data engineer

data scientist

machine learning engineer

senior ai engineer

senior data engineer

data scientist deep learning practitioner

Adobe

The Opportunity
 The Speech AI Lab at Adobe Research is seeking a Senior Audio Research Scientist to join our speech generative AI and multimodal research efforts, based in San Francisco.
 This role is ideal for researchers who stay deeply up to date with the latest AI model architectures and innovations and are motivated to push them forward in real-world creative systems. You will work alongside a world-class team of scientists and engineers to invent, evaluate, and scale next-generation audio and speech technologies—translating state-of-the-art research into products used by millions.
 
Our lab values independent research leadership, technical excellence, and impact. We actively support publication at top venues, collaboration with academia, and rapid iteration from research insight to deployed technology. Responsibilities
 
Lead and execute independent research in speech generative AI, audio modeling, and multimodal learning (text and visuals), with a strong focus on modern large-scale model architectures.
 
Design, analyze, and advance state-of-the-art AI models and training procedures, including foundation models, representation learning, and generative systems for speech and audio.
 
Maintain strong technical currency with the latest developments in model architectures, optimization techniques, data scaling, and training strategies, and apply them creatively to audio and multimodal problems.
 
Demonstrate deep understanding of both audio signal fundamentals and machine learning, enabling principled model design and insightful experimentation.
 
Publish research at leading conferences and journals and pursue patent protection for impactful innovations.
 
Build high-quality research prototypes that demonstrate technical rigor, scalability, and clear paths to product integration.
 
Collaborate closely with engineering and product teams to ensure research outcomes translate into robust, real-world impact.
 
Provide technical mentorship and help set a high bar for research quality and engineering excellence. Requirements
 
Ph.D (preferred). or Master’s degree in Computer Science, Electrical Engineering, or a related field, with a strong research focus in audio, speech, and machine learning.
 
3+ years of research experience in industry strongly preferred.
 
Proven track record of independent research contributions, such as first-author publications or equivalent leadership in research projects.
 
Deep expertise in audio and machine learning, including strong intuition for:
 
Speech and audio generation
 
Audio representations and modeling
 
Training large-scale neural models
 
Hands-on experience with modern AI architectures and training pipelines, and a demonstrated ability to quickly adopt and extend new techniques.
 
Strong Python and deep learning development skills, with attention to performance, reproducibility, and experimental rigor.
 
Excellent communication skills and the ability to clearly articulate complex technical ideas.
 
A clear appetite for real-world impact, coupled with a commitment to technical excellence and high research standards.
 About Adobe
 Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
 
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
 
Let’s Adobe together
 At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture , focus on people, purpose and community , Adobe for All , comprehensive benefits programs , the stories we tell , the customers we serve, and how you can help us advance our mission of empowering everyone to create.
 
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.
 
Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com .
 
AI Use Guidelines for Interviews: 
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
 
At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience .

Senior Research Scientist

JPMorganChase

<div>JOB DESCRIPTION 
 
 
Payments sit at the center of the global economy, connecting businesses and consumers around the world. You will join a team driving innovation in this fast evolving space as new technologies reshape how money moves. In this role, you will work at the forefront of modern machine learning and generative AI to deliver meaningful, lasting impact on global finance. You will partner closely with product, operations, risk, and technology teams to turn ideas into measurable outcomes. You will also have opportunities to mentor others and help shape how we build and operate production AI. 
 
