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Added 17 mins ago
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FPGA AI Accelerator Engineer
O-HIVE.AI
Windsor, ON
- Full-time
We are seeking a talented and motivated FPGA Engineer to join our engineering team and contribute to the development of hardware-accelerated spatial vision and edge AI systems.
Added 48 mins ago
QI
Staff ASIC Verification Engineer, Low Power AI
Qualcomm Innovation Center, Inc.
Markham, ON
- Full-time
Qualcomm Technologies Audio AI products are designed to offer premium wireless connectivity, high levels of integration, immersive sound quality, and on-device AI for smart audio and…
Added 48 mins ago
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Ingénieur(e) senior en gestion de projets et optimisation des ressources
PepsiCo
Levis, QC
- Full-time
The Supply Chain Transformation and Engineering team is looking for a Project Engineer to support and lead capital investments for the PFC division, mainly for the Frito Lay Lauzon plant as…
Added 19 hours ago
SG
Electronics Engineer
Sander Geophysics
Ottawa, ON
- Full-time
Work with the geophysical research and development department from initial instrument design through prototype, integration and initial deployment;
Added 20 hours ago
MD
Sustainability and Public Health Engineer - Engineer Principal
Minnesota Direct Care and Treatment
Saint-Paul, NB · St.-Paul, NB
- Full-time
The Sustainability and Public Health Engineer leads engineering activities for the Office of Sustainability and Public Health (OSPH) by integrating sustainability and public health into…
Added 21 hours ago
EI
Director of Engineering And Operations
Entegrus Inc
St. Thomas, ON
- Full-time
In conjunction with the Vice President, lead the budget process, including the capital budget and OM&A expense budget. Oversee scheduling and implementation and identify and mitigate budget…
Added 23 hours ago
IC
Compiler Engineer
Intel Corporation
Toronto, ON · CAN - - Toronto
- Full-time
We are hiring a Compiler Engineer to work on Intel's open-source compiler stack. You will work on the development of new features that will enable the latest language standards. This work…
Added 1 day ago
AA
Architecte PLM Senior / Senior PLM Architect
Airbus Aircraft
Montreal, QC
- Full-time
…d'ingénierie unifiés et d'un ensemble d'outils pour soutenir l'intégration de nos centres de compétences en ingénierie, ainsi que des fonctions périphériques telles que les Opérations, le…
Added 1 day ago
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Mechanical Technologist - Integration
AtkinsRéalis
Mississauga, ON
- Full-time
Reporting to the Manager of Retube Tooling – Common Tools, the Mechanical Technologist (Integration) would support Qinshan tooling scope. The candidate will be responsible for testing,…
Added 1 day ago
Q
Power Systems Specialist III
Qualus
Bolton, ON
- Full-time
Power your future with Qualus as a Power Systems Engineer III. The Engineer III is responsible for providing technical and engineering support for field work, and office work performing…
Added 1 day ago
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Building Structural Engineer
BPA
Montreal, QC
- Full-time
We are seeking a Structural Design Engineer who is passionate about in-depth structural design and technical challenges. The role is primarily focused on the analysis, sizing, and…
Added 1 day ago
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Building structural Engineer
BPA
Repentigny, QC
- Full-time
We are seeking a Structural Design Engineer who is passionate about in-depth structural design and technical challenges. The role is primarily focused on the analysis, sizing, and…
Added 1 day ago
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Building structural Engineer
BPA
Longueuil, QC
- Full-time
We are seeking a Structural Design Engineer who is passionate about in-depth structural design and technical challenges. The role is primarily focused on the analysis, sizing, and…
Added 1 day ago
PH
Analytics Engineer, Risk
Propel Holdings
Toronto, ON
- Full-time
…messy processes into repeatable automation. As the Analytics Engineer, Risk, you’ll join the Model Development team within Risk, working closely with the Manager, Model Development, Data…
Added 1 day ago
Quality Production Associate - Machining (Afternoons)
INNIO
Welland, ON
Provide support to machining cells in the use of gauges and the integration of measurement results into quality data systems
Added 1 day ago
EC
Product and Application Engineer Opportunity (Facade Focused)
EJOT Construction Fastening Systems Inc. Canada
Toronto, ON
- Full-time
Currently, we are looking for a Product and Application Engineer (Facade Focused) to be part of EJOT Canada’s technical team. He/She will be based locally in Ontario and will support…
Added 1 day ago
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Infrastructure Analyst
Procom
Richmond, BC
- $63,750 to $85,000 CAD / year
- Full-time
Lead infrastructure-related projects and manage the implementation process
Added 1 day ago
A
Ingénieur En Qualité/Software Quality Engineer
Actalent
Longueuil, QC
- $39 to $57 CAD / hour
- Contract
The Software Quality Engineer will join the Software Quality department supporting engine programs. This group is responsible for reviewing software delivered by internal software teams and…
Added 1 day ago
A
Ingenieur Systemes V&V
Actalent
Sainte-Anne-de-Bellevue, QC
- $50 to $80 CAD / hour
- Contract
…vérification et validation des charges utiles, l'assemblage, l'intégration et le test (AIT), le support RF et les activités de vérification des plateformes/satellites. La priorité immédiate…
Added 1 day ago
A
Manufacturing Engineer
Actalent
Oshawa, ON
- $45 to $55 CAD / hour
- Contract
The Manufacturing Engineer plays a key role in improving dimensional quality for body and general assembly parts and subassemblies in both launch and steady-state production. This role…
Added 1 day ago
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Technology Manager
Skip
Oakville, ON
- Full-time
…implementation of solutions built by your engineering team. We engineer for high scale and low latency, ensuring our location insights operate in near real-time while seamlessly integrating…
Added 1 day ago
Senior OT Control Systems - Engineering Specialist
Mariner
Saint John, NB
We are seeking a Senior OT Control Systems Engineer to join a critical industrial operations environment in Saint John, New Brunswick. In this role, you will be responsible for the design,…
Added 1 day ago
Q
FY27 Intern - Camera Systems Internship - Canada (16 months)
Qualcomm
Vancouver, BC
- Full-time
As a Qualcomm Camera Engineer, you will develop technologies that impact everyday experiences, from capturing lasting memories to enabling innovative devices through advanced human and…
Added 1 day ago
TU
Data Science & AI Graduate Scheme - Halifax
targetjobs UK
Halifax, NS
- Temporary
A Machine Learning & AI Engineer designing and deploying robust ML systems that bring data science to life through automation, CI/CD, and modern cloud engineering practices.
Added 1 day ago
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Oracle Fusion Financial Engineer - Subscriptions, Billing & Revenue
Lime
Remote, Canada
- $102,000 to $143,000 CAD / year
- Full-time
- Remote
We are seeking a strong techno-functional Oracle Fusion engineer to support and enhance Lime’s OTC and revenue platforms. This person will independently deliver scoped configuration,…

