Head of Learning Job at 360 Resourcing Solutions (Chichester)

Head of Learning Products and Commercial Strategy

This opportunity is to join a long-term client of Instinct’s; a respected and fo...

Location

United Kingdom , East Midlands

Salary:

55000.00 - 75000.00 GBP / Year

Instinct Resourcing

Expiration Date

Until further notice

Requirements

Proven experience leading learning product teams to achieve strategic and commercial success
Deep understanding of how to implement learning design, UX/UI principles, and digital learning technologies to improve a product suite
Experience managing and developing multidisciplinary teams (Commercial, Operations, Marketing, etc.)
Excellent stakeholder management and communication skills, capable of influencing and driving commercial success
Knowledge of the broader education or qualifications landscape to identify growth opportunities through new business ventures

Job Responsibility

Take full ownership of a diverse portfolio of learning products, including digital courses, regulated qualifications, and bespoke client programmes
Lead a team of product, business, and study centre managers to drive innovation, efficiency, and learner impact across all formats
Play a key role in commercial success and innovation by shaping product strategy, identifying new business opportunities, and ensuring that the organisation’s learning offerings remain relevant, inclusive, and future-focused
Adopting emerging technologies and enhancing UX principles
Analysing performance data and managing global learning products

What we offer

Hybrid working model with flexible hours
Generous pension scheme
25 days’ holiday plus bank holidays, increasing with service
Enhanced wellbeing and family leave policies
Comprehensive learning and professional development support
Commitment to diversity, inclusion, and sustainability across all operations

Fulltime

Head of Machine Learning

We are seeking an experienced and visionary Head of Machine Learning to lead and...

Location

United States , Mountain View

Salary:

414000.00 - 506000.00 USD / Year

EarnIn

Expiration Date

Until further notice

Requirements

MS or Ph.D. degree in Computer Science, Statistics or a related technical field, and or equivalent work experience
10+ years of experience in Engineering or Scientific domains
7+ years of experience as a team builder and leader in hiring, developing, and managing high-performing teams
Extensive breadth and depth of knowledge of machine learning algorithms
Industry experience building and productionizing machine learning systems
Advanced knowledge of Python, SQL
Strong oral and written communication skills

Job Responsibility

Define and own the machine learning roadmap in alignment with business goals
Lead the ML organization, consisting of multiple teams, to design, develop, and optimize ML-based models and systems
Drive a culture of scientific and engineering rigor and real-world pragmatism in your team's work, particularly to quantify the impact of features on relevant engagement metrics
Collaborate with data engineers, product managers, and marketing to coordinate timely deployments from conception to release

What we offer

equity and benefits

Fulltime

Head of Talent and Learning

The Head of Learning, Performance and Talent is responsible for designing, imple...

Location

United Kingdom , Aldgate Tower

Salary:

Not provided

Gravita

Expiration Date

Until further notice

Requirements

Extensive experience in Talent, Learning, or Organisational Development (OD) within professional services
Knowledge of qualifications like ICAEW, ACCA, CTA, and AAT
Ability to design scalable talent solutions for multi-site organisations and implement performance management frameworks
Strong stakeholder management and influencing skills, along with experience managing small teams
Proficient in instructional design, creating career paths, and conducting needs analysis
Familiar with AI-driven learning solutions and skilled in consulting with senior leadership on talent development
Excellent facilitation skills for delivering learning interventions

Job Responsibility

Talent Management: With the CPO, develop and deliver a practical, scalable Talent Strategy suited to a mid-tier environment
Lead structured talent reviews, succession planning, and pipeline development
Identify current and emerging skills gaps across service lines
Oversee early careers programmes including graduates and apprentices
Ensure fair and inclusive talent processes across offices
Maintain the organisational behavioural framework and keep ‘live’. Embed in ways of working, performance, assessment and development frameworks
Learning & Development: Create a firmwide learning curriculum covering technical training and soft-skills
Manage relationships with training partners and professional bodies
Build a blended learning offer including virtual, classroom, and coaching
Drive leadership development for managers, directors, and future partners

What we offer

Your development won’t be forgotten, our development support is extraordinary for a firm of our size
Flexible working and happy employees are at the top of our list here at Gravita and we have been working hard to support our teams through the fast-paced changes

Fulltime

Head of Engineering, Product AI

Atlassian is looking for a Head of Engineering to lead product AI feature develo...