As a Vice President Machine Learning Data Scientist in Payments Machine Learning, you will lead the design, development, and production deployment of machine learning applications, including generative AI and agentic systems, on cloud infrastructure. You will own end-to-end delivery from problem framing and experimental design through scalable MLOps, evaluation, governance, and integration with strategic systems. You will help set technical direction, establish reusable patterns, and ensure solutions are reliable, secure, and observable in production. You will mentor engineers and data scientists and translate complex technical work into clear decisions and outcomes for stakeholders.
Job Responsibilities<ul><li>
Lead end-to-end delivery of machine learning and AI solutions for complex payments and banking operations problems, from discovery and framing to production rollout and lifecycle management</li><li>
Develop innovative machine learning solutions, including generative AI and multi-agent approaches, and define evaluation, safety, and monitoring strategies for production use</li><li>
Own production deployment patterns including containerization, continuous integration and delivery, automated testing, model and prompt registries, model and version governance, monitoring and alerting, and rollback strategies</li><li>
Architect and deploy scalable, reliable, and secure machine learning and large language model services integrated with strategic platforms and downstream consumers across APIs, batch, streaming, and event-driven patterns, meeting service level objectives</li><li>
Partner with product, operations, risk and control, and technology teams to influence roadmaps, align on requirements, and deliver data-led transformations</li><li>
Establish reusable, modular data science and machine learning capabilities that scale across use cases, including feature engineering, evaluation harnesses, prompt tooling patterns, agent frameworks, orchestration, and context and memory management</li><li>
Provide technical leadership and mentorship through code reviews, design reviews, best practices, and upskilling across data science and engineering partners</li><li>
Communicate with technical and non-technical stakeholders, translating model outputs into decisions, tradeoffs, and operational plans</li><li>
Maintain strong documentation for approaches, model cards, runbooks, and operational procedures</li></ul>
Required Qualifications, Capabilities, and Skills<ul><li>
Master's degree in a quantitative field, or equivalent practical experience</li><li>
Deep understanding of machine learning fundamentals with strong applied data analysis skills</li><li>
Demonstrated experience designing rigorous evaluation and measurement in real-world settings</li><li>
Demonstrated experience deploying and operating machine learning models in production at scale, including monitoring, drift and performance management, reliability, incident management, and continuous improvement</li><li>
Strong Python software engineering skills, including modular object-oriented design, testing, performance tuning, and debugging</li><li>
Working knowledge of MLOps and LLMOps and distributed systems, including training and serving patterns, batch versus real-time architectures, feature stores, orchestration, and scalable data processing</li><li>
Ability to design intrinsic and extrinsic evaluations aligned with business goals, including offline and online alignment and guardrails for unintended outcomes</li><li>
Experience working in regulated environments with awareness of model risk, controls, privacy and security, and audit-ready documentation</li><li>
Strong stakeholder management and teamwork skills, with the ability to drive outcomes in partnership with cross-functional teams</li></ul>
Preferred Qualifications, Capabilities, and Skills<ul><li>
Experience with NLP and generative AI, including large language models, retrieval-augmented generation, tool and function calling, agentic workflows, multi-agent orchestration, and related evaluation and safety patterns</li><li>
Familiarity with agentic building blocks and standards, including orchestration frameworks, context and memory management, and interoperability protocols such as MCP</li><li>
Experience with machine learning frameworks and data science packages such as PyTorch, TensorFlow, scikit-learn, NumPy, pandas, SciPy, and statsmodels</li><li>
Experience deploying to AWS, including services such as SageMaker and Bedrock, and operating production large language model and machine learning workloads with attention to cost, latency, performance, security, and scaling</li><li>
Experience integrating human-in-the-loop and user feedback signals into iterative improvement, including active learning, preference signals, and labeling strategies</li></ul>
ABOUT US
 
 
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. 
<div><div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. 
</div></div> 
 