targetjobs UK

Data Science & AI Graduate Scheme - Halifax

Halifax, NS, Canada

Temporary

Apply About employer

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Job details

Job type: Temporary
Apply by: Nov 29, 2026
Posting language: English
Posted: Oct 30, 2026

Original job description

Code. Analyse. Transform. For those with a passion for data that can solve big challenges and reimagine finance, this is the opportunity for you.

Duration – 2 years

Salary – £48,500 plus fantastic benefits

Locations – Bristol, Edinburgh, Leeds, Halifax, London and Manchester. You may need to have regional flexibility whilst on programme. Mix office and home working with our hybrid working policy.

Qualifications - Choose from various qualifications to boost your career, including certifications through Stanford University Online. Work to a personal learning plan that matches your interests and goals.

Your AI era starts now

At Lloyds Banking Group, data isn’t just something we store in the cloud. It’s the juice that keeps ideas flowing, decisions sharper, and progress unstoppable.

Our Chief Data & Analytics Office has one mission: weave data, analytics and AI into every decision we make. The goal? Simple. Every choice, everywhere, driven by data.

As a Data Science & AI Graduate, you won’t be on the sidelines watching the algorithms run the show. You’ll be training models, crafting algorithms, deploying scalable solutions, and showing exactly what AI can do in the real world. Whether you’re optimising performance, unlocking insight or making predictions, everything you do will be rooted in data literacy, ethics and genuine business impact.

Two years. Two game-changing rotations

This two-year programme blends office and home working. Across two year-long placements, you’ll see how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools.

You Could Become

A Data & AI Scientist uncovering insights, making predictions and solving complex problems with machine learning techniques. Always with an ethical and accurate lens.
A Machine Learning & AI Engineer designing and deploying robust ML systems that bring data science to life through automation, CI/CD, and modern cloud engineering practices.

Wherever you land, you’ll be working with some of the biggest datasets in the UK - using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications.

The work you could be doing

Cloud-native AI engineering and large-scale data platforms, leveraging Google Cloud technologies and modern coding practices to design, build and deploy intelligent solutions, helping the Bank innovate rapidly and deliver value at scale.
Advanced analytics, statistical learning and decision intelligence, applying quantitative techniques to uncover patterns, generate insights and optimise outcomes, enabling more informed decisions for both the business and its customers.
Machine Learning, predictive modelling and applied AI, developing, evaluating and operationalising models using state-of-the-art libraries and frameworks such as scikit-learn, TensorFlow, PyTorch and XGBoost, helping tackle complex challenges including in areas like fraud prevention, credit risk management and customer personalisation.
Generative AI, Large Language Models and autonomous agent systems, building next-generation AI applications using foundation models, retrieval-augmented generation (RAG) architectures and agent frameworks such as Google ADK and LangChain, helping transform how the Bank serves customers and empowers colleagues.
Data engineering, MLOps and intelligent automation, creating resilient data pipelines, scalable deployment architectures and automated machine learning workflows using contemporary engineering and CI/CD practices, enabling AI solutions to operate reliably across the enterprise.
AI assurance, evaluation science and model governance, designing rigorous testing, monitoring and validation frameworks for machine learning models and agentic systems, ensuring AI solutions remain robust, trustworthy and aligned to the Bank's strategic objectives.
Responsible AI, explainability and algorithmic governance, applying principles of fairness, transparency, interpretability and risk management throughout the AI lifecycle, helping maintain customer trust while delivering innovative AI capabilities.