Location

United States , Seattle; Mountain View; San Francisco

Salary:

251700.00 - 400000.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

Over 8 years of experience in building and scaling engineering teams, specializing in Artificial Intelligence or Machine Learning domains
Extensive experience leading engineering teams, including managing managers of managers, and efficiently running organizations with 30+ engineers across multiple geographies
A track record of delivering high-quality AI solutions in a product-driven organization
Deep expertise in AI/ML technologies, particularly in quality assurance, testing, and validation
Previous experience collaborating with Engineering, Product Management, and Platform teams
Exceptional communication and leadership skills, capable of inspiring and guiding teams effectively
Strong problem-solving abilities and adaptability to thrive in fast-paced, collaborative environments
Demonstrated ability to manage complex projects and foster cross-functional collaboration
Bachelor's or Master's degree in Computer Science, Engineering, or a related field

Job Responsibility

Define and execute the engineering strategy for Product AI quality, ensuring alignment with Atlassian's AI vision and product roadmap
Lead and mentor a team of engineers, fostering a culture of innovation, collaboration, and technical excellence
Collaborate with cross-functional teams, including product managers, data scientists, and designers, to integrate personalized AI solutions into Atlassian's ecosystem
Oversee the development of frameworks and tools to evaluate and ensure the quality, fairness, and reliability of personalized AI models and systems
Drive the adoption of best practices in AI quality assurance, including rigorous testing, monitoring, and validation processes
Ensure the scalability, security, and ethical deployment of personalized AI technologies
Partner with product and engineering teams across geographies to integrate quality-focused AI solutions into Atlassian's suite of products
Act as a thought leader within the organization, advocating for responsible AI practices and continuous improvement in AI quality
Represent the Central AI team in external forums, showcasing Atlassian's commitment to AI quality and innovation

What we offer

health coverage
paid volunteer days
wellness resources

Fulltime

Head of Data and AI

As the Head of Data and AI, you will drive innovation by identifying and integra...

Location

Sweden , Stockholm

Salary:

Not provided

DanAds

Expiration Date

Until further notice

Requirements

Proven experience building and leading centralized Data/AI teams, including data engineering, data science, and MLOps functions
5+ years of experience deploying ML models into production on AWS (SageMaker, MLOps pipelines)
Experience deploying AI-powered features into customer-facing SaaS platforms
Proven expertise in exposing ML inference via scalable, low-latency REST APIs
Strong background designing and managing high-volume data pipelines (e.g., Kinesis, Kafka, Spark) for feature engineering
Experience implementing model monitoring, drift detection, and XAI frameworks, including establishing an AI governance framework
Advanced degree (MS/PhD) in Computer Science, Statistics, or a quantitative field
Demonstrated ability to translate AI capabilities into product strategy
Deep understanding of data security, PII handling, and privacy-by-design (GDPR, CCPA, SOC2) as applied to ML systems

Job Responsibility

Design, train, and deploy production-grade ML models (using AWS SageMaker, Bedrock, Comprehend) for predictive analytics, anomaly detection, recommendation engines, and automation
Own the entire ML model lifecycle, from training and versioning to secure, low-latency deployment on AWS
Define and implement a company-wide data strategy, including governance, quality, lineage, and access control
Partner with the Domain Expert to formalize AI-driven rules within the BRD
Implement robust monitoring for model drift, bias, and performance
Develop and expose "explainability" endpoints for critical AI decisions
Work with the Platform Back-End Dev to define data pipelines and API contracts for real-time model inference

What we offer

Competitive salary
Wellness grant and occupational pension
A fun and entrepreneurial environment
Career growth opportunities
Industry leading clients such as Paramount Advertising, Yahoo, Nine Group, Roku and many more

Head of AI - Driving Innovation Across Product & Enterprise

At Volkswagen Group Innovation, we are pioneering the technologies that will def...

Location

Germany , Wolfsburg

Salary:

Not provided

Volkswagen AG

Expiration Date

Until further notice

Requirements

Successfully completed degree in Computer Science, Physics or Electronics with a strong academic background in Artificial Intelligence, Data Science, or a related field
Deep expertise in Artificial Intelligence, including machine learning, deep learning, and generative AI
A strong track record of leading AI teams and projects, ideally across both product development and enterprise transformation
Leadership experience in research, pre-development and development projects in the field of AI & Machine Learning
Experience in applying AI to real-world automotive or mobility products as well as enterprise systems (e.g., supply chain optimization, predictive maintenance, intelligent automation)
Experience working in international setups, collaborating across geographies and cultures
Strategic thinking, excellent communication skills in English C1 and German B2 and the ability to inspire and align diverse stakeholders