ABOUT THE TEAM
 
 
J.P. Morgan's Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

Applied AI ML Data Scientist, Vice President - Payments

BigHand

<div><h5 class="jobSectionHeader">About BigHand</h5> 
BigHand offers technology solutions for busy legal professionals that provide data and insights to increase value and profits. Through our expert knowledge and innovative technology, we enable our customers to achieve enhanced efficiency, better decision-making and harness their competitive edge.
We build with tomorrow in mind, transforming ideas into action and empowering our customers to succeed in a world of constant change. We make big happen for our customers.
We are a business driven by our values and have these at the centre of everything we do. Our BigHanders are dedicated to building a culture where We Win Together, We Love to Learn, We Do the Right Thing, We Own It and We Find the Fun.<h5 class="jobSectionHeader"> 
About the role</h5> 
BigHand builds software that legal organisations rely on every day. We are looking for a Data Scientist to help us design and ship products to establish our partnership with Ayora, where a clean, considered user interface meets genuinely intelligent behaviour underneath.<div>
This is a hands-on role for a data scientist who wants their work in production rather than in a notebook. You will build and evaluate the models and LLM systems that sit behind the product, contribute to how problems are framed as well as how they are solved, and take real ownership of the quality of what we release.</div><h5 class="jobSectionHeader"> 
What you&rsquo;ll do 
 
</h5><ul><li>Train, tune and evaluate models, and prepare them for production deployment alongside engineering.</li><li>
Build and improve LLM and agentic AI systems, including harnesses, retrieval augmented generation, context engineering and evaluation frameworks.</li><li>
Wrangle and analyse messy real-world legal data, and turn it into something the product can rely on.</li><li>
Design evaluations that tell us honestly whether a model or agent is working, and act on what they show.</li><li>
Explain complex statistical and machine learning concepts and results clearly, through visualisation and summarisation, including to non-technical audiences.</li><li>
Contribute to technical discussion and help refine requirements rather than simply consuming them.</li><li>
Deliver consistently within a collaborative agile framework, with a track record of predictable, high quality output.</li><li>
Develop well-constructed solutions using the best tools available, avoiding fragile shortcuts taken for short-term speed or to sidestep discussion.</li><li>
Apply modern software development lifecycle practices, including code review, testing and continuous delivery.</li></ul><h5 class="jobSectionHeader"> 
What we&rsquo;re looking for 
 
</h5><ul><li>An analytical background, evidenced by a STEM degree in a technical subject. Physical sciences or mathematics are preferred.</li><li>
Strong Python skills and competency across the Python data science ecosystem such as pandas, numpy and scikit-learn, or a highly transferable equivalent.</li><li>
Experience working with LLMs and agentic AI systems, including harnesses, RAG, context engineering and evaluations.</li><li>
Experience working safely and efficiently with agentic engineering systems.</li><li>
Solid experience with data wrangling and data analysis.</li><li>
The ability to train, tune and evaluate models and prepare them for production deployment.</li><li>
A solid understanding of modern software development lifecycle practices.</li><li>
The ability to navigate typical problems independently, contribute to discussion and help shape technical requirements.</li><li>
The ability to communicate complex statistical and machine learning concepts and their results clearly, including to non-technical audiences.</li></ul><div><div>
Desirable<ul><li>
An insatiable appetite for learning and for acquiring new knowledge, skills and experience.</li><li>
Comfort operating independently on both existing and new systems while preserving and improving a consistent project structure.</li><li>
A positive force in building the team as we grow and develop into more senior positions.</li><li>
A habit of introducing new technology and practices that accelerate the team, for example through lunch and learn sessions.</li><li>
Experience in the legal industry or another regulated environment such as health or financial services.</li></ul></div></div><h5 class="jobSectionHeader"> 
What we offer</h5><ul><li>
25 days holiday (exc. bank holidays) + 3 BigHand days off between Christmas &amp; New Year</li><li>
Various wellbeing benefits including private medical, vision, online wellbeing programs &amp; webinars, access to online therapy and Employee Resource Groups (ERG)</li><li>
Company-wide Wellness day, for our teams all across the globe to switch off and spend the day doing something to nourish their mental health</li><li>
Opportunities to give back with company volunteer events and individual volunteer days</li><li>
Career growth opportunities and study leave allowance</li><li>
Family benefits including enhanced parental leave, secondary caregiver leave and fertility support</li><li>
Financial benefits including pension scheme, life assurance, and salary sacrificing</li><li>
Cycle to Work Scheme and Tech Scheme</li><li>
Growing business with a global presence, flexible working, modern offices, and remote work options</li></ul><h5 class="jobSectionHeader">
Our DEI Commitment</h5>
We welcome the unique value and individuality that you can bring to BigHand. We are an equal opportunity employer and are dedicated to recruiting solely based on capability and potential regardless of race, gender, sexual orientation, gender identity or expression, age, educational background, national origin, religion, military status or physical ability. Our BigHanders are dedicated to advancing our culture of belonging by embracing differing viewpoints, opinions, thoughts, and ideas.</div>