Your skills toolkit

You’ll Master

Python & SQL
Cloud platforms like GCP
Data Analysis
Machine learning techniques, both theory and application
Generative and Agentic AI
AI Solution design and evaluation techniques
CI/CD and DevOps

…all delivered through a commercial lens

Your multi-week AI power-up

We start with a blended learning bootcamp. Your fast track from fundamental concepts to advanced technologies and AI skills (and your chance to learn a few tricks even the bots don’t know yet).

You’ll Cover

Foundations of machine learning
AI literacy
Ensemble methods & model optimisation
Databases & big data
Neural networks & deep learning
LLM foundations, engineering, customisation and integration
Generative and Agentic AI
MLOps & cloud computing

It’s all live lectures, tutor-led group work and real-world challenges from day one.

Learn it. Apply it. Keep going

Your Personal Learning Plan Could Include

Up to three Stanford Artificial Intelligence Professional Programmes
Google Cloud certifications
Coursera courses on everything from advanced ML to AI ethics and explainability

And because your career is more than your day job, you’ll get stuck into side-of-the-desk projects to build your network, test fresh ideas and put your creativity to work.

The team in your corner

A dedicated mentor
A close-knit community of data professional who speak fluent Python… and coffee, naturally

Your future. Fully funded

You’ll earn a good salary while mastering the skills shaping the future of tech and finance. Training? Bootcamp? Certifications? All on us.

By the end, you’ll have the technical confidence, strategic mindset and industry know-how to take your career wherever you want - from deep technical roles to AI strategy leadership… or even inventing the next big thing that no-one has thought of yet.

Requirements

What you need to apply

While we do not require a set minimum degree achievement, we strongly recommend the ability to be able to demonstrate sound knowledge, understanding and technical skills aligned to the role. Some aspects of this will be assessed through the application process.
We encourage all students to apply, from newly graduated through to MSc/PhD. Note: we cannot sponsor visas.
Knowledge of analytical techniques and experience in manipulating and deriving insight from data.Python coding experience, knowledge of SQL and the ability to use statistical modelling techniques as this will form a part of the assessments.

Locations 

Bristol, Edinburgh, Halifax, Leeds, London, Manchester. You will be expected to work in your allocated office a minimum of two days a week as part of our hybrid working policy.

Opening and Closing Date 

Applications for our Data Science & AI Graduate Scheme opens on 10th September and close on the 29th November, except for the London location which closes on 11th October.

Apply soon as our programmes may close early if we receive a high number of applications. 

How to Apply

Our application process is designed to help you shine. We want everyone to feel they belong and can be their best, regardless of background, identity, or culture.

Apply About employer

More about this job

Responsibilities

Develop, evaluate, and deploy machine learning models, AI applications, data pipelines, and scalable cloud-based solutions to address challenges such as fraud, credit risk, and customer behavior. Apply rigorous testing, monitoring, governance, and responsible AI practices to ensure solutions are reliable, ethical, and valuable to the business and its customers.

Requirements

Applicants should demonstrate knowledge of analytical techniques, data manipulation and insight generation, Python coding, SQL, and statistical modeling; these skills may be assessed during the application process. No minimum degree achievement is required, and applications are encouraged from recent graduates through MSc and PhD candidates; visa sponsorship is not available.

Skills

Python
SQL
Data Analysis
Statistical Modeling
Machine Learning
Generative AI
Agentic AI
Cloud Computing
Google Cloud Platform
Data Engineering
MLOps
CI/CD
DevOps
Model Evaluation
Responsible AI
Data Literacy

Benefits

Fully Funded Training
Certifications
Personal Learning Plan
Mentorship
Hybrid Working

Visa sponsorship

Not detected in the job text

Keywords

Python
SQL
Google Cloud Platform
Spark
Scikit-Learn
TensorFlow
PyTorch
XGBoost
Google ADK
LangChain
Machine Learning
Statistical Learning
Predictive Modeling
Generative AI
Large Language Models
Retrieval-Augmented Generation
Agent Frameworks
Data Engineering
MLOps
CI/CD
Cloud Computing
Big Data
Neural Networks
Deep Learning
Ensemble Methods
Model Optimization
AI Assurance
Model Governance
Responsible AI
Explainability

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