Location(s): UK, Europe & Africa : UK : London BAESystems Digital Intelligence is home to 4,500 digital, cyber andintelligence experts. We work collaboratively across 10 countriesto collect, connect and understand complex data, so thatgovernments, nation states, armed forces and commercial businessescan unlock digital advantage in the most demanding environments.Job Title: Machine Learning Engineer Requisition ID: 121364Location: London – We offer a range of hybrid and flexible workingarrangements – please speak to your recruiter about the options forthis particular role. Grade: GG10-GG11 Referral Bonus: £5,000 Areyou passionate about working with cutting-edge AI/ML technology?Are you self-motivated to find innovative solutions to complexchallenges as part of a team who help keep the UK safe? Join BAESystems as an experienced Machine Learning (ML) Engineer. As partof our AI team, you will be working with our National SecurityCustomers to understand their business challenges and identifywhere AI/ML-based solutions can add value. You will lead onprototype development and be responsible for designing,implementing, and deploying AI solutions. This cross-functionalrole requires a strong foundation in software engineering,statistics, and AI/ML concepts. Due to the fast-paced change inAI/ML, you are expected to be aware of the latest advancements inAI and ML technologies, ensuring that solutions are both innovativeand effective. You’ll work as part of an empowered,multi-disciplinary AI team whose purpose is to develop common AIpropositions that will benefit a range of our customers. Workingalongside a Data Scientist, AI Strategy Lead, and DeliveryManagement you will focus on engineering activities within our AIStrategy which is focused on: 1. Our Customers: Elaborate userneeds and measure AI value 2. Our Position: Establish our marketposition and define our USP 3. Our Skills: Develop our career pathsand learning plans for AI 4. Our Partners: Understand technologypartner capabilities and build our AI partner ecosystem 5. OurInnovation: Learn through AI experiments and demonstratepull-through to product development Working in a small team you’llbe given as much ownership and responsibility as you have theappetite for, but be part of our much bigger National Securitycommunity that will give you the support you need to grow in yourcareer. You will work closely with data scientists to understanddata requirements, clean and organize data, and build efficient,scalable capabilities. Our unique customers have interesting,complex data. You will conduct practical AI experiments to testtechnical assumptions and assess technology maturity to meet userneeds. As an engineering expert in AI/ML you’ll be expected todevelop, test, and validate applications using machine learningmodels, demonstrating how they can mature from prototype toproduct. You will provide support to other early adopterengineering teams attempting to develop and integrate their ownmachine learning solutions. We’re embarking upon a pivotal periodthat will significantly grow our AI capability, where you will behelping to develop innovative products & services that supportour customers' missions. You will have the opportunity to get toknow our own business and work with people across a diverse rangeof professional backgrounds. This is an exciting time to join ourteam to help pioneer both our customer’s and our own AI adoptionjourney. Not only will you be directly making a huge impact throughthe solutions you develop, you’ll be doing it for an organizationthat makes a huge impact on the security of the UK. About you Youwill have experience in many of the following: 1. Prototypingapplications using machine learning (ML) models to test feasibilityand impact. 2. Engineering and implementing ML-based solutions,with proven ability to own the end-to-end process and lifecycle ofML systems. 3. Deploying models and handling technical aspects ofmaking models operational to meet user needs. 4. Integrating modelswithin applications, and incorporating them into wider systems. 5.Monitoring model performance through regular evaluation of deployedmodels, identifying performance gaps and opportunities foroptimization. 6. Researching techniques by continuously exploringthe latest ML and AI advancements to identify methods that canenhance current systems. 7. Adhering to policy and ethical AIstandards, ensuring machine learning practices comply withcompliance processes and guidelines. 8. Providing technicalguidance in the implementation and integration of machine learningto other cross-functional teams. 9. Programming in one or more ofPython, Java, .Net, JavaScript, C++. 10. Using MLOps tools andframeworks. 11. Source controlling your code with Version ControlSystems, for example Git, Mercurial, Perforce. 12. Utilizingcontainerization technologies e.g. Docker, Kubernetes. It would begreat if you also had experience in some of these, but if not we’llhelp you with them: 1. Optimizing models from data scientists byworking closely with them to refine, optimize, and implement modelsbased on prototypes. 2. Defining and improving MLOps processes bycreating and refining the model development and deployment strategyfor better efficiency and results. 