Senior Manager, AI & ML Engineering Job at Alter Domus (London)

Senior Manager, AI & ML Engineering

You will be a leader in Alter Domus' AI & ML engineering organization driving en...

Location

India , Hyderabad

Salary:

Not provided

Alter Domus

Expiration Date

Until further notice

Requirements

10+ years of experience in software engineering, data engineering, or AI/ML engineering roles
5+ years managing technical teams, including experience managing managers
Deep expertise with Python, modern ML frameworks (PyTorch, TensorFlow), and data science ecosystems
Production experience with LLM APIs (OpenAI, Anthropic, AWS Bedrock) and agentic frameworks (LangChain, LangGraph etc)
Strong understanding of vector databases, RAG and GraphRAG architectures, and semantic search
Experience with cloud platforms (AWS, Azure or GCP), microservices, APIs, and containerization (Docker/Kubernetes)
Proven track record delivering enterprise AI/ML solutions at scale
Experience with portfolio management, budget ownership, and ROI tracking and OKRs

Job Responsibility

Help define and drive the multi-year technical roadmap for Alter Domus' AI platforms
Make critical build-buy-partner decisions for AI/ML capabilities
Sponsor platform modernization programs and guide the evolution from proof-of-concept to production-scale AI solutions
Drive measurable and accurate business outcomes through AI adoption
Lead the technical architecture for RAG and GraphRAG pipelines, multi-agent orchestration, and LLM based documents processing technologies
Manage portfolio resource mix and capital allocation
Collaborate with business leaders to define product strategy
Monitor AI/ML market trends, competitor capabilities, and emerging technologies
Build business cases with clear ROI tracking
Design sustainable cost structure for the AI/ML portfolio

What we offer

Support for professional accreditations such as ACCA and study leave
Flexible arrangements, generous holidays, plus an additional day off for your birthday
Continuous mentoring along your career progression
Active sports, events and social committees across our offices
24/7 support available from our Employee Assistance Program
The opportunity to invest in our growth and success through our Employee Share Plan
Plus additional local benefits depending on your location

Fulltime

Senior Engineering Manager - AI Team

At hyperexponential, we're building the AI-powered platform that enables the wor...

Location

United Kingdom , London

Salary:

Not provided

hyperexponential

Expiration Date

Until further notice

Requirements

Led the technical delivery of complex, ambiguous products or systems in a domain without established playbooks
Built and iterated on a structured experimentation or discovery framework
Owned and delivered a DevEx or platform roadmap that materially improved engineering velocity
Managed or technically led a high-performing engineering team
Shipped AI / ML powered features or systems at production scale
Collaborated closely with cross functional partners (such as Product, Design, and Research / Data Science) to define strategy, shape roadmaps, and make trade-offs

Job Responsibility

Owning end-to-end technical delivery for one Agent team
Designing and institutionalising an explore / exploit operating model for your team
Partnering with Product, Design, and Research Engineering to co-design solutions
Building and maintaining a DevEx roadmap focused on engineering velocity
Coaching and mentoring AI Engineers
Creating a culture of high trust and high accountability

What we offer

£5,000 training and conference budget
25 days of holiday plus 8 bank holidays (33 days total)
Company pension scheme via Penfold
Mental health support and therapy via Spectrum.life
Individual wellbeing allowance via Juno
Private healthcare insurance through AXA
Income protection and Life Insurance
Cycle to Work Scheme
Top-spec equipment (laptop, screens, adjustable desks, etc.)
Regular remote and in-person hackathons, lunch and learns, socials, and game nights

Fulltime

Senior Engineering Manager, AI

At Monarch, AI is the engine powering intelligent, personalized financial experi...

Location

United States

Salary:

Not provided

Monarch Money

Expiration Date

Until further notice

Requirements

7+ years of experience in software engineering
at least 3 years building and operating production ML/AI systems
2+ years of engineering management experience, leading teams of senior engineers on complex technical projects
technical depth in AI/ML
experience with LLMs and GenAI in production
a track record of building healthy engineering teams
strong product intuition
excellent communication skills

Job Responsibility

Lead and Grow the Team
Set Technical Direction
Deliver with Quality
Build Cross-Functional Partnerships
Hire Thoughtfully

What we offer

Work wherever you want! As a fully remote company
Competitive cash and equity compensation in a hyper growth, early stage company
Stipend to set-up your ideal working environment
Competitive Benefit Plans for employees based on your location (e.g. in the US we offer: Medical, dental and vision benefits and the ability to contribute to a 401k plan)
Unlimited PTO
3 day weekend every month! We take off the “First Friday” every month to focus on rest, recuperation, or just having fun!