Data Scientist

Behavox

<div><h4 class="jobSectionHeader">About Behavox</h4>

Behavox is shaping the future for how businesses harness their most important raw material - data. Our mission is bold: Organize enterprise data into actionable information that protects and promotes the business growth of multinational companies around the world.

From managing enterprise risk and compliance to maximizing revenue and value, our data operating platform presents a widespread opportunity to build multilingual, AI/ML-based solutions that activate data for every function within a global enterprise.

Our approach is unique, and it's validated by our customers who tell us to keep forging ahead because no one else is aggregating, analyzing, and acting on data to uncover opportunities or solve problems quite the way we are.

We are looking for fearless innovators who have an insatiable appetite for building what no one has built before.

About the Role

Behavox's Strategic Account Managers own the full commercial relationship with some of the world's most complex and highly regulated financial institutions. This includes delivery outcomes, commercial performance, executive relationships, and long-term strategic growth across a portfolio of global banks, hedge funds, asset managers, and energy firms operating under the world's most demanding regulatory frameworks.

Clients in this portfolio are building or strengthening unified controls frameworks that bring together communications surveillance, trade surveillance, compliant archiving, and policy management into a single, defensible control system. The Strategic Account Manager's role is to understand where each client sits on that journey, ensure Behavox is delivering against their current needs, and position the platform to serve the full scope of their controls framework over time. This requires full end-to-end ownership of the relationship, delivery, health, satisfaction, retention, and growth for every account in the portfolio, operating with a high degree of autonomy on account strategy, renewals, escalations, and executive relationships.

The role requires the ability to think strategically and execute operationally, often in the same day. The Strategic Account Manager will own all renewals across the portfolio, build retention strategy, lead negotiations, and close; accurately forecast ARR churn risk and develop mitigation plans; drive inbound expansion deals independently in collaboration with Account Executives; and lead executive business reviews that are genuinely strategic: conversations about compliance posture, regulatory risk, control maturity, and platform value.

This is a hybrid position based out of our London office.