3. Ensuring the quality andaccessibility of data used for machine learning projects isappropriate, collaborating with data engineers as necessary. 4.Performing data analysis to enable machine learning engineeringtasks, such as ethics/bias assessments or exploratory data analysisto inform model development/deployment pattern choice. 5.Maintaining comprehensive documentation of model development,including methodologies, performance evaluations, and deploymentdetails. 6. Developing and running solutions in Cloud-basedenvironments & Cloud ML Services e.g. AWS, MS Azure. 7.Integrating with relational, document, search and graph databasesystems. 8. Utilizing CI/CD tools, such as Bamboo, Jenkins,TeamCity, Bitbucket, in order to streamline the delivery of newfeatures and fixes. Security Clearance is required for thisvacancy. If you are not currently Security Cleared, you will needto be eligible for this and willing to go through the process. Howwe will support you 1. Work-life balance is important; you can workaround core hours with flexible and part-time working, and many ofour roles include hybrid working enabling a mix of working fromhome and in the office. 2. You’ll get 25 days holiday a year andthe option to buy/sell and carry over from the year before. 3. Ourflexible benefits package includes private medical and dentalinsurance, a competitive pension scheme, cycle to work scheme,taste cards, and more. 4. You’ll have a dedicated Career Manager tohelp you develop your career and guide you on your journey throughBAE. 5. You’ll be part of our company bonus scheme. 6. You arewelcome to join any/all of our Diversity and Support groups. Thesegroups cover everything from gender diversity to mental health andwellbeing. About our team Our people are what differentiates us;they are resourceful, innovative, and dedicated. We have a mix ofgeneralists and specialists and recognize that this diversitycontributes to our success. We recognize the benefits of formingteams from a mix of disciplines, which allows us to come up withcutting-edge, high-quality solutions. Our breadth of work acrossthe Public Sector provides diverse opportunities for our people todevelop their careers in new areas of expertise and with newclients. You’ll be part of a big company, but we try to create aculture that feels like a small one. The work will stretch you andbe challenging, but we encourage a healthy work-life balance. Mostof all, we know teams who work well together also perform well.We’ll do everything we can to ensure you have fun at work, and insocial activities outside of it whether that’s virtually or inperson, as conditions allow. You will be joining our NationalSecurity business which is the largest area within our UK business.Our mission is to be the most trusted partner for our NationalSecurity clients in the delivery of their core mission. At the endof 2020, we had over 700 employees working across our security andlaw enforcement customers. This year, we are looking to build onour success and grow even further by recruiting over 100 newmembers to our team. We have a rich history of working withinNational Security. In fact, we have over 40 years’ experience ofdelivering advice and solutions to our customers in this sector,supporting them in carrying out their vital missions. More aboutBAE Systems You will work for a division of BAE Systems who helpsnations, governments, and businesses around the world defendthemselves against cybercrime, reduce their risk in the connectedworld, comply with regulation, and transform their operations.We’re a consultancy and products business and employ smart,motivated individuals who work together across a range of projectsand products. You’ll get to work on a variety of different systemsfor different customers throughout your career with us. We’repassionate about Diversity and Inclusion in our workforce and thepeople you’ll work with will reflect this. We employ over 4,000people across 18 countries in the Americas, APAC, UK, and EMEA. Formore information please visit our website: BAE Systems NationalSecurity Life at BAE Systems Digital Intelligence We are embracingHybrid Working. This means you and your colleagues may be workingin different locations, such as from home, another BAE Systemsoffice or client site, some or all of the time, and work might begoing on at different times of the day. By embracing technology, wecan interact, collaborate and create together, even when we’reworking remotely from one another. Hybrid Working allows forincreased flexibility in when and where we work, helping us tobalance our work and personal life more effectively, and enhancewell-being. Diversity and inclusion are integral to the success ofBAE Systems Digital Intelligence. We are proud to have anorganizational culture where employees with varying perspectives,skills, life experiences, and backgrounds – the best and brightestminds – can work together to achieve excellence and realizeindividual and organizational potential. Company: BAE SystemsQualifications: Language requirements: Specific requirements:Educational level: Level of experience (years): Senior (5+ years ofexperience) Tagged as: Data Analysis, Industry, Machine Learning,NLP, United Kingdom #J-18808-Ljbffr