Fulltime

Senior Engineering Manager - AI

We are seeking a Senior Engineering Manager (Level 5) to lead a high-performing ...

Location

India , Chennai

Salary:

Not provided

Arcadia

Expiration Date

Until further notice

Requirements

15+ years of professional experience in software engineering
At least 4+ years in engineering leadership roles
Strong technical background in AI/ML systems, large-scale data pipelines, and cloud-native platforms
Hands-on experience with Python (preferred), modern ML frameworks (PyTorch/TensorFlow), and cloud services (AWS)
Proven success in managing teams of 4–6 engineers, scaling processes, and building diverse, high-performance teams
Strong architectural design and system-thinking abilities
Excellent communication skills with ability to influence cross-functional stakeholders
Passion for sustainability, decarbonization, and using technology to create positive climate impact
Experienced with building agentic pipelines with the latest models from Anthropic, Google, OpenAI, and more

Job Responsibility

Lead and grow a team of engineers focused on building AI-driven and data-intensive systems for the Arcadia platform
Design and train ML/AI models (forecasting, NLP, graph learning, generative AI) to improve data quality, cost effectiveness, and system scalability
Build true agentic workflows with multi-step processing incorporating RAG pipelines and MCPs
Balance management responsibilities (hiring, coaching, performance reviews, career growth) with technical leadership (architecture, system design, technical strategy)
Drive end-to-end delivery of complex projects in partnership with Product, Data, and Infrastructure teams
Guide the adoption of modern AI/ML technologies, ensuring practical, scalable use in production
Foster a culture of high performance, ownership, and technical excellence
Establish engineering best practices in testing, observability, reliability, and CI/CD
Partner with leadership to define roadmaps, set priorities, and align execution with Arcadia’s strategic goals
Represent AI across the company, articulating technical trade-offs and championing innovation

What we offer

Competitive compensation and employee stock options
Hybrid/remote-first working model (India-based role, with global collaboration)
Flexible leave policy
Comprehensive medical insurance (self + family members)
Annual performance cycle + quarterly recognition awards
A supportive, diverse engineering culture grounded in empathy, teamwork, and innovation

Fulltime

Senior Engineering Manager - AI Core Platform

We’re hiring a Senior Engineering Manager (or high-potential EM2) for the Core P...

Location

Ireland , Dublin

Salary:

Not provided

Intercom

Expiration Date

Until further notice

Requirements

Experience leading engineering teams, ideally across infrastructure or platform domains
Recent hands-on coding experience — you’ve shipped production code in the last couple of years
Strong technical judgment and the ability to coach senior engineers through complex architectural trade-offs
Adaptable leadership style suited to a group that will grow quickly, and change shape over time
Curiosity and enthusiasm for AI, with a desire to learn how ML systems are developed and operated in production

Job Responsibility

Lead a high-performing team building the platform and infrastructure that power Intercom’s AI capabilities
Contribute directly to production code, staying close to the work and building knowledge & context through first-hand experience
Support teams of ML Scientists and Engineers building AI powered capabilities
Plan, prioritize, and deliver high-impact roadmaps in partnership with the team’s most senior engineers, balancing delivery, quality, and innovation
Improve developer experience across the AI infrastructure stack, ensuring that systems are observable, scalable, and easy to build upon
Empower the engineers on the team to act with agency and maximize their impact
Expand your scope over time, potentially taking ownership of additional platform domains as the team and AI initiatives grow

What we offer

Competitive salary and equity in a fast-growing start-up
We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
Regular compensation reviews - we reward great work
Pension scheme & match up to 4%
Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
Flexible paid time off policy
Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
Cycle-to-Work Scheme
MacBooks are our standard, but we also offer Windows for certain roles when needed

Fulltime

Senior Manager, AI Engineering

By leading the strategic adoption and scaling of AI across the organisation this...

Location

United Kingdom , London OR Newbury

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

Proven experience in AI strategy, delivery, and enablement
Strong understanding of GenAI, ML Ops, and AI governance
Familiarity with infrastructure provisioning and model lifecycle
Ability to influence cross-functional teams and stakeholders
Experience in training, consulting, and change management
Knowledge of privacy, security, and ethical AI practices

Job Responsibility

Define and deliver the AI strategy and roadmap
Build and maintain self-service AI environments and infrastructure
Implement use cases to demonstrate business value
Operate and monitor AI models for accuracy and performance
Collaborate with architecture, governance, and security teams
Establish best practice and enable reuse across solutions
Drive AI enablement through training and consulting
Evangelise AI adoption across internal and customer-facing teams
Monitor industry trends and pilot emerging opportunities
Measure and report on efficiency gains and impact

What we offer

Great pay, bonuses, up to 28 days off plus bank holidays, and paid time for charity work
Personalise benefits for you and your family, like discounts, vouchers, a pension plan and loads more
Amazing learning tools and top-notch parental leave policies

Fulltime

Senior Engineering Manager, ML Platform

We’re looking for hands-on builders–intellectually curious, deeply technical lea...