What You'll Bring
<ul>
<li>Enterprise compliance technology and unified controls frameworks. Deep working knowledge of how communications surveillance, trade surveillance, compliant archiving, and policy management converge into a single control system at regulated financial institutions; understands how clients evaluate and mature their compliance posture over time.</li>
<li>Financial services regulatory environment. Understands the regulatory obligations driving client demand, from communications monitoring requirements to trade reconstruction and archiving mandates, across global banking, hedge fund, asset management, and energy sectors.</li>
<li>Multi-stakeholder account management across regulated financial institutions. Navigates complex organizational structures involving Heads of Surveillance, compliance analysts, technology teams, and operations teams; manages both executive-level strategic relationships and working-level practitioner relationships simultaneously.</li>
<li>Commercial lifecycle management for enterprise SaaS. Owns the full renewal and expansion cycle: retention strategy, churn forecasting, negotiation, close, and pipeline development in partnership with Account Executives; understands how delivery health directly impacts commercial outcomes.</li>
<li>Escalation management and operational accountability. Owns ticket triage, escalation, and resolution end to end for the full portfolio; manages complex, multi-workstream escalations with minimal manager involvement; builds relationships with Product, Engineering, and Support counterparts to accelerate resolution.</li>
</ul>
What You'll Do
<ul>
<li>Account health monitoring and risk identification. Independently assesses account health and risk across commercial, operational, and relationship dimensions; surfaces risk early by reading ticket patterns, stakeholder signals, and adoption data as intelligence; builds intervention plans without manager direction.</li>
<li>Executive business review design and delivery. Designs and executes QBRs and EBRs for all accounts including executive-level engagement; leads conversations about compliance posture, regulatory risk, control maturity, and platform value rather than product update calls.</li>
<li>Renewal ownership and churn forecasting. Owns all renewals across the portfolio: builds retention strategy, leads negotiations, closes; accurately forecasts ARR churn risk and develops mitigation plans using account health data, stakeholder intelligence, and delivery performance indicators.</li>
<li>Expansion identification and commercial execution. Drives inbound expansion deals independently; collaborates with Account Executives per Unit of One model for strategic accounts; leads with value, not discount-first positioning; builds commercial plays grounded in customer intelligence.</li>
<li>Delivery follow-through and client communication ownership. Owns the client-facing narrative when delivery issues arise, ensuring commitments made to the client are tracked and fulfilled; translates technical or operational updates into language the client can act on; holds internal teams accountable through to confirmed resolution so the client has everything they need without chasing.</li>
</ul>
What We Offer
<ul><li>A truly global mission with a passionate community in locations all over the world 
</li>
<li>Huge impact and learning potential as our aspirations require bold innovation 
</li>
<li>Highly competitive compensation</li>
<li>Benefits include fully covered health coverage for employee and family 
</li>
<li>Generous time-off policy and flexible work schedule</li>
</ul>
About Our Process 

We take Talent very seriously and we are building a community of extraordinary individuals working together in very high performing teams. We also know that the best Talent always has options so we believe that the process has to be a two way assessment - the company AND the candidate assessing the business needs alignment, the career next step alignment, and the cultural alignment. 
 
During the process we will begin by exploring the core factors regarding salary and location along with core experience and skills and values alignment. We will then deep dive explore the critical technical competencies we have identified for the role, and then we will deep dive in behavioral competencies. 
 
The most aligned candidate will then be asked to do a practical work task simulation activity so we can make sure that you will enjoy the kind of work the role requires, and this task will typically be presented and discussed with a group of colleagues and managers. Finally we will ask you to meet with a number of our senior leaders to make sure that you are making the most informed call possible.

Please note that:
<ul>
<li>We want to get to know you and have a genuine conversation, so the use of AI tools or assistance during live interviews is strictly prohibited and will result in immediate disqualification from the process</li>
<li>Interviews may be recorded for internal review purposes to ensure fairness and enable collaborative hiring discussions within the team.</li></ul></div>

Strategic Account Manager 3

NTT DATA

Make an impact with NTT DATA
 Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.
 
Your day at NTT DATA
 
We are seeking an accomplished and detail-oriented Snowflake Data Engineer to join our Data AI practice. The successful candidate will bring deep expertise in data engineering, ETL/ELT pipelines, and cloud-native data platforms, with a strong focus on Snowflake. This role is critical in building and optimizing modern data ecosystems that enable data-driven decision making, advanced analytics, and AI capabilities for our clients.
 
As a trusted practitioner, you will collaborate with architects, developers, and analysts to design, implement, and maintain secure and high-performing data pipelines. You will thrive in a collaborative, client-facing environment, with a passion for solving complex data challenges, driving innovation, and ensuring the seamless delivery of data solutions.
 
