ability to influence cross-functional teams and senior leadership on AI strategy and execution. Beneficial Skills: Financial Services/Wealth Management Experience: Previous experience in fintech, wealth management, or financial services is a plus, particularly with an understanding of client data and business needs. CRM Data Models: Familiarity with CRM systems (e.g., Dynamics 365) and experience building models around CRM data. Microsoft Azure Services: Experience with Azure-based services, including Azure ML, Cosmos DB, Azure Data Lake, and others. AI Governance: Knowledge of AI governance frameworks, including model transparency, explainability, bias detection, and ethical considerations. DevOps: Experience with CI/CD for AI and DevOps principles. Key Performance Indicators (KPIs): Successful development and deployment of AI models that enhance product features and customer outcomes. Effective leadership and mentorship, demonstrated by the growth and performance of the data science team. High-quality, actionable insights that drive product innovation and business decision-making. Continuous improvement of AI models through feedback loops, resulting in improved performance and accuracy. Strong collaboration with product, engineering, and client-facing teams to integrate AI into Wealth Dynamix's SaaS offerings. We believe we offer career-defining opportunities and are on a journey that will build awesome memories in a diverse and inclusive culture. If you are looking for more than just a job, get in touch.

Senior Full-Stack Engineer (Mission Engineering) About Adarga Adarga is one of the most exciting Artificial Intelligence (AI) companies in the world at the cutting-edge of the AI revolution. We are a UK-based AI leader specialising in information intelligence. Our technology addresses the integral need for defence, national security, and commercial organisations to interpret fast-proliferating, worldwide information sources at breakneck speed. In today's increasingly complex geopolitical environment this is a vital capability if they are to understand emerging threats, mitigate risk and remain competitive. Adarga's platform, powered by natural language processing and network science technology, is currently supporting mission-critical decision-making across defence and national security in the UK, as well as expanding into new sectors. What will you be doing? As a Senior Engineer in our Mission Engineering team, you will be working on a diverse portfolio of projects, supporting clients from across Defence, National Security, Public Sector and Commercial organisations to apply AI and solve complex problems. Our focus is on pushing the boundaries of where AI can enable decision advantage for our customers. This often relates to Natural Language Processing, but rarely exclusively. No day is ever the same. Your responsibilities will range across the spectrum of customer engagement and project delivery. You will be expected to operate comfortably across multiple projects and workstreams. What do you need? You should have experience of both front-end and back-end ecosystems along with leadership capabilities, including: Familiarity with back-end languages, including Golang and Python. Familiarity with back-end concepts and tooling, including unit and integration testing, message queries, scalability & asynchronous programming. Familiarity with front-end languages, including Typescript and React. Familiarity with front-end concepts and tooling, including state management, routing, accessibility, responsive design, web servers, authentication, and testing. Designing and building with microservice architecture. API design and implementation using GraphQL, gRPC or REST. Working with databases, including PostgreSQL and OpenSearch. Container orchestration tools, including Kubernetes. Operating as a lead/principal engineer. Mentoring fellow engineers. Strong interpersonal and communication skills. Working with Agile processes. Desirable experience Natural Language Processing. Designing and building micro front ends. Using visualisation libraries, e.g., D3, Reagraph. End to end testing, e.g., Cypress, Playwright. SC (Security Clearance) cleared, with BPSS as a minimum. Interview Process Getting to know you: In the first call, let our recruiter learn about you and your story to check a potential fit for Adarga. This is also a chance for you to ask first questions about the role and company. Phone Interview: In this meeting, you will meet with a Senior member of our team who will take a deeper dive into the technical aspects of the Senior Software Engineer role here at Adarga, where you can expect some high-level technical questions, competency-based questions, and another chance to ask any questions you have. Technical Interview: In this meeting, you will work with your potential team members on a technical challenge. A Peer Programming Exercise completed with two of our senior team members. Final Interview: You made it to the very last stage! Here we will look to gain a better understanding of your experience to date, a chance to walk through your experience, the role you played at the company, different projects that were worked on and the impact you had and give you an opportunity to see the wider team during an informal talk. Contact Find out more about Adarga: Diversity & Inclusion at Adarga Adarga recruits, trains, promotes & employs regardless of race, background, gender, colour, religion, disability, age, gender identity or any other protected status. In addition to this, we actively promote and encourage diversity of thought through multiple avenues. Adarga is dedicated to building and maintaining an inclusive environment where people feel valued, appreciated, and free to be themselves without prejudice.