Location

United States , San Francisco, CA; Los Angeles, CA; New York, NY; Seattle, WA

Salary:

255000.00 - 345000.00 USD / Year

Whatnot

Expiration Date

Until further notice

Requirements

4+ years of engineering management experience developing production machine learning systems at consumer-scale loads
Bachelor’s degree in Computer Science, Statistics, Applied Mathematics or a related technical field, or equivalent work experience
5+ years of hands-on software engineering experience building and maintaining production systems for consumer-scale loads
1+ years of professional experience developing software in Python
Ability to work autonomously and drive initiatives across multiple product areas and communicate findings with leadership and product teams
Experience with operational, search, and key-value databases such as PostgreSQL, DynamoDB, Elasticsearch, Redis
Experience working with with ML-specific tools and frameworks such as MLFlow, LitServe, TorchServe, Triton
Firm grasp of visualization tools for monitoring and logging e.g. DataDog, Grafana
Familiarity with cloud computing platforms and managed services such as AWS Sagemaker, Lambda, Kinesis, S3, EC2, EKS/ECS, Apache Kafka, Flink
Professionalism around collaborating in a remote working environment and well tested, reproducible work

Job Responsibility

Own the infrastructure powering AI and ML models across critical business surfaces–supporting growth, recommendations, trust and safety, fraud, seller tooling, and more
Guide the prototyping, deployment, and productionization of novel ML architectures that directly shape user experience and marketplace dynamics
Help design and scale inference infrastructure capable of serving large models with low latency and high throughput
Oversee and evolve real-time feature pipelines that feed both our online and offline stores, ensuring single-second feedback from behavioral signals, high reliability, and model training fidelity
Drive feature platform improvements and expand scope to cover non-ML use cases such as fraud rules where point-in-time backtesting is also critical
Lead the development of distributed training and inference pipelines leveraging GPUs and both model and data parallelism
Optimize system performance by managing resource utilization and developing intelligent feature caching strategies
Empower scientists to iterate faster by building abstractions, APIs, and developer tools that simplify the development of near-realtime features and model iteration
Roll out ever-better ergonomics around model training and deployment
Stretch beyond your comfort zone to take on new technical challenges as we scale AI across Whatnot’s ecosystem

What we offer

Generous Holiday and Time off Policy
Health Insurance options including Medical, Dental, Vision
Work From Home Support
Home office setup allowance
Monthly allowance for cell phone and internet
Care benefits
Monthly allowance for wellness
Annual allowance towards Childcare
Lifetime benefit for family planning, such as adoption or fertility expenses
Retirement

Fulltime

Senior Product Manager, AI & ML Platform

Reporting to the Senior Director of Product, Customer Value, you will be instrum...

Location

United States , New York; San Francisco

Salary:

150000.00 - 202400.00 USD / Year

Spring Health

Expiration Date

Until further notice

Requirements

4+ years of Product Management experience, including ownership of highly technical platforms, infrastructure, or developer-facing products
Demonstrated experience partnering deeply with Engineering to ship scalable, reliable systems in production environments
Strong understanding of AI/ML systems and workflows (e.g., model lifecycle, evaluation, deployment, observability), with the ability to translate complex technical concepts into clear product direction
Track record of driving roadmap clarity in ambiguous, fast-moving spaces and delivering measurable outcomes
Experience running continuous discovery with internal users and translating feedback into high-impact platform improvements
Ability to define clear success metrics, service standards, and rollout strategies that drive adoption
Excellent cross-functional communication skills, with the ability to influence senior technical stakeholders without formal authority
Prior machine learning engineering experience is preferred but not required

Job Responsibility

Shape and drive the AI/ML platform strategy and roadmap
Lead continuous discovery with feature teams
Align platform investments to business impact
Define platform solutions in close partnership with Engineering leadership

What we offer

Health, Dental, Vision benefits start on your first day
Access to One Medical accounts
HSA and FSA plans with Spring contributing up to $1K for HSAs
Employer sponsored 401(k) match of up to 2%
Yearly allotment of no cost visits to Spring Health network
Competitive paid time off policies including vacation, sick leave and company holidays
Parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents
Access to Noom
Access to fertility care support through Carrot
$4,000 reimbursement for related fertility expenses

Fulltime

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Senior Manager, AI & ML Engineering

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