Looking ahead to future opportunities. As our business continues to grow, we are building a pipeline of exceptional talent for upcoming positions across the UK. This advertisement is intended to identify and engage candidates in advance of specific vacancies becoming available. We encourage you to apply if you would like to be considered for future opportunities that match your expertise
 
Primary Responsibilities
 <ul>
<li>Client Engagement Delivery</li>
<li>Data Pipeline Development (Batch and Streaming)</li>
<li>Snowflake Cloud Data Platforms</li>
<li>Data Architecture Modelling</li>
<li>Collaboration Best Practices</li>
<li>Quality, Governance Security</li>
</ul>
Business Relationships
 <ul>
<li>Solution Architects</li>
<li>Data Engineers, Developers, ML Engineers and Analysts</li>
<li>Client stakeholders up to Head of Data Engineering, Chief Data Architect, and Analytics leadership</li>
</ul>
To thrive in this role, you need to have: 
Key Competencies
 <ul>
<li>Proven experience in data engineering and pipeline development on Snowflake and cloud-native platforms.</li>
<li>Strong consulting values with ability to collaborate effectively in client-facing environments.</li>
<li>Hands-on expertise across the data lifecycle: ingestion, transformation, modelling, governance, and consumption.</li>
<li>Strong problem-solving, analytical, and communication skills.</li>
<li>Experience leading or mentoring teams of engineers to deliver high-quality scalable data solutions.</li>
</ul>
Technical Expertise
 <ul>
<li>Deep expertise with Snowflake features (warehouses, Snowpark, data sharing, performance tuning).</li>
<li>Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent.</li>
<li>Strong SQL and Python (or equivalent language) skills for data manipulation and automation.</li>
<li>Hands-on experience with cloud platforms (AWS, Azure, GCP).</li>
<li>Knowledge of data modelling methodologies (star schemas, Data Vault, Kimball, Inmon).</li>
<li>Familiarity with data lake architectures and distributed processing frameworks (e.g., Spark, Hadoop).</li>
<li>Experience with version control tools (GitHub, Bitbucket) and CI/CD pipelines.</li>
<li>Understanding of data governance, security, and compliance frameworks.</li>
<li>Exposure to AI/ML workloads desirable.</li>
</ul>
Experience, Qualifications, and Education
 <ul>
<li>Experience: Minimum 5–8 years in data engineering, data warehousing, or data architecture roles, with at least 3 years working with Snowflake.</li>
<li>Education: University degree required.</li>
<li>Preferred: BSc/MSc in Computer Science, Data Engineering, or related field</li>
<li>Snowflake certifications (SnowPro Core, Advanced) highly desirable.</li>
</ul>
Measures of Success
 <ul>
<li>Delivery of high-performing, scalable, and secure data pipelines aligned to client requirements.</li>
<li>High client satisfaction and successful adoption of Snowflake-based solutions.</li>
<li>Demonstrated ability to innovate and improve data engineering practices.</li>
<li>Contribution to the growth of the practice through reusable assets, accelerators, and technical leadership.</li>
</ul>
Workplace type: 
About NTT DATA
 NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune
 
Global 100. We are committed to accelerating client success and positively impacting society through
 
responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with
 
unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and
 
application services. Our consulting and industry solutions help organizations and society move
 
confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more
 
than 70 countries. We also offer clients access to a robust ecosystem of innovation centers as well as
 
established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each
 
year in RD.
 
Equal Opportunity Employer
 NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.
 
Third parties fraudulently posing as NTT DATA recruiters
 
NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters whether in writing or by phone in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an nttdata.com email address. If you suspect any fraudulent activity, please contact us.

Snowflake Data Engineer

Make an impact with NTT DATA
 Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.
 
Your day at NTT DATA
 
We are seeking a highly skilled Databricks Data Engineer to join our Data AI practice. The successful candidate will have deep expertise in building scalable data pipelines, optimizing Lakehouse architectures and enabling advanced analytics and AI use cases on the Databricks platform. This role is critical in building and optimizing modern data ecosystems that enable data-driven decision making, advanced analytics, and AI capabilities for our clients.
 
As a trusted practitioner, you will design and implement robust ETL/ELT workflows, integrate real-time and batch data sources, and enable secure, well-governed data products and pipelines. You will thrive in a collaborative, client-facing environment, with a passion for solving complex data challenges, driving innovation and ensuring the seamless delivery of data solutions.
 .
 
