{"id":1470617,"url":"https://alion.io/job/standard-chartered-senior-ml-engineer","title":"Senior ML Engineer","company":{"id":20709,"name":"Standard Chartered","domain":"sc.com","url":"https://alion.io/company/standard-chartered-gbs","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":22000,"max_usd":46000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":29},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Claude Code","optional":false},{"name":"Computer Vision","optional":false},{"name":"Copilot","optional":false},{"name":"Function Calling","optional":false},{"name":"Hallucination","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Tool Use","optional":false}],"status":"live","first_seen_at":"2026-09-29T16:04:02Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-10-01T18:00:46Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Job Summary\nDeliver production-grade machine learning and generative AI solutions end-to-end, from business requirement and solution design through build, validation, deployment, monitoring and improvement.\nEngineer governed, observable and auditable agentic AI systems, including tool calling, retrieval and memory, sandboxed execution, policy and approval controls, tracing, telemetry and automated evaluations.\nAccelerate reliable delivery through coding agents and AI-assisted SDLC practices while ensuring responsible AI, security, model governance and measurable business outcomes.\nKey Responsibilities\nOperate as a senior individual contributor responsible for designing, building, deploying and improving production-grade ML, GenAI and agentic AI solutions, while providing technical guidance and mentoring to engineering colleagues.\nTranslate business goals into scalable AI systems and deliver machine learning solutions across design, coding, training, testing, deployment and iteration. Apply NLP, computer vision, classification, clustering, deep learning, optimisation, supervised and unsupervised techniques, and select suitable algorithms, software, hardware and integration methods.\nEngineer the runtime and control layers around models, including tool calling, retrieval and memory, sandboxed execution, policy and approvals, tracing and telemetry, automated evaluations, audit trails, role-based access control and regulatory controls. Monitor model performance, remediate delivery and AI risks, improve solutions after delivery, and use coding agents and AI-assisted SDLC practices to increase quality and consistency.\nAI/ML solution engineering\nDesign, code, train, test, deploy and iterate enterprise-scale machine learning and generative AI solutions that support predictions, recommendations, search and business growth strategies.\nApply NLP, computer vision and machine learning techniques to structured and unstructured data, and choose suitable algorithms, software, hardware and integration methods.\nEnd-to-end delivery and business outcomes\nUnderstand business requirements, translate goals into scalable AI systems and deliver committed scope to agreed schedules and quality standards.\nEstablish scalable, efficient and automated processes for data analysis, model development, validation, implementation and post-delivery improvement.\nAgentic AI harness engineering and production readiness\nBuild governed, observable and evaluated agent workflows using tool calling, retrieval and memory, sandboxed execution, policy and approval controls, tracing, telemetry and automated evaluations.\nCarry out testing and validation to ensure systems operate reliably and satisfy quality, security, responsible AI and production-readiness standards.\nResponsible AI, risk and governance\nImplement audit trails, role-based access control, approval workflows and regulatory controls, and ensure AI/ML development and validation follow Responsible AI guidelines and standards.\nIdentify and escalate delivery and AI risks, define remediation roadmaps, and use guardrails to mitigate hallucination, unsafe actions, data leakage and compliance violations.\nModel performance and continuous improvement\nMonitor model and system performance after delivery, use relevant metrics to identify degradation or control gaps, and implement model improvements.\nUse coding agents and AI-assisted SDLC practices, including GitHub Copilot, Claude Code, specification-driven development and open specification workflows, to improve delivery quality and consistency.\nTechnical Guidance and Collaboration (for Non-People Leader roles)\nProvide technical guidance and share practical engineering knowledge to improve team delivery and solution quality.\nCoach and mentor colleagues on machine learning, agentic AI, harness engineering and AI-assisted SDLC practices.\nCollaborate across disciplines, uphold strong risk and conduct standards, exercise sound technical judgment and contribute to an inclusive, accountable engineering culture.\nTechnical guidance, collaboration and mentoring\nProvide technical direction, coaching and mentoring to colleagues building scalable machine learning and agentic AI solutions.\nWork collaboratively across engineering, product, design, infrastructure and interfacing programme teams, and build effective stakeholder relationships.\nMotivations\nSolving complex business problems by turning structured and unstructured data into reliable, production-grade AI capabilities.\nEngineering governed, observable and auditable agentic systems that perform safely in a regulated environment.\nLearning through experimentation and using modern AI-assisted engineering practices to improve quality, speed and measurable outcomes.\nSkills and Experience\nMust-have Skills\nMachine learning, NLP and computer vision solution engineering\nEnterprise ML and GenAI development, validation and deployment\nAgentic AI harness engineering, tool use, retrieval and evaluation\nOther Skills\nResponsible AI, security, model governance and regulatory controls\nModel performance monitoring, observability and continuous improvement\nSoftware engineering, integration and AI-assisted SDLC\nStakeholder management, cross-functional delivery and technical mentoring\nQualifications\nKey Experiences\n8-12 years of relevant hands-on experience in machine learning and software engineering, including development, validation, deployment and improvement of enterprise AI/ML solutions.\nCertifications / Qualifications\nMaster's degree with specialisation in Technology.\nLanguages\nEnglish\nAbout Standard Chartered\nWe're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.\nOur purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion.\nTogether we:\nDo the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do\nNever settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well\nAre better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term\nWhat we offer\nIn line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.\nCore bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.\n Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.\nFlexible working options based around home and office locations, with flexible working patterns.\nProactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits\nA continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.\n Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.","description_format":"text","description_chars":8075,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Annual leave","Continuous learning","Flexible schedule","Life insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Financial Services","Commercial & Retail Banks","Wealth Management & Financial Advisors","Investment Banking & M&A Advisory"],"lifecycle":[{"event":"open","at":"2026-09-29T16:04:02Z"}],"liveness":{"score":60,"band":"ok","label":"Likely open","p_open":1,"p_active":0.803,"p_room":0.75,"age_days":1,"expected_fill_days":2,"reasons":["conf:9","velocity","win:late","comp:brand"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/standard-chartered-senior-ml-engineer","json_url":"https://alion.io/job/standard-chartered-senior-ml-engineer.json","meta":{"generated_at":"2026-10-02T02:40:50Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3625,"day_limit":5000,"remaining_today":1375,"minute_limit":60,"resets_at":"2026-10-03T00:00:00Z"}}}