Senior Software Engineer - Storage Distributed Downstream Location: London Business Area: Engineering and CTO Ref #: Description & Requirements Data is at the heart of Bloomberg's technologies, which produce, distribute and protect some of the most critical and valuable data in global business. The Storage Engineering teams design and maintain the systems which store, process and protect that data. This is not a traditional storage team: we expect our engineers to design and build a highly available, scalable, and durable storage platform. Our platform is a unique mix of commodity hardware, open source software-defined storage, and appliance-based storage solutions. In addition to shepherding our core storage systems, our team is modernizing our automation software for provisioning and management of both appliance-based storage and software defined storage inside of the Bloomberg ecosystem. The Storage Engineering team works closely with the industry and our engineering users to stay at the forefront of both evolving hardware technologies, open source storage platforms and software engineering practices. Storage Distributed Downstream is a newly created software engineering team within Storage Engineering with a mandate to integrate Ceph, an open source distributed storage platform, into the Bloomberg ecosystem, providing visibility and transparency into its operation while ensuring its availability and performance meets our customers' needs. We're looking for strong Software Engineers with great coding, problem solving, and communication skills. Domain knowledge in storage is a plus but absolutely not required; we'll teach you everything you need to know about storing bits'n'bytes. What's in it for you: This is a unique opportunity to help build robust, petabyte-scale systems which will power the future of Bloomberg's automated storage infrastructure. We'll trust you to design and implement telemetry to monitor the health of our clusters and customers' data, as well as implement automation for efficiently managing the lifecycle and performance of our hardware while ensuring our systems are behaving consistently. We utilize a myriad of open-source technologies to build our systems, such as S3, Ceph, Celery, RabbitMQ, Kafka, Docker, Apache Airflow and many more. We'll trust you to: Own the performance and availability of our storage products, innovating to continuously mature our product offerings. Build automation around all phases of the storage lifecycle, eliminating toil, automating responses to failures, and generally eliminating as much operational work as possible. Develop technical solutions which combine hardware and software to achieve required service levels, performance, and economics. You'll need to have: 4+ years software development experience in Python or C/C++. Proficiency in software engineering principles with an interest in infrastructure. A degree in Computer Science, Engineering or similar field of study or equivalent work experience. We'd love to see: Experience with Ceph. Experience working with scalable distributed systems including deep dives into code, networking and operating systems. Contributions to Open Source projects especially related to Storage, Automation, or Performance Monitoring. Knowledge and experience with data storage algorithms, technologies such as erasure coding, and complex production troubleshooting. A keen interest in keeping abreast of technological advances and proven success at incorporating new technology into existing systems.

About Encord At Encord, we're building the AI infrastructure of the future. One of the biggest challenges AI companies face today is data quality. The success of any AI application relies heavily on the quality of its training data, yet for most teams, this crucial step is both the most costly and time-consuming. We're here to change that. As former computer scientists, physicists, and quants, we've experienced firsthand how a lack of tools to prepare quality training data impedes progress in building AI. We believe AI is at a stage similar to the early days of computing or the internet-where the potential is clear, but the surrounding tools and processes are still catching up. That's why we started Encord. We are a talented and ambitious team of 60, working at the cutting edge of computer vision and deep learning. Backed by $30M in Series B funding from top investors like CRV and Y Combinator, we're one of the fastest-growing companies in our space. We have big plans ahead and are looking to expand our Engineering team to help us in building a better product for our customers. Who we are looking for We're looking for an outstanding experienced engineer to push our platform to the next level of performance and reliability. You'll join us at a crucial stage of accelerated development for the company, product, and team. As part of a small, highly collaborative group, you'll be a key driver of vital projects. An engineer in this position will operate with high degrees of autonomy and will work to build and extend multiple foundational systems. They will be expected to use simple tools to craft performant, reliable, and maintainable solutions to challenging problems - both technical and product. What to expect High performing team: You'll join the small team that has built a product that our customers love. Members of the team are veterans of both established companies and successful startups. While the team is more than a sum of its parts, every member is impressive in their own right. Impact: Your work will have direct and tangible impact for customers and in turn noticeably affect the trajectory of the company. End-to-end ownership: You will be entrusted with end-to-end ownership of your projects. From product, design, and architectural decisions, all the way to deployment, monitoring, and measuring impact on users. You will work across the stack, covering everything from deployment to styling. We expect each other to take initiative, be proactive in problem-solving, and continuously seek improvements. Autonomy and