Looking ahead to future opportunities. As our business continues to grow, we are building a pipeline of exceptional talent for upcoming positions across the UK. This advertisement is intended to identify and engage candidates in advance of specific vacancies becoming available. We encourage you to apply if you would like to be considered for future opportunities that match your expertise
 
Primary Responsibilities
 <ul>
<li>Client Engagement Delivery</li>
<li>Data Pipeline Development (Batch and Streaming)</li>
<li>Databricks Lakehouse Architectures</li>
<li>Data Modelling Optimisation (Delta Lake, Medallion architecture)</li>
<li>Collaboration Best Practices</li>
<li>Quality, Governance Security</li>
</ul>
Business Relationships
 <ul>
<li>Solution Architects</li>
<li>Data Engineers, Developers, ML Engineers, and Analysts</li>
<li>Client stakeholders up to Head of Data Engineering, Chief Data Architect, and Analytics leadership</li>
</ul>
To thrive in this role, you need to have: 
Key Competencies
 <ul>
<li>Proven experience in data engineering and pipeline development on Databricks and cloud-native platforms.</li>
<li>Strong consulting values with ability to collaborate effectively in client-facing environments.</li>
<li>Hands-on expertise across the data lifecycle: ingestion, transformation, modelling, governance, and consumption.</li>
<li>Strong problem-solving, analytical, and communication skills.</li>
<li>Experience leading or mentoring teams of engineers to deliver high-quality scalable data solutions.</li>
</ul>
Technical Expertise
 <ul>
<li>Deep expertise with the Databricks platform (Spark/PySpark/Scala, Delta Lake, Unity Catalog, MLflow).</li>
<li>Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent.</li>
<li>Strong SQL and Python (or equivalent language) skills for data manipulation and automation.</li>
<li>Hands-on experience with cloud platforms (AWS, Azure, GCP).</li>
<li>Familiarity with Databricks Workflows and other orchestration tools.</li>
<li>Knowledge of data modelling methodologies (star schemas, Data Vault, Kimball, Inmon).</li>
<li>Familiarity with medallion architectures, data lakehouse principles and distributed data processing.</li>
<li>Experience with version control tools (GitHub, Bitbucket) and CI/CD pipelines.</li>
<li>Understanding of data governance, security, and compliance frameworks.</li>
<li>Exposure to AI/ML workloads desirable.</li>
</ul>
Experience, Qualifications, and Education
 <ul>
<li>Experience: Minimum 5–8 years in data engineering, data warehousing, or data architecture roles, with at least 3 years working with Databricks.</li>
<li>Education: University degree required.</li>
<li>Preferred: BSc/MSc in Computer Science, Data Engineering, or related field</li>
<li>Databricks certifications (Data Engineer Professional) highly desirable.</li>
</ul>
Measures of Success
 <ul>
<li>Delivery of high-performing, scalable, and secure data pipelines aligned to client requirements.</li>
<li>High client satisfaction and successful adoption of Databricks-based solutions.</li>
<li>Demonstrated ability to innovate and improve data engineering practices.</li>
<li>Contribution to the growth of the practice through reusable assets, accelerators, and technical leadership.</li>
</ul>
Workplace type: 
About NTT DATA
 NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune
 
Global 100. We are committed to accelerating client success and positively impacting society through
 
responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with
 
unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and
 
application services. Our consulting and industry solutions help organizations and society move
 
confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more
 
than 70 countries. We also offer clients access to a robust ecosystem of innovation centers as well as
 