Job Responsibility

Managing and inspiring a group of AI developers working across international hubs as well as fostering collaboration with top experts and diverse stakeholders, aligning teams around strategic objectives
Developing with the team intelligence features and ensuring integration of AI into real-world automotive and mobility products
Bridging research and implementation by identifying promising AI technologies and ensuring their scalable deployment as well as engaging with internal and external partners to drive AI transformation
Product AI Leadership: Driving intelligent features in areas such as Autonomous Driving, Smart Cabin Experiences, and other next-generation mobility solutions
Enterprise AI Strategy: Leveraging AI to enhance efficiency, logistics, and production processes, unlocking new levels of operational excellence

What we offer

30 vacation days + 24.12. and 31.12. off
40-hour week
Company pension
Flexible working hours
Mobile working
Training and consulting offers
Special conditions for the purchase and leasing of vehicles
Bicycle leasing
Sabbatical program

Fulltime

Head of Quality Engineering

At Fospha, speed and quality aren’t trade-offs — they’re the same thing. Our goa...

Location

India , Mumbai

Salary:

Not provided

Blenheim Chalcot

Expiration Date

Until further notice

Requirements

Senior leadership experience scaling QA or Quality Engineering functions, ideally across multiple geographies
Ability to drive transformation from traditional QA to developer-owned Quality Engineering and continuous delivery
Deep technical mastery in automation frameworks, data quality engineering, and ML validation
Understanding of how to validate GenAI-powered systems — including prompt resilience, output coherence, and model drift
Retain hands-on credibility — able to advise on tooling, review architecture, and guide senior engineers

Job Responsibility

Define and embed a unified QA strategy across software, data and ML pipelines — building on existing frameworks to drive measurable improvements in speed, quality and delivery confidence
Architect and execute systemic quality interventions — using real-time data and deep organisational observation to identify bottlenecks and rework process, tooling and team structures
Advance quality in GenAI-powered interfaces — pioneering validation strategies for conversational and emergent UIs where traditional testing is insufficient
Lead and grow a distributed QA team — evolving the current team into a global centre of excellence, embedding Quality Engineering expertise across all delivery teams
Own and communicate QA metrics — defining and reporting on speed, quality, rework and schedule achievement to drive visibility and strategic decision-making across the SLT

What we offer

Competitive salary
Be part of a leading global venture builder, Blenheim Chalcot, and learn from the incredible talent in BC
Be exposed to the right mix of challenges and learning and development opportunities
Flexible Benefits including Private Medical and Dental, Gym Subsidiaries, Life Assurance, Pension scheme etc
25 days of paid holiday + your birthday off
Free snacks in the office
Quarterly team socials

Fulltime

Head of Early Learning School & PYP Coordinator

The Head of Early Learning School (ELS) is a key member of the Altair Leadership...

Location

Peru , Lima

Salary:

Not provided

International School of Bergamo

Expiration Date

Until further notice

Requirements

A university degree in Education or Early Childhood Education
Proven experience in Early Years education, including leadership experience in a bilingual or international school
Deep knowledge of early childhood pedagogy, curriculum frameworks, and child development
Proven experience leading, mentoring, and developing teachers and assistants
A strong understanding of bilingual education and language acquisition in young learners
Excellent interpersonal and communication skills
A collaborative, innovative, and reflective approach to leadership
Native or near-native English proficiency
A commitment to Inspired Education’s values of excellence, global citizenship, and holistic education

Job Responsibility

Provide strategic leadership and day-to-day management of the Early Learning School
Lead a team of teachers and assistants to deliver a developmentally appropriate and bilingual curriculum
Foster a positive, inclusive, and stimulating environment
Oversee curriculum design, planning, and assessment
Ensure that teaching practices are innovative, child-centred, and based on current research
Develop and implement strategies to support the transition of children from Early Learning to Primary School
Work closely with the Head of School and Senior Leadership Team
Recruit, develop, and evaluate Early Learning staff
Build strong, trusting relationships with families and the school community
Oversee health, safety, and safeguarding standards

What we offer

Work in state-of-the-art facilities
Industry-leading professional development
Exceptional career opportunities
Mobility across our group

Select Country

Head of Learning

360 Resourcing Solutions

Location:
United Kingdom , Chichester

Category:
Education

Contract Type:
Employment contract

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
May 20, 2026

Expiration:
June 08, 2026

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