collaboration: You will often work autonomously to take charge of your projects, make decisions, and drive your work forward. But as a lean and high trust team, we remain quick to collaborate and support each other with challenging problems together. Scale and simplicity: You will tackle complex domains and immense scale with simple solutions. You'll leverage your expertise to solve challenging problems in simple ways. About You Are experienced: You have seen a lot and built a lot. You have personally developed and maintained multiple systems from scratch and you know what trade-offs are involved in building reliable, performant software at speed. Seek high impact: You want your work to have a tangible outcome for people. You're not satisfied when building products that do not see the light of day or move a number by a tenth of a percent. Are a builder: You enjoy all aspects of building not only software but a complete product and are comfortable moving across the stack when necessary. You enjoy problem-solving and thinking from first principles. You're ready to pick up new skills and build quickly. Are comfortable with uncertainty: You're happy to tackle problems without a predefined clear definition or obvious solution, and are excited to have autonomy to make decisions as you go. Are a team player: You understand that being a member of a high-performing team requires two things. You contribute your best work. You also help others contribute their best. You enjoy lending a helping hand when needed and leveling up those around you. Tech stack We are technology agnostic at Encord. We are not looking for you to have experience in all these technologies. As long as you're open to learning, please apply. We currently use Python and Typescript across our codebase. Prior experience is appreciated but not required. Below is a detailed breakdown of all the technologies we use: Backend: Python Frontend: Typescript and React Kubernetes for deployment GCP for underlying infrastructure Machine Learning: PyTorch, CUDA, Ray We encourage people from all backgrounds, cultures, and skill levels to apply. It is okay to not meet all requirements listed as we are looking for individuals who are passionate and eager to learn. What We Offer Competitive salary, commission, and equity in a hyper growth business. Strong in-person culture: most of our team is in the office 3+ days a week. Room to grow into anything you choose to - a year ago we were 25 people, now we're 60. We'll be growing insanely fast over the next 24 months and you'll have all the opportunities for growth as you can handle. 25 days annual leave a year + public holidays. Encord offers a unique opportunity to be part of a startup with a clear mission and vision. You will get to explore and build services for enterprise AI use cases across many different industry verticals such as healthcare, surveillance, retail, agriculture, and many more. Our work is at the cutting edge of computer vision and deep learning, which also includes working on solving unsolved problems within those fields.

Nansen is a blockchain analytics platform that enriches on-chain data with millions of wallet labels. Crypto investors use Nansen to discover opportunities, perform due diligence, and defend their portfolios with our real-time dashboards and alerts. The successful candidate will preferably be located in the EMEA or APAC timezone. The Opportunity: Nansen is leveling up its strategic capabilities in Artificial Intelligence (AI) and Machine Learning (ML). We are actively seeking a highly skilled and motivated Senior AI/ML Engineer to join our team. In this role, you will develop and monitor AI models to analyze vast amounts of blockchain data, identifying patterns and insights that drive decision-making for crypto investors. Your contributions will be key to advancing Nansen's mission of surfacing the signal and creating winners in the future of finance. As a Senior AI/ML Engineer at Nansen, you will play a crucial part in enhancing our platform's capabilities, enabling us to offer a cutting-edge product to our users. Your expertise will not only influence the direction of our technology but also solidify Nansen's position as a leader in blockchain analytics. Key Responsibilities: Lead the design, implementation, and use of AI/ML models to process and analyze blockchain data, ensuring high performance and scalability. Collaborate with product managers and engineers to integrate AI/ML models into Nansen's platform, enhancing its analytical capabilities and improving user experience. Stay abreast of the latest developments in AI/ML and blockchain technologies, applying innovative approaches to solve complex challenges. Mentor junior engineers and promote best practices in AI/ML development across the team. Work closely with cross-functional teams to align AI/ML initiatives with business objectives and customer needs. Requirements: Proven experience as an AI/ML Engineer or similar role, with a strong portfolio of successful AI/ML projects. Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and programming languages such as Python. Familiarity with modern AI models, APIs, and SDKs (e.g. OpenAI, LLMs) An ability to work full-stack with data; some data engineering experience is a big plus Strong analytical skills and the ability to work with large, complex data sets. Excellent communication skills, with the ability to collaborate effectively in a remote work environment across multiple time zones. A passion for blockchain, crypto, and Web3 technologies. What We Offer: Competitive salary and generous equity. Remote work environment with a flexible schedule. A team that values data and AI; our founders are data engineers and data scientists The opportunity to work from our Tech Hubs (flight & accommodation paid for) in Singapore, London, Bangkok, & Lisbon. A company culture that values transparency, speed, courage, and curiosity. Opportunities for personal and professional growth as the company scales. Exposure to a global network of industry experts, partners, and influencers.