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Databricks Data Engineer

University of Sunderland

Job Title: Associate Lecturer in Computer Science with Artificial Intelligence
Department: Academic Operations
Location: London, Canary Wharf
Contract Type: Fixed Term until 31 January 2027
Hours: Variable Hours
Hourly Rate: &pound;27.20-&pound;32.30. Consolidated rate for Cat 1 inc holiday pay: &pound;66.00 to &pound;78.39
About The Role
The University of Sunderland in London is seeking an enthusiastic and industry-engaged Associate Lecturer to contribute to the delivery of our innovative BSc (Hons) and MSc Computer Science with Artificial Intelligence programmes. This is an exciting opportunity to teach within a modern curriculum that combines computer science, artificial intelligence, software engineering, cloud computing, machine learning and responsible digital innovation. Our programmes are delivered predominantly through face-to-face teaching in London and emphasise practical, project-based learning and authentic assessment.
You will deliver high-quality teaching and learning across undergraduate and postgraduate modules. You will facilitate lectures, workshops and laboratory sessions, support students&rsquo; academic development, assess coursework and contribute to an inclusive and engaging learning environment.
Teaching opportunities are available across a range of subject areas including:
Programming and Software Development (Python, Java, Object-Oriented Programming)
Algorithms, Data Structures and Computational Thinking
Mathematics for Computing and Data Science
Database Systems and Big Data Technologies
Software Engineering and System Architecture
Cloud Computing and Distributed Systems
Artificial Intelligence and Intelligent Systems
Machine Learning and Deep Learning
Natural Language Processing
Responsible AI, Ethics and Human-Centred Computing
Capstone AI Innovation Projects
Professional Practice, Agile Development and Emerging Technologies
Key Responsibilities
Deliver engaging lectures, workshops and practical laboratory sessions.
Support students through academic guidance, feedback and personal development.
Design and assess authentic coursework including software artefacts, technical reports, presentations and portfolios.
Supervise undergraduate and postgraduate capstone projects during workshops.
Embed inclusive teaching practices and promote student success.
Maintain academic standards in line with the university and QAA Quality Assurance expectations.
Contribute to curriculum enhancement and continuous quality improvement.
Integrate contemporary industry tools, cloud platforms and AI technologies into learning activities.
About Our Programmes
Our BSc (Hons) Computer Science with Artificial Intelligence programme takes students from foundational computing concepts to advanced AI applications. Students gain expertise in programming, algorithms, software engineering, databases, machine learning, deep learning, and cloud-based AI deployment, culminating in a substantial Capstone AI Innovation Project.
The MSc Computer Science with Artificial Intelligence develops advanced technical and professional capabilities through practice-oriented learning. Students build scalable software systems, develop intelligent AI solutions, work with cloud and big data technologies and complete an industry-relevant capstone project. All modules are assessed through coursework rather than traditional examinations, reflecting authentic professional practice.
Essential Requirements
A postgraduate qualification (Master&rsquo;s or PhD) in Computer Science, Artificial Intelligence, Data Science, Software Engineering or a closely related discipline.
Demonstrable expertise in one or more of the subject areas listed above.
Experience with tools such as Python, Java, TensorFlow, PyTorch, SQL, Docker, Kubernetes, Git and cloud platforms (AWS, Azure or GCP).
Experience of teaching, training or mentoring in higher education or professional settings.
Excellent communication and interpersonal skills.
Experience of designing or assessing practical computing assignments.
A commitment to equality, diversity and inclusive education.
 Desirable
Fellowship of Advance HE (or willingness to work towards it).
Industry experience in software development, AI, cloud computing or data engineering.
Knowledge of Agile methodologies and DevOps practices.
Experience in supervising capstone projects.
We reserve the right to close this vacancy earlier than the advertised closing date.
For an informal discussion, contact: Dr Yahaya Alhassan, Head of Academic Operations via yahaya.alhassan@sunderland.ac.uk
 <div><div>Job Details</div>
<div><div><div>Department</div>
<div>University of Sunderland in London - Academic Operations</div>
<div>Location</div>
<div>University of Sunderland in London</div>
<div>Hours per Week</div>
<div>Variable</div>
<div>Closing Date</div>
<div>Thursday 10 September 2026</div>
<div>Interview Date</div>
<div>To be confirmed
</div><div>Reference</div>
<div>USL819</div></div></div></div><div></div>

Associate Lecturer in Computer Science with Artificial Intelligence

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